Dr. Pankaj Dadheech

Scopus Publications

INTEGRATED REVIEW OF EEG SIGNAL CLASSIFICATION MODELS FOR SSVEP, ATTENTION AND MOTOR IMAGERY USING MACHINE AND DEEP LEARNING ALGORITHMS
Pradeep Kr. Sharma, Pankaj Dadheech
Journal of Mechanics of Continua and Mathematical Sciences, 2026
New developments in the Brain-Computer Interface (BCI) technology have increased the rate at which research has been done on precise and quick electroencephalography (EEG)-based signal classification models. This review analyses new trends, procedures, problems, and gaps in research on EEG signal classification in three large cognitive paradigms: Steady-State Visual Evoked Potential (SSVEP), detection of the attention focus, and motor imagery (MI). These paradigms form the focus of real-time BCI applications, e.g., assistive technologies, neurorehabilitation, adaptive learning, and augmented interaction systems. The analysis presented in the paper on the development of the traditional machine learning (ML) and the modern deep learning (DL) models of the EEG interpretation systematically reviews the progression of the original ideas in the EEG interpretation field. Power spectral density analysis, Common Spatial Patterns (CSP), wavelet transform, and empirical mode decomposition (EMD) techniques of feature extraction, and Support Vector Machine (SVM), Random Forest (RF), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM) techniques are critically examined. Some of the performance evaluation metrics that are widely employed in the literature are also addressed. Special attention is paid to the real-life issues that accompany real-world EEG data, such as low signal-to-noise ratio, artifact contamination, inter-subject variability, limited diversity of datasets, and bad model interpretability. It is believed that such public benchmark datasets as BCI Competition datasets, PhysioNet, and other multi-subject repositories can be used to support comparative analysis. Additional requirements of unified evaluation frameworks, real-time system-aware assessment, hybrid models, multimodal fusion strategies, transfer learning, and explainable AI have been identified in the review in an attempt to enhance the accuracy, robustness, and trustworthiness of EEG-based cognitive systems. On the whole, the given study can be used as a consolidated basis for the creation of future-generation EEG-based BCI frameworks.
A novel algorithmic approach of progressive transfer learning for MRI braintumor classification using VGG16 architecture
Sunil Kumar Agarwal, Yogesh Kumar Gupta, Pankaj Dadheech
Journal of Interdisciplinary Mathematics, 2026
Many diseases exist worldwide. Among them, a brain tumour is the most dangerous and critical disease for human survival. Early detection of this abnormality is essential for effective patient treatment. The objective of the present research is to define a progressive transfer learning technique with the help of the VGG16 model to accurately identify and classify human brain tumour MR images. The results provide evidence of the significance of the applied framework. The experimental efficiency of the framework was 98.15%, demonstrating the importance of the VGG16 model over other frameworks. Moreover, future work suggests important concepts related to improving the fine-tuning process, regularisation methods, and other related work to enhance the overall performance of the suggested framework.
Mathematical cognitive modelling enhanced by deep learning for understanding human decision making in complex sequential tasks
Gayathri Ananthakrishnan, Hayder M. A. Ghanimi, Kolluru Suresh Babu, Anilambica Kata, Gunaganti Sravanthi, Aseel Smerat, Sudhakar Sengan, Pankaj Dadheech
Journal of Interdisciplinary Mathematics, 2026
Conventional mathematical models and data-driven deep learning (DL) methods are both tested for Human Decision-Making (HDM) in Complex Sequential Tasks (CST). These methods include complicated cognitive functions. Considering the use of adaptive timing mechanisms, the present research introduces a hybrid model that includes statistical cognitive dynamic models with Bidirectional Long Short-Term Memory (BiLSTM) attention networks. While DL serves as the basis for collecting temporal behavioural patterns, the mathematical model is vital for recording value changes, cognitive load, and decision selection by its application of classical Boltzmann logic. The mathematical model of contraction mapping serves as the basis for the invention of convergence guarantees. The recommended model achieves 84.7% prediction accuracy and improved cognitive state alignment (CSD=0.187) when tested on the Iowa Gambling Task dataset, involving 617 participants. The proposed model improves the accuracy of mathematical models by 12.4% and the validity of DL by 3.5%. This research has enabled the interpretation of artificial intelligence (AI) for human-centred decision support systems.
Stochastic differential equation modeling of climate-driven ecological population dynamics
L. V. Arun Shalin, Hayder M. Ali, Saleh Ali Alomari, T. Santhi Sri, G. Sivakumar, Aseel Smerat, Sudhakar Sengan, Pankaj Dadheech
Journal of Interdisciplinary Mathematics, 2026
Complex, non-linear human connections contribute to the significant impact that the inherently unpredictable nature of environmental factors (EF) has on the behavior of environmental populations. To forecast climate-driven population changes, this study proposes a hybrid model combining Statistical Learning (SL) with Stochastic Differential Equations (SDE). For the aim of Feature Selection (FS) and the detection of temperature anomalies, this investigation applies Mutual Information and Bayesian Data Augmentation (MI + BDA). The Earth Solar System (ENSO) index has been identified as the primary predictor. This work implements stochastic forcing variables that characterize ecological risk in the climate-coupled SDE. Forecasting methods have been reported to have lower predictive accuracy (R² = 0.92, RMSE = 0.12) than the proposed model, as tested with the North Atlantic cod and Adélie penguin datasets. The environment faces significant temperature constraints, according to this investigation and other studies on sustainable development. The empirical evidence indicates that a 78% increase in the Risk of Death (RoD) over 52 years is associated with temperatures exceeding 3.5°C. Maintain awareness that this study proves the value of non-linear climate-population correlations, which are vital to the maintenance of biodiversity
Secure and transparent artificial intelligence through uncertainty-infused algebraic frameworks
Bagesh Kumar, Jeba Nega Cheltha, Praveen Kumar Yadav, Manish Kumar Sharma, Pankaj Dadheech, Shyam Sunder Manaktala
Journal of Discrete Mathematical Sciences and Cryptography, 2026
Explainable Artificial Intelligence (XAI) increasingly demands mathematically grounded frameworks that not only enhance transparency and interpretability but also ensure computational security and trust. Existing explainability methods often rely on post-hoc approximations that lack both structural rigor and security assurance. This work introduces an uncertainty-infused algebraic framework that extends classical algebraic systemssuch as groups, rings, and latticesby embedding probabilistic and fuzzy semantics directly into their operational structure. The proposed formulation enables the structured representation and manipulation of ambiguous or incomplete information while maintaining interpretability through mathematically traceable transformations.By integrating uncertainty within algebraic foundations, the framework bridges symbolic reasoning and data-driven learning, offering a unified approach that enhances both transparency and resilience against adversarial or inconsistent transformations. Moreover, the algebraic traceability of uncertain computations contributes to security-aware interpretability, enabling the detection of anomalous operations and ensuring reliable model reasoning. Demonstrations across interpretable neural architectures, symbolic reasoning, and knowledge graphs highlight the potential of this approach to strengthen robustness, semantic clarity, and computational integrity. This theoretical contribution provides a rigorous mathematical pathway toward the design of transparent, interpretable, and secure AI systems grounded in uncertainty-aware algebraic principles.
