Dr. Shashi Kant Gupta

Scopus Publications

A hybrid federated learning framework with generative AI for privacy-preserving and sustainable security in IOT-enabled smart environments
Venkadeshan Ramalingam, Basant Kumar, Shashi Kant Gupta, Deema Mohammed Alsekait, Diaa Salama AbdElminaam
Scientific Reports, 2026
The dramatic increase in IoT devices in a smart ecosystem like smart cities, transportation systems, and healthcare and industrial automation has greatly improved network connectivity and data-driven informed decisions. But this extraordinary level of connectivity generates important concerns associated with sensitive information and security risks. Therefore, this study proposes a novel framework for secure and sustainable IoT network and devices through a combination of a Hybrid Federated Learning Framework and GenAI. The proposed framework focuses on extending a secure learning platform for all different IoT devices through a Federated Learning Framework and utilizing GenAI capabilities for advanced information augmentation and customized anomaly detection. To improve the level of guaranteed privacy, this framework will utilize differential privacy techniques and a blockchain-assisted model validation process. Moreover, techniques for energy-efficient model optimization and edge intelligence in making decisions are considered to improve sustainability. The proposed work will examine and develop this novel hybrid model through intensive simulations and lab-based testing for its application in a building and energy management field. The impact will include a new federative generative architecture that offers enhanced cyber threat resilience, lower overhead costs of communication, and ensures user confidentiality of data. The end goal of this proposed project is to contribute positively towards advancing the state-of-the-art in sustainable AI for a secure and environment-conscious IoT.
Enhancing tumor deepfake detection in MRI scans using adversarial feature fusion ensembles
Aleem Ali, H. Anwar Basha, K. Thanuja, Puneet, Shashi Kant Gupta, SeongKi Kim
Scientific Reports, 2026
The proliferation of AI-generated medical deepfakes, such as tumor insertions or removals in diagnostic scans, threatens patient safety and healthcare integrity. Existing detection methods often lack robustness against adversarial attacks or fail to integrate multimodal feature representations. To address these gaps, we propose AFFETDS (Adversarial Feature Fusion Enhanced Tumor Detection System), a novel ensemble framework combining adversarial training, feature fusion, and weighted voting. AFFETDS leverages adversarial attack methods (PGD, FGSM) to harden the model, fuses high-level ResNet50 features with handcrafted HOG descriptors, and employs an SVM-based ensemble classifier. Evaluated on a curated dataset of 1378 MRI scans (774 real, 604 manipulated) from TCIA and ADNI repositories, AFFETDS achieves state-of-the-art performance with 91.5% accuracy, 90.7% precision, and 91.2% recall, outperforming baseline models (SVM: 86.2%, CNN: 88.4%). The framework’s ROC-AUC (0.80) and calibrated confidence scores demonstrate superior generalization across diverse imaging conditions. The ability of combining the adversarial techniques with multimodal feature fusion, our proposed AFFETDS framework improves the detection of subtle tumor manipulations, presenting an important safeguard to maintain the authenticity of medical images. The findings of research work underscore the urgent need of proactive defenses against growing deepfake threats in healthcare applications.
Artificial intelligence driven approach for securing backup data and enhancing cyber resilience in sustainable smart infrastructure
Basant Kumar, Shashi Kant Gupta, Rashmi Dwivedi, Deema Mohammed Alsekai, Diaa Salama AbdElminaam, Ozlem Kilickaya
Scientific Reports, 2026
A crucial factor for smart cities, which are more vulnerable to cyber threats, is Cyber Resilience (CR). Nevertheless, the conventional frameworks didn't concentrate on assuring the Backup Data (BD) integrity before restoration, showing less resilience. Therefore, this article implements an AI-powered BD integrity verification approach for CR in smart infrastructure using Murmur Polytopes Hash (MPH). Initially, the nodes are initialized in the smart city, followed by node clustering, data security, and storage (cloud server and Interplanetary File System (IPFS) (backup)). Now, the hash code is generated and updated in the Merkle tree. Besides, to perform data collection, pre-processing, clustering, correlation heatmap generation, feature extraction, and attack classification, the proposed ransomware attack detection module is designed. If the data is attacked, then the BD verification is done using MPH. Then, the BD is restored. If the data is normal, then the data is downloaded from the cloud server. Thus, the proposed work had a high security level and accuracy of 98.45% and 98.65%, respectively, showing better resilience.