Evaluating Vegetation Indices for Crop Monitoring Using Multispectral Satellite Imagery
Priyanka Sharma, Pankaj Dadheech
Communications in Computer and Information Science, 2026
ECn-MultiBSTM: multiclass epileptic seizure classification using electro cetacean optimized bidirectional long short-term memory model
Pankaj Kunekar, Pankaj Dadheech, Mukesh Kumar Gupta
Cognitive Neurodynamics, 2025
Quantum-resilient cryptographic schemes using multivariate polynomial lattices
Neha Janu, Loveleen Kumar, Dinesh Kumar Saini, Pankaj Dadheech, Blessy Thankachan
Journal of Discrete Mathematical Sciences and Cryptography, 2025
In the changing field of post-quantum cryptography, making digital communications immune to quantum attacks is a footstone. This paper proposes a new cryptographic platform called Multivariate Polynomial Lattices (MPL) which combines the structural hardness of lattice-based cryptography with the algebraic hardness of multivariate polynomial systems. MPL uses discrete mathematics to develop strong cryptographic primitives that are secure against classical and quantum attacks. The introduced scheme extends (beyond) currently Multivariate Polynomial Cryptography (MPC3 (d) where it involves lattice into polynomial forms, thus making attacks more difficult if not impossible for anybody but the parities of the scheme. Our method is not only immune to attacks based on algebraic and Grobner basis but also has practical performance so that it can be practically deployed and used in the real world. A full proof that MPL is secure and a full analysis of its performance are presented to show the viability and security of MPL for post-quantum cryptographic schemes. This paper emphasizes the essential nature of lattice structures based polynomial cryptography for the development of this field for securing the digital communications in the future.
Manifold learning and differential geometry for disease detection and risk prediction
Ashish Kumar, Komal Mehta Bhagat, Pankaj Dadheech, Sanwta Ram Dogiwal, Rakesh Sharma
Journal of Interdisciplinary Mathematics, 2025
Healthcare datasets pose unique challenges: they are large, varied, and often contain hidden structure that standard analysis methods struggle to reveal. In this work, we propose a practical approach that combines tools from manifold learning (for example, Isomap or t-SNE) with ideas borrowed from differential geometry (such as curvature and geodesics). First, we use manifold techniques to reduce the dimensionality of complex, multi-modal inputs—ranging from wearable sensors and imaging scans to electronic health records while still preserving the data’s underlying shape. Next, by examining the resulting low-dimensional “surface” through a geometric lens, we extract features that shed light on subtle relationships among patients’ measurements, relationships that might otherwise go unnoticed. These geometric insights are then woven into a deep neural network, effectively guiding the model toward more reliable predictions of disease presence and future health risks. In our experiments, this hybrid strategy yields noticeably higher accuracy for early detection compared to conventional methods. Importantly, because we can trace predictions back to geometric properties such as how data points “bend” or “connect” on the inferred manifold clinicians gain a clearer picture of why certain patients are flagged as high risk. Beyond the technical gains, this framework is well suited for real-world healthcare settings, including resource-limited environments common in parts of India. By focusing on interpretable, scalable methods, we aim to deliver a solution that can be adopted without extensive computational resources. Looking ahead, we plan to refine the pipeline for near-real-time use enabling, for instance, community health workers to monitor groups of patients at once and to explore applications in population-level screening and preventative healthcare.
Enhancing crypto-interoperability resilience (CIR) by bridging the gap between classical and post-quantum cryptographic standards
Tarun Jain, Loveleen Kumar, Ginika Mahajan, Pankaj Dadheech, Blessy Thankachan
Journal of Discrete Mathematical Sciences and Cryptography, 2025
With the emergence of real quantum computing technology, the quest to establish strong and secure post-quantum cryptographic (PQC) standards will only grow more urgent. These security standards protect data and communications against the groundbreaking capabilities of quantum computers that threaten to break many of today’s ubiquitous cryptographic systems. But there’s a major practical gap in PQC standards so they can work with current cryptographic infrastructure. In this paper we present the notion of Crypto-Interoperability Resilience (CIR), which is defined as that a cryptographic system possesses the ability to use post-quantum algorithms behind classical protected protocols in an interchangeable way and can transition from a classical secure mode to a quantum secure mode transparently while remaining secure. Integrating post-quantum (PQ) cryptographic algorithms into existing systems are difficult and comes with compatibility issues, performance limitations, and security concern from the insecure period while migrating, which this research addresses. We present holistic frameworks and methodologies for employing PQC standards in practice. These frameworks allow for stepwise adoption with no disruption of existing functionality and offers backward compatibility. We also create tools and protocols for improving CIR which efforts are performance-optimized and are designed to preserve security at a very high level as well.
AI-augmented cryptanalysis using combinatorics and reinforcement learning
Payal Garg, Aruna Verma, Sushama Tanwar, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2025
Data-driven, transparent synthesis of lattice-based cryptosystems with hybrid security verification
Shalini Pathak, Basu Kalyanwat, Ashish Kumar, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2025
Explainable machine learning frameworks for cryptography protocol design using discrete structures
Mayank Namdev, Katib Showkat, Susheela Vishnoi, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2025
An efficient image steganography using spider monkey optimization
Hemlata Goyal, Sunita Singhal, Manya Khater, Adyasha Mahanta, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2025
Lightweight HECC-DWT-based secure image encryption with integrity verification and access control
Anshika Malsaria, Vijay Kumar Sharma, Pankaj Dadheech, Praveen Kumar Yadav, Sanwta Ram Dogiwal, Bhanu Pratap Soni
Journal of Discrete Mathematical Sciences and Cryptography, 2025
Graph-theoretic and geometric methods for social network influence analysis
Neha Janu, Payal Garg, Komal Mehta Bhagat, Blessy Thankachan, Susheela Vishnoi, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2025
Comparison of cloud and edge computing based face recognition for security enhancement
Rekha Chaturvedi, Puja Gupta, Ramesh Chand Pandey, Neeraj Kumar Rathore, Abhay Sharma, Pankaj Dadheech, Rahul Sharma
Journal of Discrete Mathematical Sciences and Cryptography, 2025
An enterprise blockchain model: A reliable cryptography-based cyber-physical systems for securing user data
V. Ramachandran, Hayder M. A. Ghanimi, Bhaskar Marapelli, Navleen Kaur, M. Rajya Laxmi, Ravi Kumar Bommisetti, Sudhakar Sengan, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2025
The secured authentication system: Integrated cyber security end-toend based cyber-physical systems for improved DevOps resilience with authentication
Vishnu Priya Arivanantham, Hayder M. A. Ghanimi, Vijaya Krishna Sonthi, Firas Tayseer Ayasrah, Reena Mahapatra Lenka, P. Hemalatha, Sudhakar Sengan, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2025
A cyber-physical system with blockchain integrated chaotic secure hash algorithms-256 for secured supply chain management system
K. R. Praneeth, Hayder M. A. Ghanimi, M. Srinivasa Narayana, Sireesha Nanduri, Ravi Kumar Bommisetti, Sudhakar Sengan, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2025
Cyber security with blockchain-based cyber-physical system for key generation in medi-cloud computer systems
Vishnu Priya Arivanantham, Hayder M. A. Ghanimi, Sagar Ramesh Rane, V. Jasmine Sowmya, Kamal Poon, N. Mythili, Sudhakar Sengan, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2025
Blockchain-based cybersecurity: A predictive privacy and security of cyber-physical systems
N. Keerthana, Hayder M. A. Ghanimi, P. V. V. S. Srinivas, Naveen Reddy Pendli, Firas Tayseer Ayasrah, M. Anto Bennet, Sudhakar Sengan, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2025
Brain-computer interface applications in customer experience: Secure data management
Shailendra Kumar Rai, Prathwini, Dilora Abdurakhimova, Hameed Hassan Khalaf, Israa Abed Jawad, Pankaj Dadheech
Brain Computer Interfaces and Applications in Business, 2025
Brain-computer interface-controlled smartphones for streamlined organizational data management
B. T. Geetha, S. P. Tripathi, Chhavi Rani Saxena, Kuldeep Chouhan, Navruzbek Shavkatov, Pankaj Dadheech
Brain Computer Interfaces and Applications in Business, 2025
Quantum Cryptography for Biomedical Image Security in Next-Generation Telemedicine Networks
L. B. Muralidhar, H. R. Swapna, N. Sathyanarayana, K. Nethravathi, Varanasi Rahul, Digvijay Pandey, Pankaj Dadheech
Advanced Secure Transmission of Telemedicine Based Bio Medical Images, 2025
Enhancing e-learning with brain-computer interface in education
Ankur Jain, Prithu Sarkar, Abhishika Sharma, Neelu Jain, Amit Verma, Pankaj Dadheech
Concepts and Applications of Brain Computer Interfaces, 2025
Differentially processed optimized collaborative rich text editor
Nishtha Jatana, Mansehej Singh, Charu Gupta, Geetika Dhand, Shaily Malik, et al.
Multimedia Tools and Applications, 2025
Mathematics driven methods with fractional calculus and topological data analysis in image segmentation
Tarun Jain, Aditya Joshi, Arul Keswani, Ajay Kumar, Pankaj Dadheech
Journal of Interdisciplinary Mathematics, 2025
Graph theory based mathematical methods for improved explainable AI
Ansh Vashist, Aditya Joshi, Sanjay Tiwari, Rakesh Sharma, Tarun Jain, Pankaj Dadheech
Journal of Interdisciplinary Mathematics, 2025
Wireless sensor networks with modular metric spaces
Swapna Siddamsetti, Mustafa Moosa Qasim, Narne Sravanthi, K. Dinesh, V. Velmurugan, Sudhakar Sengan, Pankaj Dadheech
Journal of Interdisciplinary Mathematics, 2025
Fractal image compression using digital cone metric space
T. Gopalakrishnan, Hussein Z. Almngoshi, Vijaya Kumar Koppula, K. Dinesh, Vijaya Krishna Sonthi, Sudhakar Sengan, Pankaj Dadheech
Journal of Interdisciplinary Mathematics, 2025
Convergence of 6G, Blockchain, and Intelligent Transportation Systems: Pioneering Next-Generation Traffic Management at Intersections
Rakhi Mutha, Pankaj Dadheech
Intersection of 6g AI Machine Learning and Embedded Systems Pioneering Intelligent Wireless Technologies, 2025
Advancements and Applications of AI and ML Techniques in Breast Cancer Prognosis: A Comprehensive Survey
Anurag Jagetiya, Pankaj Dadheech
Smart Innovation Systems and Technologies, 2025
LOC-MAC-HASH: A Novel Approach to Generate Environmental Tokens for IT System Security
Nitesh Kumar Jangid, Pankaj Dadheech, Mukesh Kumar Gupta
Lecture Notes in Networks and Systems, 2025
Dynamic Feature-Based Detection of Malware in Non-Executable Files Using a 1D Convolutional Neural Network
Amit Kumar Singh
Panamerican Mathematical Journal, 2025
Harris Hawks-Optimized Audio, Structural, and Video Feature Fusion for Multimodal Video Classification Using LSTM-RF Framework
International Journal of Intelligent Engineering and Systems, 2025
Breaking Neural Networks Through Algebraic Lens: A Preliminary Analysis of Mathematical Vulnerabilities in AI Architectures
Sandeep Gupta, Budesh Kanwer, Pankaj Dadheech, Sumit Srivastava
IEEE Access, 2025
Face Identification based on different Convolutional Neural Network Models for Security System: A Review
Reena Sharma
Panamerican Mathematical Journal, 2025
Matching Filter and Quantum Sensors: Study Dark Matter Transients for Computation
Digvijay Pandey, S. K. Sahani, Binay Kumar Pandey, K. Sahani, Pankaj Dadheech, A. Shaji George
Computational Intelligence Solutions for Real Life Problems, 2025
Computational Intelligence in Technopreneurial Skills Development in TVET Institutions
Edidiong Isonguyo Silas, Williams Kennedy George, Samuel Amos Ikpe, Rosemary Collins Piate, Digvijay Pandey, Binay Kumar Pandey, Pankaj Dadheech
Computational Intelligence Solutions for Real Life Problems, 2025
The Quantum Leap: Integrating Quantum Computing With AI for Next-Gen Automotive Safety
H H R Swapna, L. B. Muralidhar, N. Sathyanarayana, K. Nethravathi, Digvijay Pandey, A. Shaji George, Pankaj Dadheech
AI S Role in Enhanced Automotive Safety, 2025
Enhancing cryptographic robustness through error-correcting codes derived from network graphs
Gayathri Ananthakrishnan, Hayder M. A. Ghanimi, P. Pushpa, T. K. Rama Krishna Rao, M. Vedaraj, Sudhakar Sengan, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2024
Commerce in the 6G era: Adapting business strategies to security imperatives
Ashutosh Singh, K. Sankara Moorthy, Kavitha Rani Thipparaju, S. Bathrinath, Sanjeev Kumar Singh, Gourav Kalra, Pankaj Dadheech Dadheech
6g Security Education and Multidisciplinary Implementation, 2024
E-commerce resilience strategies for mitigating 6G security threats
S. Sureshkumar, R. Thamilselvan, K. Usha Rani, Vellayan Srinivasan, A. N. Arularasan, B. Yuvasri, Pankaj Dadheech Dadheech
6g Security Education and Multidisciplinary Implementation, 2024
A recent survey on 6G vehicular technology: Applications and challenges
Binay Kumar Pandey, Mukundan Appadurai Paramashivan, Digvijay Pandey, A.Shaji George, Ashi Agarwal, Pankaj Dadheech, Darshan A. Mahajan
6g Security Education and Multidisciplinary Implementation, 2024
An open-source MP + CNN + BiLSTM model-based hybrid model for recognizing sign language on smartphones
Hayder M. A. Ghanimi, Sudhakar Sengan, Vijaya Bhaskar Sadu, Parvinder Kaur, Manju Kaushik, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani, Pankaj Dadheech
International Journal of System Assurance Engineering and Management, 2024
Blockchain's potential effect on the healthcare industry
Binay Kumar Pandey, Mukundan Appadurai Paramashivan, Vinay Kumar Nassa, Darshan A. Mahajan, Pankaj Dadheech, A. S. Hovan George, A. Shaji George
Emerging Engineering Technologies and Industrial Applications, 2024
Optimized throughput-based broadcasting for next generation wireless networks
Digvijay Pandey, Binay Kumar Pandey, Vinay Kumar Nassa, Darshan A. Mahajan, A. Shaji George, Pankaj Dadheech
Emerging Engineering Technologies and Industrial Applications, 2024
Artificial intelligence and machine learning and its application in the field of computational visual analysis
Digvijay Pandey, Vinay Kumar Nassa, Binay Kumar Pandey, Blessy Thankachan, Pankaj Dadheech, Darshan A Mahajan, A. Shaji George
Emerging Engineering Technologies and Industrial Applications, 2024
Deployment of load balancing in cloud computing: Industrial application and benefits
Binay Kumar Pandey, A. P. Mukundan, Vinay Kumar Nassa, Digvijay Pandey, A. Shaji George, A. Shahul Hameed, Pankaj Dadheech
Emerging Engineering Technologies and Industrial Applications, 2024
An industry-focused traffic system utilising internet of things
Binay Kumar Pandey, Vinay Kumar Nassa, A. P. Mukundan, Darshan A. Mahajan, Digvijay Pandey, A. Shaji George, Pankaj Dadheech
Emerging Engineering Technologies and Industrial Applications, 2024
Advanced digital data processing using cloud cryptography: Industrial Applications
Digvijay Pandey, Binay Kumar Pandey, Mukundan Appadurai Paramashivan, Darshan A. Mahajan, Pankaj Dadheech Dadheech, A. Shaji George, A. Shahul Hameed
Emerging Engineering Technologies and Industrial Applications, 2024
An analysis of internet-of-things-based fire detection and alert systems
Digvijay Pandey, Vinay Kumar Nassa, Binay Kumar Pandey, Darshan A. Mahajan, Pawan Kumar Patidar, Pankaj Dadheech, A. Shaji George