Multi-modal AI-Enabled UAV Network for Fog Dispersal and Runway-Visibility Enhancement at an International Airport
Saifullah Khalid, Shashi Kant Gupta, Midhun Chakkaravarthy, D. K. Nishad, Dharmendra Prakash, Alkesh Agrawal
International Journal of Computational Intelligence Systems, 2026
Fog-related flight disruption is costing big international airports more than Rs 2.5 crores for each such event, while the traditional countermeasures, chemical seeding and thermal heating, are expensive, slow and environmentally damaging. This paper proposes the first field-validated airport fog dispersal autonomous UAV system that combines deep reinforcement learning with targeted UV-C photolysis technology. Conventional ways of fog dispersal take 30–45 min for runway clearance, cost Rs 15,000 per operation and produce 500 kg of CO2 emissions. These strategies evaporate fog droplets without tackling the condensation nuclei that are causing them and so the fog can quickly reform. We use a 4-UAV swarm with UV-C LED arrays (254 nm wavelength) for the degradation of hygroscopic aerosols which act as cloud condensation nuclei (CCN). Unlike thermal approaches that only evaporate droplets, our photolysis-based approach can reduce the efficiency of CCN by 35–45% so that the fog does not re-form. A deep Q-Network (DQN), based on 625-256-256-8 architecture, autonomously coordinates swarm positioning based on real-time sensor fusion from LiDAR (25 × 25 m resolution), thermal imaging (640 × 480 at 30fps) and meteorological arrays. 96% accuracy of fog detection. Our operational flights took place at Sri Guru Ram Dass Jee International Airport Amritsar, India, with 120 flights starting from November 2024 till March 2025. Results show: 83.1% reduction in time of fog clearance (from 30 to 5.06 min), 80% improvement of runway visibility range (from 450 to 810 m), 95% reduction in cost (from Rs 800 to Rs 15000 per sortie), 96% reduction in CO2 emission (from 20 to 500 kg per operation).Randomized complete block design using Friedman analysis (kh2 = 128.45, p < 0.001, Cohen’s d effect sizes of 4.85–7.92 show very large practical significance for all of the metrics. Zero incidents during 120 flights with ground exposure from UV-C (0.008 mJ/cm 2 ) 375x below ICNIRP occupational limits. Real-time DQN inference latency (183+-27ms) is the aviation safety-critical requirement (< 250ms). This research sets up a scalable paradigm for fog management at fog-prone airports anywhere in the world economically and environmentally and the potential savings is Rs. 2.5 Crores every year at major international airports.
AI based decision-making system for tooling design of aircraft product assembly with developed knowledge retrieval algorithm
Md Helal Miah, Shashi Kant Gupta, Lu Yali, Deema Mohammed Alsekait, Sharf Alzu’bi, Ayman Nabil, Habibur Rahman Chowdhury, Mamunnaher Kanon
Scientific Reports, 2026
This research develops a decision-making system for aircraft wing-spar tooling design that employs ontology-based Knowledge Retrieval Practices (KRP) to reduce search effort, improve traceability, and deliver decision-ready guidance. This research formalized a domain ontology, encode rule-based constraints, and structure case libraries, then introduce a query-information model that maps natural-language questions to machine-interpretable intents. The system orchestrates three retrieval modes, including ontology based semantic (OBS), rule-based inference (RBI), and case-based reasoning instances (CBRI), within a five-layer browser and server platform integrated with Product Development Management (PDM)/ Computer Aided Design (CAD). Evaluation spans twenty decision-like tasks, graded tooling corpora (100-420 documents), and a domain-agnostic stress test. The system achieved mean task-level accuracy of 93.1%, with the hybrid OBS+RBI+CBRI configuration reaching 96.9% confidence. Document-level accuracy was 98-99% on the tooling corpora, and the stress test showed small but consistent gains over traditional retrieval. OBS excelled for conceptual and attribute queries; RBI for computable dimensioning and sequencing; and CBRI for structural analogies and fine adjustments. Precision declined for legacy materials lacking ontology tags or using obsolete terminology, motivating retro-tagging and synonym expansion. Practically, it delivers a deployable KRP platform with role-based governance and enterprise interfaces, offering explainable, decision-ready guidance for complex assembly tasks. The study provides actionable guidance on when to use each retrieval strategy and establishes a reproducible evaluation protocol, laying the groundwork for longitudinal impact studies and public benchmarks in aerospace knowledge management. Limitations include the domain focus and reliance on curated corpora; these inform the roadmap for broader validation.
An Integrated Information Security Governance Model for Hyperconnected IoT Ecosystems; Unified Resilient Security Governance Model (URSGM)
Hamed Taherdoost, Chin-Shiuh Shieh, Shashi Kant Gupta
Computers, 2026
Hyperconnected IoT ecosystems have become crucial for organizational operations; yet, existing governance structures remain fragmented, are technology-centric, and not well-equipped to manage the risks, compliance pressures, and resilience needs of IoT. This paper presents an integrated, theory-based information security governance model that is tailored for IoT-driven organizations. A conceptual synthesis is performed through integrating five theoretical anchors: governance theory, socio-technical systems theory, risk governance theory, institutional/compliance theory, and resilience/adaptive capacity theory. These theoretical lenses are used to derive essential governance constructs and to develop a modular architecture tailored to IoT security needs. The model’s validity is grounded in theoretical integration rather than empirical testing, consistent with the nature of conceptual research. The integrated model provides six interdependent governance dimensions: strategic governance, operational governance, technical oversight, compliance alignment, risk governance, and resilience/adaptation, anchored by an ecosystem coordination layer. It provides structured decision rights, continuous risk monitoring, regulatory legitimacy, and native adaptive capabilities toward dynamic cyber-physical threats. This research addresses a known gap in the literature on IoT governance by providing an integrated, theoretically validated governance model that systematically connects the rationale and operational mechanisms of governance for resilient, future-proof IoT adoption. The model is further operationalized through a five-level maturity structure, enabling organizations to assess and progressively enhance governance capabilities.