Emerging Engineering Technologies and Industrial Applications, 2024
An analysis of algorithms and methods based on image processing for medical applications
Aakifa Shahul, Balakumar Muniandi, Mukundan Appadurai Paramashivan, Digvijay Pandey, Binay Kumar Pandey, Pankaj Dadheech, Hovan George
Emerging Engineering Technologies and Industrial Applications, 2024
Building information modeling: Harnessing innovations for professional proficiency
George W. Kennedy, Sam Edidiong Sunday, Digvijay Pandey, Awi Dennis Kabari, Binay Kumar Pandey, A. Shaji George, Pankaj Dadheech
Emerging Engineering Technologies and Industrial Applications, 2024
Enhanced Route navigation control system for turtlebot using human-assisted mobility and 3-D SLAM optimization
Ankit Kumar, Kamred Udham Singh, Pankaj Dadheech, Aditi Sharma, Ahmed I. Alutaibi, Ahed Abugabah, Arwa Mohsen Alawajy
Heliyon, 2024
Exploring elliptic geometry in neural networks: The concept of elliptic neural networks (ENN)
Vivek Kumar Verma, Bhavna Saini, Anju Yadav, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2024
Quantum graph theoretic encryption and dynamic key evolution in secure quantum communication networks
Vivek Kumar Verma, Bhavna Saini, Tarun Jain, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2024
Entropic uncertainty in quantum-state cryptography: A mathematical framework for quantum-resilient encryption
Vivek Kumar Verma, Bhavna Saini, Tarun Jain, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2024
Quantitative fusion of NLP, fMRI, and EEG data : A mathematical model for decoding semantic processing in the brain
Vivek Kumar Verma, Gottumukkala K. Chaitanya Varma, Ch. Karthikeya Varma, Anita Shrotriya, Pankaj Dadheech
Journal of Interdisciplinary Mathematics, 2024
Mathematical exploration of consciousness through topological data analysis for decoding neurobiological states
Tarun Jain, Ashish Kumar, Vivek Kumar Verma, Pankaj Dadheech, Sanwta Ram Dogiwal
Journal of Interdisciplinary Mathematics, 2024
The fusion of quantum chaos and nonlinear dynamics in securing image encryption
Vivek Kumar Verma, Mudunuri Venkata Chaitanya Varma, Arjun Jala, Rohit Kumar Gupta, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2024
Security and privacy concerns in social networks mathematically modified metaheuristic-based approach
Raguru Jaya Krishna, T. Gopalakrishnan, M. Divyapushpalakshmi, K. Amarendra, Pankaj Dadheech, Sudhakar Sengan
Journal of Discrete Mathematical Sciences and Cryptography, 2024
Merkle-Damgård hash functions and blockchains: Securing electronic health records
Hayder M. A. Ghanimi, Romel P. Melgarejo-Bolivar, Alfredo Tumi-Figueroa, Samrat Ray, Pankaj Dadheech, Sudhakar Sengan
Journal of Discrete Mathematical Sciences and Cryptography, 2024
Utilizing stochastic differential equations and random forest for precision forecasting in stock market dynamics
P. Vidya Sagar, M. Rajyalaxmi, A.V.V.S. Subbalakshmi, Sudhakar Sengan, Ravi Kumar Bommisetti, Pankaj Dadheech
Journal of Interdisciplinary Mathematics, 2024
Secure multi-party computation in deep learning: Enhancing privacy in distributed neural networks
P. Vidya Sagar, Hayder M. A. Ghanimi, L. Arokia Jesu Prabhu, L. Raja, Pankaj Dadheech, Sudhakar Sengan
Journal of Discrete Mathematical Sciences and Cryptography, 2024
The role of artificial intelligence in supply chain management
Sanjeet Singh, Geetika Madaan, H. R. Swapna, Prabjot Kaur, Digvijay Pandey, Pankaj Dadheech
Utilization of AI Technology in Supply Chain Management, 2024
Enhanced security in federated learning by integrating homomorphic encryption for privacy-protected, collaborative model training
Ganga Rama Koteswara Rao, Hayder M. A. Ghanimi, V. Ramachandran, Dokhyl Al-Qahtani, Pankaj Dadheech, Sudhakar Sengan
Journal of Discrete Mathematical Sciences and Cryptography, 2024
Chebyshev polynomial approximation in CNN for zero-knowledge encrypted data analysis
Hayder M. A. Ghanimi, T. Gopalakrishnan, G. Joel Sunny Deol, K. Amarendra, Pankaj Dadheech, Sudhakar Sengan
Journal of Discrete Mathematical Sciences and Cryptography, 2024
Utilizing machine learning in legal management to enhance supply chain
Binay Kumar Pandey, Asif Iqubal Shah, Rajdip Bhadra Chaudhuri, Pankaj Dadheech, Blessy Thankachan, Dharmesh Dhabliya, A. Shaji George
Utilization of AI Technology in Supply Chain Management, 2024
New insights into strategic consumer behavior from the field of operations management
H. R. Swapna, Emmanuel Bigirimana, R. Geetha, Mukundan Appadurai Paramashivan, A. Shaji George, Pankaj Dadheech, Vikas Vyas
Utilization of AI Technology in Supply Chain Management, 2024
Modular metric spaces : Some fixed-point theorems and application of secure dynamic routing for WSN
Swapna Siddamsetti, Hussein Z. Almngoshi, K. Dinesh, G. C. Prashant, M. Anto Bennet, Pankaj Dadheech, Sudhakar Sengan
Journal of Interdisciplinary Mathematics, 2024
Navigating the transformative journey: AI's progression in business applications
H. R. Swapna, S. Geetanjali, K. V. N. Lakshmi, Mukundan Appadurai Paramashivan, M. S. Nikhil, Pankaj Dadheech, Vikas Vyas
Utilization of AI Technology in Supply Chain Management, 2024
Pattern analysis for feature extraction in complex images
Using Machine Learning to Detect Emotions and Predict Human Psychology, 2024
Real-world implementation of cloud computing new technologies
Dharmesh Dhabliya, Sukhvinder Singh Dari, Nitin N. Sakhare, Anish Kumar Dhablia, Digvijay Pandey, A. Shaji George, A. Shahul Hameed, Pankaj Dadheech
Emerging Trends in Cloud Computing Analytics Scalability and Service Models, 2024
New proposed policies and strategies for dynamic load balancing in cloud computing
Dharmesh Dhabliya, Sukhvinder Singh Dari, Nitin N. Sakhare, Anish Kumar Dhablia, Digvijay Pandey, Balakumar Muniandi, A. Shaji George, A. Shahul Hameed, Pankaj Dadheech
Emerging Trends in Cloud Computing Analytics Scalability and Service Models, 2024
Policies for advanced dynamic load balancing in cloud computing
Dharmesh Dhabliya, Sukhvinder Singh Dari, Nitin N. Sakhare, Anish Kumar Dhablia, Digvijay Pandey, A Shaji George, A. Shahul Hameed, Pankaj Dadheech
Innovations in Engineering and Food Science, 2024
Optimizing Breast Cancer Prognosis with Machine Learning for Enhanced Clinical Decision-Making
Anurag Jagetiya, Pankaj Dadhech
Bio Algorithms and Med Systems, 2024
A Study to Explore the Altered State of Consciousness Using Brain–Computer Interface (BCI)
Pradeep Kumar Sharma, Pankaj Dadheech, Mukesh Kumar Gupta
Lecture Notes in Networks and Systems, 2024
Overcoming Occlusion Challenges in Human Motion Detection through Advanced Deep Learning Techniques
International Journal of Intelligent Systems and Applications in Engineering, 2024
Cognitive equilibrium and instability: Lyapunov stability analysis in mental health research
Vivek Kumar Verma, Bhavna Saini, Tarun Jain, Pankaj Dadheech
Journal of Interdisciplinary Mathematics, 2024
Discrete mathematics for strengthening multivariate polynomial cryptography by addressing vulnerabilities
Ginika Mahajan, Sanjay Tiwari, Rakesh Sharma, Rohit Kumar Gupta, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2024
Virtual Reality in Tourism Industry within the Framework of Virtual Reality Markup Language
Basetty Mallikarjuna, Shiju Sebastian, Ramesh Chandra, Pankaj Dadheech, Madhvi Sharma
2024 IEEE 3rd World Conference on Applied Intelligence and Computing Aic 2024, 2024
Intelligent Framework for Detection of Telecom-Customer Churn Using Machine Learning Approach
Neha Janu, Pankaj Dadheech, Krishna Kant, Sagar Kavaiya, Nilay Vaidya, Kanubhai K. Patel
Lecture Notes in Networks and Systems, 2024
A Review of Dielectric Resonator Antennas (DRA)-Based RFID Technology for Industry 4.0
Manvinder Sharma, Rajneesh Talwar, Digvijay Pandey, Vinay Kumar Nassa, Binay Kumar Pandey, Pankaj Dadheech
Robotics and Automation in Industry 4 0 Smart Industries and Intelligent Technologies, 2024
Advancing viscoelastic material modeling : Tackling time-dependent behavior with fractional calculus
Shaymaa Hussein Nowfal, Ganga Rama Koteswara Rao, V. Velmurugan, Sudhakar Sengan, Ravi Kumar Bommisetti, Pankaj Dadheech
Journal of Interdisciplinary Mathematics, 2024
Feature Selection-based Machine Learning Comparative Analysis for Predicting Breast Cancer
Chour Singh Rajpoot, Gajanand Sharma, Praveen Gupta, Pankaj Dadheech, Umar Yahya, et al.
Applied Artificial Intelligence, 2024
Leveraging blockchain technology to combat deception, deepfake, and counterfeit system
T. Gopalakrishnan, Hayder M. A. Ghanimi, Tanweer Alam, K Sreekanth, K. E. Purushothaman, Sudhakar Sengan, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2024
Analysis of COVID-19 Datasets Using Statistical Modelling and Machine Learning Techniques to Predict the Disease
Senthil Kumar Nramban Kannan, Bhanu Prakash Kolla, Sudhakar Sengan, Rajendiran Muthusamy, Raja Manikandan, Kanubhai K. Patel, Pankaj Dadheech
SN Computer Science, 2024
Enhanced network security through algebraic cryptanalysis of elliptic curve cryptography
Madan Mohan Tito Ayyalasomayajula, Hayder M. A. Ghanimi, M. Manimaran, Vijaya Krishna Sonthi, Abrar Ahmed Katiyan, Sudhakar Sengan, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2024
Lucky edge geometric mean labeling of graphs and applications in electrical networks
P. Mariaraja, Hussein Z. Almngoshi, C. M. Hilda Jerlin, S. Muthuperumal, K. Amarendra, Sudhakar Sengan, Pankaj Dadheech
Journal of Discrete Mathematical Sciences and Cryptography, 2024
Enhancing Video Anomaly Detection Using Spatio-Temporal Autoencoders and Convolutional LSTM Networks
Ghayth Almahadin, Maheswari Subburaj, Mohammad Hiari, Saranya Sathasivam Singaram, Bhanu Prakash Kolla, Pankaj Dadheech, Amol D. Vibhute, Sudhakar Sengan
SN Computer Science, 2024
Modern-age Agriculture with Artificial Intelligence: A review emphasizing Crop Yield Prediction
Priyanka Sharma, Pankaj Dadheech
Evergreen, 2023
Optimized-ANN Approach for Enhanced Lung Cancer Diagnosis: A Machine Learning-Integrated Methodology
Balamanigandan R, Mahaveerakannan R, Pankaj Dadheech, Bhavani R, Dhanalakshmi R
ACM International Conference Proceeding Series, 2023
An Efficient Hybrid Approach for Intrusion Detection in Cyber Traffic Using Autoencoders
Kanak Giri, Mukesh Gupta, Pankaj Dadheech
SN Computer Science, 2023
Impact Analysis to Detect and Mitigate Distributed Denial of Service Attacks with Ryu-SDN Controller: A Comparative Analysis of Four Different Machine Learning Classification Algorithms
Honey Gocher, Swapnesh Taterh, Pankaj Dadheech
SN Computer Science, 2023
Optimizing student engagement in edge-based online learning with advanced analytics
Rasheed Abdulkader, Firas Tayseer Mohammad Ayasrah, Venkata Ramana Gupta Nallagattla, Kamal Kant Hiran, Pankaj Dadheech, Vivekanandam Balasubramaniam, Sudhakar Sengan
Array, 2023
Nanoparticle characterization and bioremediation: Prospects for ecological advantages
Jyoti Ahlawat, Digvijay Pandey, Ravish Chaudhary, Nidhi Verma, Binay Kumar Pandey, Shailesh Somnath Parkhe, Pankaj Dadheech
Sustainable Utilization of Nanoparticles and Nanofluids in Engineering Applications, 2023
Real-time pothole detection during rainy weather using dashboard cameras for driverless cars
Manvinder Sharma, Sudhakara Reddy Saripalli, Anuj Kumar Gupta, Rajneesh Talwar, Pankaj Dadheech, Uday Kumar Kanike
Handbook of Research on Thrust Technologies Effect on Image Processing, 2023
Comparison of the theoretical and statistical effects of the PCA and CNN image fusion approaches
Ashi Agarwal, Binay Kumar Pandey, Poonam Devi, Sunil Kumar, Mukundan Appadurai Paramashivan, Ritesh Agarwal, Pankaj Dadheech
Handbook of Research on Thrust Technologies Effect on Image Processing, 2023
Exudate detection in fundus images using deep learning algorithms
T. Shanthi, R. Anand, Binay Kumar Pandey, Vinay Kumar Nassa, Aakifa Shahul, A. S. Hovan George, Pankaj Dadheech
Handbook of Research on Thrust Technologies Effect on Image Processing, 2023
Review on different types of disturbing noise for degraded complex image
Binay Kumar Pandey, Poonam Devi, A. Shaji George, Vinay Kumar Nassa, Pankaj Dadheech, Blessy Thankachan, Pawan Kumar Patidar, Sanwta Ram Dogiwal
Handbook of Research on Thrust Technologies Effect on Image Processing, 2023
An empirical investigation on the influence of social networks on purchase decision making: An Indian perspective
K. S. Kalavathy, H. R. Swapna, Anitha Nallasivam, Digvijay Pandey, Darshan A. Mahajan, Pankaj Dadheech
Social Media and Online Consumer Decision Making in the Fashion Industry, 2023
An analytical analysis of the present-day procedures for disposing of waste
Binay Kumar Pandey, Vinay Kumar Nassa, Digvijay Pandey, A. Shaji George, Monika Gupta, Pankaj Dadheech, A. S. Hovan George