AI-Optimized UAV Swarm System for Radiation Fog Dispersal and Runway Visibility Enhancement at Airport
Saifullah Khalid, Shashi Kant Gupta, Midhun Chakkaravarthy, Dharmendra Prakash, Alkesh Agrawal, D. K. Nishad
International Journal of Aeronautical and Space Sciences, 2026
AI-Enabled Virtual Nursing Assistants: Seq2Seq LSTM Neural Networks for Digital Healthcare
Suha Khalil Assayed, Chin-Shiuh Shieh, Shashi Kant Gupta
Breakthroughs in Smart Nursing with Generative AI, 2026
Background: The rapid growth of artificial intelligence (AI) is reshaping the quality of delivering the healthcare services, creating new opportunities to support patients beyond traditional clinical environments. Unfortunately, not all individuals can access medical services equally and efficiently. This research aims to develop a virtual nursing assistant by utilizing a neural network model to provide patients with immediate and effective answers to medical inquiries. Methods: In this study we adopted a generative artificial intelligence (AI) powered by neural network layers. The architecture starts with encoding the input of health enquiry into the embedding layer. We utilized the MedQud dataset from Kaggle website, it includes 47,457 medical question-answer pairs covering questions about treatment, diagnosis and side effects. Results: The proposed model performs well during the training phase. However, during the execution phase, the performance metric shows a higher precision score (40%) compared to the recall and F1-score. Conclusions: The healthcare industry can implement an affordable conversational assistant to help patients with medical inquiries by adopting a virtual nursing assistant that utilizes a sequence model with encoder-decoder architecture. In the future, the model will be enhanced to expand the dataset and incorporate a speech mechanism, enabling users to interact with the system through voice commands.
Early diagnosis of end-stage renal disease risk in type 2 diabetes mellitus using advanced analysis of clinical laboratory data
, Raafat M. Munshi, , Othman Y. Alyahyawy, , Lammar R. Munshi, , Shashi Kant Gupta, , and
International Journal of Advanced and Applied Sciences, 2026
End-stage renal disease (ESRD) is a serious complication of Type 2 Diabetes Mellitus (T2DM) and has a significant negative effect on patient health. Early and accurate detection is essential but difficult to achieve in clinical settings. This study introduces an Optimized Grey Wolf Convolutional Decision Tree (OGW-ConvDT) classifier to predict the risk of ESRD by combining advanced machine learning techniques with clinical laboratory data. The model uses Z-score standardization for data normalization, Principal Component Analysis (PCA) to reduce data dimensions, and the SelectKBest method for selecting the most important features. A Convolutional Neural Network (CNN) is used to extract spatial features, and a Decision Tree (DT), optimized using the Grey Wolf (GW) algorithm, performs the final classification. The proposed method was tested on a publicly available dataset from Kaggle and achieved strong performance: precision (0.996), F1-score (0.996), recall (0.997), accuracy (0.997), AUC (0.999), specificity (0.959), log loss (0.009), and AUC-PRC (0.824). These results show that the OGW-ConvDT model performs better than traditional methods and provides an effective and reliable tool for early ESRD risk detection in T2DM patients.
Blockchain, AI, and Green Cybersecurity: Exploring Synergies for a Sustainable Future
Basant Kumar, Rashmi Dwivedi, Sreemoy, Shashi Kant Gupta
Studies in Big Data, 2026
Integrating Evolutionary Computing for Enhanced Earthquake Risk Assessment
Sai Koushik Chituluri, Anumaan whig, Shashi Kant Gupta, Pavika Sharma, Pawan Whig
Lecture Notes in Networks and Systems, 2026
Volatility and Monthly Patterns in the Indian Stock Market: An Empirical Study of the Nifty 50
Shruti Sharma, Chandan Gupta, Rupa Khanna Malhotra, Amar Johari, Anu Sayal, Shashi Kant Gupta
International Conference on Innovative Practices in Technology and Management Iciptm 2026, 2026
Preface
Recent Trends in Data Analytics and Computing Exploring Emerging Technologies and Future Directions A Proceeding of Icadac 2025, 2026
Recent Trends in Data Analytics and Computing: Exploring Emerging Technologies and Future Directions, A proceeding of ICADAC – 2025
Pijush Dutta, Jyoti Sekhar Banerjee, Siddhartha Bhattacharyya, Debashis De, Panagiotis Sarigiannidis, Mohamed Lahby, Shashi Kant Gupta
Recent Trends in Data Analytics and Computing Exploring Emerging Technologies and Future Directions A Proceeding of Icadac 2025, 2026
Engineering intelligent healthcare systems: understanding medical queries with AI and NLP
Suha Khalil Assayed, Chin-Shiuh Shieh, Shashi Kant Gupta
Journal of Engineering and Applied Science, 2025
AI-driven drug discovery using a context-aware hybrid model to optimize drug-target interactions
Ajay Kumar, Shashi Kant Gupta, SeongKi Kim
Scientific Reports, 2025
City bike systems as an element of building social awareness - The use of resources in a sustainable city
Justyna Żywiołek, Radosław Wolniak, Wieslaw Wes Grebski, Shashi Kant Gupta
Cities, 2025
Precision diagnosis of citrus leaf diseases using image enhancement and nonlinear fuzzy ranking ensemble approach NLFuRBe
Bobbinpreet Kaur, Shashi Kant Gupta, Midhunchakkaravarthy Janarthan, Deema Mohammed Alsekait, Diaa Salama AbdElminaam
Scientific Reports, 2025
A secured remote patient monitoring framework for IoMT ecosystems
Pronaya Bhattacharya, Anwesha Mukherjee, Bharat Bhushan, Shashi Kant Gupta, Thippa Reddy Gadekallu, Zhu Zhu
Scientific Reports, 2025
Modelling of queuing systems using blockchain based on Markov process for smart healthcare systems
Shadab Siddiqui, Shahin Fatima, Aleem Ali, Shashi Kant Gupta, Hemant Kumar Singh, SeongKi Kim
Scientific Reports, 2025
Developing an intelligent model for accurate detection of cyber threats in smart logistics networks
, Mashael M. Khayyat, , Araek Tashkandi, , Amjad Qashlan, , Ghada A. Gashgari, , Manal M. Khayyat, , Shashi Kant Gupta, , and
International Journal of Advanced and Applied Sciences, 2025
Revolutionizing the way students learn photographic arts through experiential education using AI and AR systems
Shashi Kant Gupta, Ahmed Alemran, Umi Salma Basha, Atiaf Ibrahim Zakari, SeongKi Kim, Raja Sarath Kumar Boddu, Sunil Kumar Vohra
Scientific Reports, 2025
Advanced FET-Compatible Graphene-Silver-Gold Multilayered High-Sensitivity Biosensor for Rapid COVID-19 Detection with Behavior Prediction
P. Nagarajan, Shashi Kant Gupta, Sai Kiran Oruganti, U. Arun Kumar
Plasmonics, 2025
Soybean leaf disease detection and classification using deep learning approach
Ayenew Kassie Adimas, Mareye Zeleke Mekonen, Tsehay Admassu Assegie, Hemant Kumar Singh, Indu Mazumdar, Shashi Kant Gupta, Ayodeji Olalekan Salau, Ting Tin Tin
Bulletin of Electrical Engineering and Informatics, 2025
An Effective Opinion Mining-Based K-Nearest Neighbors Algorithm for Predicting Human Resource Demand in Business
Shashi Kant Gupta
Artificial Intelligence and Applications, 2025
AI-Based Intelligent System for Healthcare Application Using Edge-Based Neural Random Back Propagation Technique
Natesh Mahadev, Shankar R, Sowmya V L, Anitha Premkumar, Rajesh Natarajan, Thangarasu N, Shashi Kant Gupta
International Research Journal of Multidisciplinary Technovation, 2025
Deep learning driven brain tumor detection with CNN-based MRI analysis with better accuracy and precision
Ganesh Khekare, Anmol Tiwari, Vishal Singh, Vidhi Goyal, Shashi Kant Gupta
Integrating AI with Haptic Systems for Smarter Healthcare Solutions, 2025
AI-enabled sustainable innovations in education and business
AI Enabled Sustainable Innovations in Education and Business, 2025
Preface
Integrating AI and Sustainability in Technical and Vocational Education and Training Tvet, 2025
Integrating AI and sustainability in Technical and Vocational Education and Training (TVET)
Integrating AI and Sustainability in Technical and Vocational Education and Training Tvet, 2025
Preface
AI Enabled Sustainable Innovations in Education and Business, 2025
Demystifying issues and concerns of AI and allied technologies in digital education and learning: A scientific study
Prantosh Kumar Paul, Tatayya Bommali, Mustafa Kayyali, Sanjukta Chakraborty, Deep Debnath, Shashi Kant Gupta, Sushil Kumar Sharma
AI Enabled Sustainable Innovations in Education and Business, 2025
Smart education and sustainable learning environments in smart cities
Somani, Parin, Maurya, Nitu, Al Bataineh, Khaleel 1981-, Gupta, Shashi Kant, Sorayyaei Azar, Ali 1967-
Smart Education and Sustainable Learning Environments in Smart Cities, 2025
Preface
Smart Education and Sustainable Learning Environments in Smart Cities, 2025
Advanced LSTM neural networks for predicting hospital readmissions in diabetic patients
Ganesh Khekare, Priya Dasarwar, Ajay Kumar Phulre, Urvashi Khekare, Gaurav Kumar Ameta, Shashi Kant Gupta
Expert Artificial Neural Network Applications for Science and Engineering, 2025