Handbook of Research on Safe Disposal Methods of Municipal Solid Wastes for A Sustainable Environment, 2023
Review on smart sewage cleaning UAV assistance for sustainable development
Binay Kumar Pandey, Digvijay Pandey, Pankaj Dadheech, Darshan A. Mahajan, A. Shaji George, A. Shahul Hameed
Handbook of Research on Safe Disposal Methods of Municipal Solid Wastes for A Sustainable Environment, 2023
Biofuels and health hazards: An overview
Swapan Banerjee, Soumen Ghosh, Gourav Dhar Bhowmick, Digvijay Pandey, Binay Kumar Pandey, Pankaj Dadheech
Handbook of Research on Safe Disposal Methods of Municipal Solid Wastes for A Sustainable Environment, 2023
The design of microstrip patch antenna for 2.4 GHz IoT based RFID and image identification for smart vehicle registry
Impact of Thrust Technologies on Image Processing, 2023
The impact of thrust technologies on image processing
Impact of Thrust Technologies on Image Processing, 2023
Applications for text extraction of complex degraded images
Impact of Thrust Technologies on Image Processing, 2023
A review of various text extraction algorithms for images
Impact of Thrust Technologies on Image Processing, 2023
Strategic survival analysis of gastric cancer patients for augmented reality: A comparison of the cox proportional hazard and accelerated failure time
Digvijay Pandey, Mesfin Esayas Lelisho, Jayasri Kotti, Gadee Gowwrii, Aakifa Shahul, A. S. Hovan George, Pankaj Dadheech
Applications of Neuromarketing in the Metaverse, 2023
Metaverse: The development of human culture in the future and cyberspace
Judith Flores-Albornoz, Edwin Hernan Asis, Edwin Asnate-Salazar Asnate-Salazar, Hugo Espinoza-Rodríguez, Norma Ramirez-Asis, Digvijay Pandey, Pankaj Dadheech
Applications of Neuromarketing in the Metaverse, 2023
Hybrid convolutional neural network (CNN) for Kennedy Space Center hyperspectral image
R. Anand, Bilal Khan, Vinay Kumar Nassa, Digvijay Pandey, Dharmesh Dhabliya, Binay Kumar Pandey, Pankaj Dadheech
Aerospace Systems, 2023
Soft Computing in Smart Grid with Decentralized Generation and Renewable Energy Storage System Planning
Rasheed Abdulkader, Hayder M. A. Ghanimi, Pankaj Dadheech, Meshal Alharbi, Walid El-Shafai, Mostafa M. Fouda, Moustafa H. Aly, Dhivya Swaminathan, Sudhakar Sengan
Energies, 2023
RETRACTED ARTICLE: Utilizing Index-Based Periodic High Utility Mining to Study Frequent Itemsets
Roy Setiawan, Dac-Nhuong Le, Regin Rajan, Thirukumaran Subramani, Dilip Kumar Sharma, Vidya Sagar Ponnam, Kailash Kumar, Syed Musthafa Akbar Batcha, Pankaj Dadheech, Sudhakar Sengan
Arabian Journal for Science and Engineering, 2023
RETRACTED ARTICLE: A Multi-Stakeholder Involved Effective E-Waste Management in Manufacturing Recycled Electronic Products Using Game Theory(Arabian Journal for Science and Engineering)
Sudhakar Sengan, Kanmani Palaniappan, Nirmala Devi Kathamuthu, Rashid Amin, Rajesh Babu Mariappan, Nik Alif Amri Nik Hashim, Eni Noreni Mohamad Zain, Pankaj Dadheech
Arabian Journal for Science and Engineering, 2023
AI-Enabled Crop Recommendation System Based on Soil and Weather Patterns
Priyanka Sharma, Pankaj Dadheech, A. V. Senthil Kumar Senthil
Artificial Intelligence Tools and Technologies for Smart Farming and Agriculture Practices, 2023
Advances in Secure, Smart and Intelligent Technology based systems
Dinesh Goyal
Journal of Discrete Mathematical Sciences and Cryptography, 2023
Improved Multi-Path Routing for QoS on MANET
M. Vargheese, Surbhi Bhatia, Shakila Basheer, Pankaj Dadheech
Computer Systems Science and Engineering, 2023
Machine Learning Based Diagnosis for Diabetic Retinopathy for SKPD-PSC
M. P. Thiruvenkatasuresh, Surbhi Bhatia, Shakila Basheer, Pankaj Dadheech
Intelligent Automation and Soft Computing, 2023
Optimized Resource Allocation and Queue Management for Traffic Control in MANET
I. Ambika, Surbhi Bhatia, Shakila Basheer, Pankaj Dadheech
Computer Systems Science and Engineering, 2023
Predicting Agriculture Yields Based on Machine Learning Using Regression and Deep Learning
Priyanka Sharma, Pankaj Dadheech, Nagender Aneja, Sandhya Aneja
IEEE Access, 2023
Current Research Trends in Secure Computer Vision, IoT and Machine Learning
Dinesh Goyal
Journal of Discrete Mathematical Sciences and Cryptography, 2023
Biogeography-based Optimization of Artificial Neural Network (BBO-ANN) for Solar Radiation Forecasting
Ajay Kumar Bansal, Virendra Swaroop Sangtani, Pankaj Dadheech, Nagender Aneja, Umar Yahya
Applied Artificial Intelligence, 2023
An Improved Multi-Objective Particle Swarm Optimization Routing on MANET
G. Rajeshkumar, M. Vinoth Kumar, K. Sailaja Kumar, Surbhi Bhatia, Arwa Mashat, Pankaj Dadheech
Computer Systems Science and Engineering, 2023
A hybrid approach for face recognition using LBP and multi level classifier
Mukesh Kumar Gupta, Pankaj Dadheech, Ankit Kumar, Ashok Kumar Saini, Neha Janu, Sanwta Ram Dogiwal
International Journal of Biometrics, 2023
Secret Data Transmission Using Advanced Morphological Component Analysis and Steganography
Binay Kumar Pandey, Digvijay Pandey, Ankur Gupta, Vinay Kumar Nassa, Pankaj Dadheech, A. Shaji George
Eai Springer Innovations in Communication and Computing, 2023
Effective Overview of Different ML Models Used for Prediction of COVID-19 Patients
Harinder Singh, Binay Kumar Pandey, Shaji George, Digvijay Pandey, Rohit Anand, Nidhi Sindhwani, Pankaj Dadheech
Lecture Notes in Computational Vision and Biomechanics, 2023
Performance optimisation of face recognition based on LBP with SVM and random forest classifier
Ashutosh Kumar, Gajanand Sharma, Rajneesh Pareek, Satyajeet Sharma, Pankaj Dadheech, Mukesh Kumar Gupta
International Journal of Biometrics, 2023
Performance Analysis of Eight-Channel WDM Optical Network with Different Optical Amplifiers for Industry 4.0
Anuj Kumar Gupta, Raju Sharma, Digvijay Pandey, Vinay Kumar Nassa, Binay Kumar Pandey, A. Shaji George, Pankaj Dadheech
Eai Springer Innovations in Communication and Computing, 2023
An enhanced whale optimization algorithm for clustering
Hakam Singh, Vipin Rai, Neeraj Kumar, Pankaj Dadheech, Ketan Kotecha, Ganeshsree Selvachandran, Ajith Abraham
Multimedia Tools and Applications, 2023
Pronunciation Scoring With Goodness of Pronunciation and Dynamic Time Warping
Kavita Sheoran, Arpit Bajgoti, Rishik Gupta, Nishtha Jatana, Geetika Dhand, et al.