Intelligent IoT healthcare applications powered by blockchain technology
Blockchain Enabled Internet of Things Applications in Healthcare Current Practices and Future Directions, 2025
Blockchain-powered IoT innovations in healthcare
Blockchain Enabled Internet of Things Applications in Healthcare Current Practices and Future Directions, 2025
Blockchain-powered monitoring of healthcare credentials through blockchain-based technology
Blockchain Enabled Internet of Things Applications in Healthcare Current Practices and Future Directions, 2025
Preface
Blockchain Enabled Internet of Things Applications in Healthcare Current Practices and Future Directions, 2025
Revolutionizing hen care in smart poultry farming: The impact of AI-driven sensors on optimizing avian health
Blockchain Enabled Internet of Things Applications in Healthcare Current Practices and Future Directions, 2025
Blockchain-enabled Internet of Things applications in healthcare: Current practices and future directions
Blockchain Enabled Internet of Things Applications in Healthcare Current Practices and Future Directions, 2025
Transformer-based Mobile Traffic Prediction in Internet of Vehicular Networks
Weiwei Jiang, Ziteng Wang, P. Thamilselvan, Shashi Gupta, Sushil Singh
Journal of Intelligent Decision Making and Information Science, 2025
Sustainable electronic waste management: processes, technologies, and impact
I.D. Soubache, Shipra Shivkumar Yadav, Shashi Kant Gupta
Sustainable Solutions for Environmental Pollution Urban Sustainability and Education for Waste Management, 2025
AI-Driven Environmental Problem Design for Sustainable Solutions
Rattan Sharma, Pawan Whig, Shashi Kant Gupta
Artificial Intelligence Driven Models for Environmental Management, 2025
Preface
Enhancing Smart Universities with Emotional Intelligence Competences for Digital Age Learning, 2025
Emerging technologies for the removal of organic and inorganic pollutants from industrial discharges
Shashi Kant Gupta, Anumaan Whig, Somnath Banerjee, Shipra Shivkumar Yadav
Developments in Environmental Science, 2025
Harnessing generative AI for enhanced brain tumor detection in clinical trials
MV Sujan Kumar, Ganesh Khekare, Shashi Kant Gupta, Sharnil Pandya
Generative AI Unleashed Advancements Transformative Applications and Future Frontiers, 2025
Application of AI for Natural Source Management
Pawan Whig, Rahul Reddy Nadikattu, Shashi Kant Gupta, Shrikaant Kulkarni
Artificial Intelligence Driven Models for Environmental Management, 2025
Artificial Intelligence for Air/Water Quality Prediction
Shashi Kant Gupta, Ashima Bhatnagar Bhatia, Vinay Aseri, Shrikaant Kulkarni
Artificial Intelligence Driven Models for Environmental Management, 2025
Enhancing Smart Universities with Emotional Intelligence: Competences for Digital Age Learning
Joanna Rosak-Szyrocka, Shashi Kant Gupta, Muhammad Shahbaz, Markus Launer
Enhancing Smart Universities with Emotional Intelligence Competences for Digital Age Learning, 2025
Digital Innovation and Sustainability in Education
Digital Innovation and Sustainability in Education, 2025
New models for sustainable circular growth
Shashi Kant Gupta, Hind Hammouch, Pawan Whig, Shipra Shivkumar Yadav
Developments in Environmental Science, 2025
Introduction to Digital Innovation and Sustainability in Education
Joanna Rosak-Szyrocka, Shashi Kant Gupta, Xin Zhao, Markus A. Launer
Digital Innovation and Sustainability in Education, 2025
The Internet of Things (IoTs) for Environmental Pollution
Nikhitha Yathiraju, Meghna Sharma, Sonia Duggal
Artificial Intelligence Driven Models for Environmental Management, 2025
IoT Security Architectures and Protocols
Manjushree Nayak, Priyanka Patro, Joseph Bamidele Awotunde, Shashi Kant Gupta
Security Paradigms in 6g Smart Cities and Iot Ecosystems Navigating the Future, 2025
Development of smart and automated solid waste management systems
Shipra Shivkumar Yadav, Shashi Kant Gupta, Manmohan Singh Yadav, Rohit Shinde
Sustainable Solutions for Environmental Pollution Urban Sustainability and Education for Waste Management, 2025
Treatment of industrial wastewater: a sustainable approach
Shrikaant Kulkarni, Nitin Grover, Pawan Whig, Shashi Kant Gupta
Sustainable Solutions for Environmental Pollution Urban Sustainability and Education for Waste Management, 2025
Application of AI in Environmental Sustainability
Pawan Whig, Shashi Kant Gupta, Rahul Reddy Nadikattu, Pavika Sharma
Artificial Intelligence Driven Models for Environmental Management, 2025
Preface
Digital Innovation and Sustainability in Education, 2025
Global environmental pollution: history, science, and solutions
Shashi Kant Gupta, Justyna Żywiołek, Susheel Kumar Singh, Pawan Whig
Sustainable Solutions for Environmental Pollution Urban Sustainability and Education for Waste Management, 2025
Strategies for Implementing Education 5.0
Mahesh Singh, Manoj Kumar Rao, Manoj B Pandey, Abdul Ahad, Shashi Kant Gupta
Digital Technologies for Sustainability and Quality Control, 2025
Blockchain in Industry 4.0 and Industry 5.0: A Paradigm Shift towards Decentralized Efficiency and Autonomous Ecosystems
Manjushree Nayak, Asish Panigrahi, Ashish Kumar Dass, Brojo Kishore Mishra, Shashi Kant Gupta
Computational Intelligence in Industry 4 0 and 5 0 Applications Trends Challenges and Applications, 2025
Circular economy, growth, supply chain, and advantage
Shashi Kant Gupta, Rattan Sharma, Pavika Sharma, Pawan Whig, Hind Hammouch
Developments in Environmental Science, 2025
Integration of Deep Learning and Optimization Techniques for Enhanced Effciency and Decision-Making in Industry 4.0 and 5.0
Manjushree Nayak, Subhakanta Panda, Shashi Kant Gupta, Abidemi Emmanuel Adeniyi, Joseph Bamidele Awotunde
Computational Intelligence for Analysis of Trends in Industry 4 0 and 5 0, 2025
Efficient Data Visualization for Cybersecurity Using Multi-Objective Genetic Optimized Adaptive XGBoost
Shashi Kant Gupta, V. Suresh Kumar, Mohammad Israr, Justyna Żywiołek, Amena Mahmoud
Cyber Security Forensics and National Security, 2025
Mastering nature's extremes: Real‐time monitoring and sensor networks for flood and drought management
Advances in Hydrology Spatial Intelligence Climate Change and Sustainable Water Resource Management, 2025
Identification of Multi-class Attacks in IoT with LSTM
Yu-Xian Lee, Chin-Shiuh Shieh, Mong-Fong Horng, Thanh-Lam Nguyen, Ying-Chieh Chao, et al.
Smart Innovation Systems and Technologies, 2025
Smart Healthcare System The Convergence of Blockchain and 6G IoT Network
Aayushman Bhaba Padhy, Ch Sree Kumar, Sandipan Mallik, Manjushree Nayak, Joseph Bamidele Awotunde, Shashi Kant Gupta
Security Paradigms in 6g Smart Cities and Iot Ecosystems Navigating the Future, 2025
Decentralized and Intelligent Hybrid Cognitive Academic Systems: Blockchain and AI-Driven Approaches to Personalized Learning
Raunak Singh, Prikshat Kumar Angra, Shashi Kant Gupta, Pritpal Singh, Ashwani Kumar, Gagandeep Singh Cheema
2025 International Conference on Artificial Intelligence and Quantum Computation Based Sensor Application Icaiqsa 2025 Proceedings, 2025
Hybrid Machine Learning Models for Student-Centric Course Recommendations
Sumit Gupta, Prikshat Kumar Angra, Shashi Kant Gupta, Pritpal Singh, Ashwani Kumar, Neeraj Mathur
2025 International Conference on Artificial Intelligence and Quantum Computation Based Sensor Application Icaiqsa 2025 Proceedings, 2025
Innovative waste treatment technologies
Shipra Shivkumar Yadav, Manmohan Singh Yadav, Shashi Kant Gupta, Pawan Whig, Alpna Sharma, Stalin Chittineni
Sustainable Solutions for Environmental Pollution Urban Sustainability and Education for Waste Management, 2025
Web Security in the Digital Age: Artificial Intelligence Solution for Malicious Website Classification
Sujatha Krishna, Rajesh Natarajan, Francesco Flammini, Badria Sulaiman Alfurhood, V. Janhavi, Shashi Kant Gupta
International Journal on Semantic Web and Information Systems, 2025
AIoT Innovations in Digital Health: Emerging Trends, Challenges, and Solutions
Inam Ullah Khan, Salma El Hajjami, Shashi Kant Gupta, Hameedur Rahman, Thiagarajan Yogamoorthi, Inam Ullah, Muhammad Adnan Khan
Aiot Innovations in Digital Health Emerging Trends Challenges and Solutions, 2025
Evaluation of energy consumption data for business consumers
Anchal Pathak, A. Deivasree Anbu, Azlin Binti Abd Jamil, Sunil Kumar Vohra, Shashi Kant Gupta, Ashish Kumar Pandey, Getnet Worke Abate
Environment Development and Sustainability, 2025
Integrating blue-green infrastructure into urban development
Janjua, Laeeq Razzak, Malik, Firdous Ahmad 1988-, Maurya, Nitu, Gupta, Shashi Kant
Integrating Blue Green Infrastructure into Urban Development, 2024
Integrating artificial intelligence in blue-green infrastructure: Enhancing sustainability and resilience
Dhanunjay Reddy Seelam, Mridula Dileepraj Kidiyur, Pawan Whig, Shashi Kant Gupta, Siva Subrahmanyam Balantrapu
Integrating Blue Green Infrastructure into Urban Development, 2024
Implementation of a novel secured authentication protocol for cyber security applications
V. Suresh Kumar, Osamah Ibrahim Khalaf, Radha Raman Chandan, Qusay Bsoul, Shashi Kant Gupta, Firas Zawaideh, Deema Mohammed Alsekait, Diaa Salama AbdElminaam