IEEE Access, 2023
Classification and Localization of COVID-19 based on a Pneumonia Radiograph using a Deep Learning Approach
M. Anto Bennet, S. S. Saranya, Dinesh Goyal, Pankaj Dadheech, S. Balu, Sudhakar Sengan
ACM International Conference Proceeding Series, 2022
An Enhanced Trust-Based Kalman Filter Route Optimization Technique for Wireless Sensor Networks
Satheesh Narayanasami, Rajasekhar Butta, Rajeshkumar Govindaraj, Surendra Singh Choudhary, Dilip Kumar Sharma, Anjana Poonia, Sudhakar Sengan, Pankaj Dadheech, Neeraj Kumar Shukla, Rajesh Verma
Wireless Personal Communications, 2022
An Interdisciplinary Approach in the Post-COVID-19 Pandemic Era
An Interdisciplinary Approach in the Post Covid 19 Pandemic Era, 2022
The impact of digital transformation on story writing skills in the COVID Era
An Interdisciplinary Approach in the Post Covid 19 Pandemic Era, 2022
Evaluation of the SARS-COV-2 Omicron variant's features, prospective consequences, and upcoming prospects
An Interdisciplinary Approach in the Post Covid 19 Pandemic Era, 2022
An efficient modular framework for automatic LIONC classification of MedIMG using unified medical language
Surbhi Bhatia, M. Alojail, Sudhakar Sengan, Pankaj Dadheech
Frontiers in Public Health, 2022
Real-Time Survivor Detection System in SaR Missions Using Robots
Kaushlendra Sharma, R. Doriya, S. Pandey, Ankit Kumar, G. R. Sinha, Pankaj Dadheech
Drones, 2022
IoT-deep learning-based detection of cyber security threats
Ramesh Naidu P., Dankan Gowda V., Kumaraswamy S., Pankaj Dadheech, Ansuman Samal
Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks, 2022
Deep learning models for cyber security in IoT networks
Dankan Gowda V., Puneeth Kumar B. S., Shekhar R., Pankaj Dadheech, Thangadurai N.
Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks, 2022
Covid heuristic analysis using machine learning
Pravin R. Kshirsagar, Makarand Upadhyaya, Pankaj Dadheech, T. Yuvaraj, C. A. Sathiya Moorthy
Aip Conference Proceedings, 2022
Fatigue detection using artificial intelligence
Pravin R. Kshirsagar, Pankaj Dadheech, T. Yuvaraj, C. A. Sathiya Moorthy, Makarand Upadhyaya
Aip Conference Proceedings, 2022
Artificial intelligence based algorithm to support disable person
P. Vijayakumar, T. Yuvaraj, C. A. Sathiya Moorthy, Makarand Upadhyaya, Pankaj Dadheech, Pravin R. Kshirsagar
Aip Conference Proceedings, 2022
Network security using multi-layer neural network
P. Vijayakumar, C. A. Sathiya Moorthy, Makarand Upadhyaya, Pankaj Dadheech, T. Yuvaraj, Pravin R. Kshirsagar
Aip Conference Proceedings, 2022
Medical image transmission using novel crypto-compression scheme
Arwa Mashat, Surbhi Bhatia, Ankit Kumar, Pankaj Dadheech, Aliaa Alabdali
Intelligent Automation and Soft Computing, 2022
A WSN-Based Insect Monitoring and Pest Control System Through Behavior Analysis Using Artificial Neural Network
Pankaj Dadheech, Ankit Kumar, Vijander Singh, Ramesh C. Poonia, Linesh Raja
International Journal of Social Ecology and Sustainable Development, 2022
Software-Defined Networking-Based Ad hoc Networks Routing Protocols
G. Kirubasri, S. Sankar, Digvijay Pandey, Binay Kumar Pandey, Vinay Kumar Nassa, Pankaj Dadheech
Eai Springer Innovations in Communication and Computing, 2022
Design Features of Grocery Product Recognition Using Deep Learning
E. Gothai, Surbhi Bhatia, Aliaa M. Alabdali, Dilip Kumar Sharma, Bhavana Raj Kondamudi, Pankaj Dadheech
Intelligent Automation and Soft Computing, 2022
Improved Energy Based Multi-Sensor Object Detection in Wireless Sensor Networks
Thirumoorthy Palanisamy, Daniyal Alghazzawi, Surbhi Bhatia, Areej Abbas Malibari, Pankaj Dadheech, Sudhakar Sengan
Intelligent Automation and Soft Computing, 2022
Support Vector Machine Based Handwritten Hindi Character Recognition and Summarization
Sunil Dhankhar, Mukesh Kumar Gupta, Fida Hussain Memon, Surbhi Bhatia, Pankaj Dadheech, et al.
Computer Systems Science and Engineering, 2022
A Compressive Review on Internet of Things in Healthcare: Opportunity, Application and Challenges
Pankaj Dadheech, Sanwta Ram Dogiwal, Ankit Kumar, Linesh Raja, Neeraj Varshney, Neha Janu
Communications in Computer and Information Science, 2022
Preface
Meghann Agarwal, Julie Hollek, Dillon Niederhut
Communications in Computer and Information Science, 2022
Internet of Things Based Real-Time Monitoring System for Grid Data
Sanwta Ram Dogiwal, Pankaj Dadheech, Ankit Kumar, Linesh Raja, Mukesh Kumar Singh, Neha Janu
Communications in Computer and Information Science, 2022
Cloud security service for identifying unauthorized user behaviour
D. Stalin David, Mamoona Anam, Chandraprabha Kaliappan, S. Arun Mozhi Selvi, Dilip Kumar Sharma, Pankaj Dadheech, Sudhakar Sengan
Computers Materials and Continua, 2022
Analysis of Network Slicing for Management of 5G Networks Using Machine Learning Techniques
Randeep Singh, Abolfazl Mehbodniya, Julian L. Webber, Pankaj Dadheech, G. Pavithra, Mohammed S. Alzaidi, Reynah Akwafo
Wireless Communications and Mobile Computing, 2022
Distance matrix and markov chain based sensor localization in wsn
Omaima Bamasaq, Daniyal Alghazzawi, Surbhi Bhatia, Pankaj Dadheech, Farrukh Arslan, Sudhakar Sengan, Syed Hamid Hassan
Computers Materials and Continua, 2022
Enhanced detection of glaucoma on ensemble convolutional neural network for clinical informatics
D. Stalin David, S. Arun Mozhi Selvi, S. Sivaprakash, P. Vishnu Raja, Dilip Kumar Sharma, Pankaj Dadheech, Sudhakar Sengan
Computers Materials and Continua, 2022
Intelligent Wearable Devices Enabled Automatic Vehicle Detection and Tracking System with Video-Enabled UAV Networks Using Deep Convolutional Neural Network and IoT Surveillance
A. R JayaSudha, Pankaj Dadheech, K. Ramalingeswara Prasad, S. Hemalatha, Meghna Sharma, Sajjad Shaukat Jamal, Daniel Krah
Journal of Healthcare Engineering, 2022
Detection and localization for watermarking technique using LSB encryption for DICOM Image
Mukesh Kumar Gupta, Pankaj Dadheech, Ankit Kumar, Sanwta Ram Dogiwal, Ramesh Chandra Poonia, Linesh Raja, Devershi Pallavi Bhatt
Journal of Discrete Mathematical Sciences and Cryptography, 2022
Zika Virus Prediction Using AI-Driven Technology and Hybrid Optimization Algorithm in Healthcare
Pankaj Dadheech, Abolfazl Mehbodniya, Shivam Tiwari, Sarvesh Kumar, Pooja Singh, Sweta Gupta, Henry kwame Atiglah
Journal of Healthcare Engineering, 2022
A Liver Damage Prediction Using Partial Differential Segmentation with Improved Convolutional Neural Network
B. Sumathy, Pankaj Dadheech, Monika Jain, Ankur Saxena, S. Hemalatha, Wenqi Liu, Stephen Jeswinde Nuagah
Journal of Healthcare Engineering, 2022
Cyber-Internet Security Framework to Conquer Energy-Related Attacks on the Internet of Things with Machine Learning Techniques
Anand Kumar, Dharmesh Dhabliya, Pankaj Agarwal, Nagender Aneja, Pankaj Dadheech, et al.
Computational Intelligence and Neuroscience, 2022
Web-Based News Straining and Summarization Using Machine Learning Enabled Communication Techniques for Large-Scale 5G Networks
Amita Arora, Ashlesha Gupta, Manvi Siwach, Pankaj Dadheech, Krishnaveni Kommuri, Majid Altuwairiqi, Basant Tiwari
Wireless Communications and Mobile Computing, 2022
Analysis and design of fuzzy-based manoeuvring model for mid-vehicle collision avoidance system
Prabhakaran Narayanan, Sudhakar Sengan, Balasubramaniam Pudhupalayam Marimuthu, Ranjith Kumar Paulra, Cherry Bhargava, Pardeep Kumar Sharma, Kailash Kumar, Pankaj Dadheech
Journal of Ambient Intelligence and Humanized Computing, 2021
Securing data in transit using data-in-transit defender architecture for cloud communication
Keerthana Nandakumar, Viji Vinod, Syed Musthafa Akbar Batcha, Dilip Kumar Sharma, Mohanraj Elangovan, Anjana Poonia, Suresh Mudlappa Basavaraju, Sanwta Ram Dogiwal, Pankaj Dadheech, Sudhakar Sengan
Soft Computing, 2021
Black hole attack detection in vehicular ad-hoc network using secure AODV routing algorithm
Ankit Kumar, Vijayakumar Varadarajan, Abhishek Kumar, Pankaj Dadheech, Surendra Singh Choudhary, V.D. Ambeth Kumar, B.K. Panigrahi, Kalyana C. Veluvolu
Microprocessors and Microsystems, 2021
A Efficient Approach for Securing Images Using RSA and Arnold Technique Metamorphose
Kanak Giri, Pankaj Dadheech, Amit Kumar Gupta
Lecture Notes in Networks and Systems, 2021
A novel scheme for prevention and detection of black hole & gray hole attack in VANET network
Ankit Kumar, Pankaj Dadheech, Dinesh Goyal, Pawan K. Patidar, S.R. Dogiwal, Neha Janu
Recent Patents on Engineering, 2021
Congestion Control in Cognitive IoT-Based WSN Network for Smart Agriculture
Daniyal Alghazzawi, Omaima Bamasaq, Surbhi Bhatia, Ankit Kumar, Pankaj Dadheech, Aiiad Albeshri
IEEE Access, 2021
Video Index Point Detection and Extraction Framework Using Custom YoloV4 Darknet Object Detection Model
Mehul Mahrishi, Sudha Morwal, Abdul Wahab Muzaffar, Surbhi Bhatia, Pankaj Dadheech, Mohammad Khalid Imam Rahmani
IEEE Access, 2021
Novel hybrid artificial intelligence-based algorithm to determine the effects of air pollution on human electroencephalogram signals
Journal of Environmental Protection and Ecology, 2021
Flow-based anomaly intrusion detection using machine learning model with software defined networking for OpenFlow network
N. Satheesh, M.V. Rathnamma, G. Rajeshkumar, P. Vidya Sagar, Pankaj Dadheech, S.R. Dogiwal, Priya Velayutham, Sudhakar Sengan
Microprocessors and Microsystems, 2020
A neural network-based approach for pest detection and control in modern agriculture using internet of things
Pankaj Dadheech, Ankit Kumar, Vijander Singh, Linesh Raja, Ramesh C. Poonia
Smart Agricultural Services Using Deep Learning Big Data and Iot, 2020
Efficient churn prediction system with ML-IOT
International Journal of Advanced Science and Technology, 2020
Energy Conservation in WSN: A Review of Current Techniques
Ankit Kumar, Pankaj Dadheech, Utpaladitya Chaudhary
Proceedings of 3rd International Conference on Emerging Technologies in Computer Engineering Machine Learning and Internet of Things Icetce 2020, 2020
A Brief Survey of Deep Learning Techniques for Person Re-identification
Neha Mathur, Shruti Mathur, Divya Mathur, Pankaj Dadheech
Proceedings of 3rd International Conference on Emerging Technologies in Computer Engineering Machine Learning and Internet of Things Icetce 2020, 2020
A hybrid cluster technique for improving the efficiency of colour image segmentation
Ankit Kumar, Linesh Raja, Pankaj Dadheech, Manish Bhardwaj
World Review of Entrepreneurship Management and Sustainable Development, 2020
Withdrawal Notice: Design and Analysis of Optimization and Tuning in Data Warehouses Using Bitmap Indexes
Pankaj Dadheech, Dinesh Goyal, Ankit Kumar, Amit Kumar Gupta
Recent Advances in Computer Science and Communications, 2020
Performance modeling for secure migration processes of legacy systems to the cloud computing
Ankit Kumar, Pankaj Dadheech, Vijander Singh, Linesh Raja
Data Deduplication Approaches Concepts Strategies and Challenges, 2020
An optimal framework for spatial query optimization using hadoop in big data analytics
Pankaj Dadheech, Dinesh Goyal, Sumit Srivastava, Ankit Kumar
Recent Advances in Computer Science and Communications, 2020
An enhanced quantum key distribution protocol for security authentication
Ankit Kumar, Pankaj Dadheech, Vijander Singh, Linesh Raja, Ramesh C. Poonia
Journal of Discrete Mathematical Sciences and Cryptography, 2019
An improved quantum key distribution protocol for verification
Ankit Kumar, Pankaj Dadheech, Vijander Singh, Ramesh C. Poonia, Linesh Raja
Journal of Discrete Mathematical Sciences and Cryptography, 2019
A scalable data processing using hadoop & mapreduce for big data
Journal of Advanced Research in Dynamical and Control Systems, 2018
The K-means Clustering Based Fuzzy Edge Detection Technique on MRI Images
Neha Mathur, Pankaj Dadheech, Mukesh Kumar Gupta
Proceedings 2015 5th International Conference on Advances in Computing and Communications Icacc 2015, 2016

Dr. Pankaj Dadheech

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