Scientific Reports, 2024
Impact and potential of machine learning in the metaverse
Aljohani, Abeer Ahmed, Gupta, Shashi Kant, Khayyat, Mashael, Mehta, Shilpa
Impact and Potential of Machine Learning in the Metaverse, 2024
Generative AI: Unleashing personalized content in the metaverse
Babasaheb Jadhav, Ashish Kilkarni, Pooja Kulkarni, Shashi Kant Gupta
Impact and Potential of Machine Learning in the Metaverse, 2024
Human-machine interaction in the metaverse: A comprehensive review and proposed framework
Mudassar Sayyed, Babasaheb Ramdas Jadhav, Vikram Barnabas, Shashi Kant Gupta
Impact and Potential of Machine Learning in the Metaverse, 2024
Preface
Impact and Potential of Machine Learning in the Metaverse, 2024
Introduction to 5G new radio
Shaifali Garg, Shashi Kant Gupta, A. Deivasree Anbu, Anchal Pathak
Machine Learning for Mobile Communications, 2024
Reciprocated Bayesian-Rnn classifier-based mode switching and mobility management in mobile networks
Shashi Kant Gupta, Anchal Pathak, Sultanuddin SJ, Nupur Soni
Machine Learning for Mobile Communications, 2024
Innovative practices of educational system based on machine learning techniques and IT proficiency framework
Shashi Kant Gupta, Joanna Rosak-Szyrocka
Innovation in the University 4 0 System Based on Smart Technologies, 2024
Innovation in the university 4.0 system based on smart technologies
Shashi Kant Gupta, Joanna Rosak-Szyrocka
Innovation in the University 4 0 System Based on Smart Technologies, 2024
Preface
Emerging Materials Technologies and Solutions for Energy Harvesting, 2024
Emerging materials, technologies, and solutions for energy harvesting
Emerging Materials Technologies and Solutions for Energy Harvesting, 2024
Antenna identification and power allocation in multicell massive MIMO downstream: Energy conservation under user sum-rate constraint
Shashi Kant Gupta, Shilpa Mehta, Arij Naser Abougreen, Prabhdeep Singh
Emerging Materials Technologies and Solutions for Energy Harvesting, 2024
Optimization of processing sequence and computation mode in iot for mobile edge computing: A comprehensive analysis
Shashi Kant Gupta, Shilpa Mehta, Rajendra Kumar Tripathi, Shavej Ali Siddiqui
Emerging Materials Technologies and Solutions for Energy Harvesting, 2024
New role of value for customer 5.0 in augmented era
Joanna Rosak-Szyrocka, Shashi Kant Gupta, Flavio Boccia
Aspects of Quality Management in Value Creating in the Industry 5 0 Way, 2024
Aspects of Quality Management in Value Creating in the Industry 5.0 Way
Mohamed Abouhawwash, Joanna Rosak-Szyrocka, Shashi Kant Gupta
Aspects of Quality Management in Value Creating in the Industry 5 0 Way, 2024
An Investigation of Crime Detection Using Artificial Intelligence and Face Sketch Synthesis
Rajesh Natarajan, Natesh Mahadev, Shashi Kant Gupta, Badria Sulaiman Alfurhood
Journal of Applied Security Research, 2024
An Energy Efficient Resource Allocation Framework for Cloud System Based on Reinforcement Learning
Shashi Kant Gupta, Christodoss Prasanna Ranjith, Rajesh Natarajan, M. Syed Khaja Mohideen
Advancements in Science and Technology for Healthcare Agriculture and Environmental Sustainability A Review of the Latest Research and Innovations Proceedings of the International Analytics Conference Iac 2023, 2024
Biometrie Authentication for Healthcare Data Security in Cloud Computing—A Machine Learning Approach
Shashi Kant Gupta, Ahmed Alemran, Christodoss Prasanna Ranjith, M. Syed Khaja Mohideen
Advancements in Science and Technology for Healthcare Agriculture and Environmental Sustainability A Review of the Latest Research and Innovations Proceedings of the International Analytics Conference Iac 2023, 2024
E-customer safety in digital environment from the seller’s and the buyer’s perspectives
Shashi Kant Gupta, Joanna Rosak-Szyrocka, V. Suresh Kumar, Gilbert C. Magulod
Aspects of Quality Management in Value Creating in the Industry 5 0 Way, 2024
Agricultural Data Analysis Using Data Mining Techniques for Yield Prediction
Shashi Kant Gupta, S. Sri Nandhini Kowsalya, K Sathiyasekar, Rajesh Natarajan
Advancements in Science and Technology for Healthcare Agriculture and Environmental Sustainability A Review of the Latest Research and Innovations Proceedings of the International Analytics Conference Iac 2023, 2024
Integrated Model of Encryption and Steganography for Improving the Data Security in Communication Systems
Shashi Kant Gupta, Rajesh Natarajan, Ashish Kumar Pandey, Prabhdeep Singh
Advancements in Science and Technology for Healthcare Agriculture and Environmental Sustainability A Review of the Latest Research and Innovations Proceedings of the International Analytics Conference Iac 2023, 2024
Artificial Intelligence-Based Food Supply Chain Management During the Covid-19 Pandemic
Alex Khang, Sunil Kumar Vohra, Shashi Kant Gupta, Bhuvanesh Kumar Sharma
Advancements in Science and Technology for Healthcare Agriculture and Environmental Sustainability A Review of the Latest Research and Innovations Proceedings of the International Analytics Conference Iac 2023, 2024
Reliable Fingerprint Classification Based on Novel Deep Learning Approach
Shashi Kant Gupta, Ahmed Alemran, Christodoss Prasanna Ranjith, M. Syed Khaja Mohideen
Advancements in Science and Technology for Healthcare Agriculture and Environmental Sustainability A Review of the Latest Research and Innovations Proceedings of the International Analytics Conference Iac 2023, 2024
Deploying new IT tools in Industry 5.0 in the creative direction
Shashi Kant Gupta, Joanna Rosak-Szyrocka, Chandra Kumar Dixit, Shovona Choudhury, Julee Banerji
Aspects of Quality Management in Value Creating in the Industry 5 0 Way, 2024
Fortifying Healthcare Data Security in the Cloud: A Comprehensive Examination of the EPM-KEA Encryption Protocol
Umi Salma Basha, Shashi Kant Gupta, Wedad Alawad, SeongKi Kim, Salil Bharany
Computers Materials and Continua, 2024
Development of a Smart IoT-based Dustbin Level Monitoring System
Ayodeji Olalekan Salau, Timothy-Jacob Miyenseigha Marvellous, Shashi Kant Gupta, Justyna Żywiołek, Moses Oluwafemi Onibonoje, Kishore Kanna R
2024 2nd International Conference Computational and Characterization Techniques in Engineering and Sciences Ic3tes 2024, 2024
Augmenting EHR Systems by Utilizing Blockchain Technology with unique Aadhar Identity System
Rahul Joshi, Krishna Pandey, Suman Kumari, Shashi Kant Gupta, Mitali Mohanty, Ayodeji Olalekan Salau
2024 2nd International Conference Computational and Characterization Techniques in Engineering and Sciences Ic3tes 2024, 2024
Exploring the development of Machine Learning Innovation Technology for Data Mining in Smart Healthcare
Rahul Joshi, Krishna Pandey, Suman Kumari, Shashi Kant Gupta, Mitali Mohanty, Ayodeji Olalekan Salau
2024 2nd International Conference Computational and Characterization Techniques in Engineering and Sciences Ic3tes 2024, 2024
Analyzing the Futuristic Scope of Artificial Intelligence in the Healthcare Sector in India
Rahul Joshi, Krishna Pandey, Suman Kumari, Shashi Kant Gupta, Mitali Mohanty, Ayodeji Olalekan Salau
2024 2nd International Conference Computational and Characterization Techniques in Engineering and Sciences Ic3tes 2024, 2024
Understanding integration issues in intelligent transportation systems with IoT platforms, cloud computing, and connected vehicles
Rupesh Shukla, Anish Kumar Choudhary, V. Suresh Kumar, Priyanka Tyagi, A. Mutharasan, Sumita Kumar, Shashi Kant Gupta
Journal of Autonomous Intelligence, 2024
The 5G revolution: Tackling challenges in smart cities and intelligent transportation systems
Sunil Kumar Vohra, V. Suresh Kumar, Ramkumar Krishnamoorthy, Poornima Mahesh, Bhadrappa Haralayya, Nupur Soni, Shashi Kant Gupta
Journal of Autonomous Intelligence, 2024
Multimodal Bio Cryptography for Securing Cloud Computing using Convolutional Neural Network
Andualem Fantahun Mammo, Habitamu Endalamaew Kassahun, Smiley Gandhi, Shashi Kant Gupta, Ayodeji Olalekan Salau, Moses Oluwafemi Onibonoje, Kishore Kanna R
2024 2nd International Conference Computational and Characterization Techniques in Engineering and Sciences Ic3tes 2024, 2024
Transforming transportation: Embracing the potential of 5G, heterogeneous networks, and software defined networking in intelligent transportation systems
Surabhi Saxena, Radha Raman Chandan, Ramkumar Krishnamoorthy, Upendra Kumar, Prabhdeep Singh, Ashish Kumar Pandey, Shashi Kant Gupta
Journal of Autonomous Intelligence, 2024
InvNets: A Novel Approach for Parkinson Disease Detection Using Involution Neural Networks
Aleka Melese Ayalew, Ayodeji Olalekan Salau, Nigus Wereta Asnake, Yohannes Agegnehu Bezabh, Shashi Kant Gupta, Mohammad Israr, Biniyam Mulugeta Abuhayi, Sepiribo Lucky Braide
2024 2nd International Conference Computational and Characterization Techniques in Engineering and Sciences Ic3tes 2024, 2024
Grid Search Hyperparameters Tuning with Supervised Machine Learning for Awngi Language Named Entity Recognition
Amogne Andualem Ayalew, Gizachew Bitew, Ayodeji Olalekan Salau, Melaku Lake Tegegne, Shashi Kant Gupta, Mohammad Israr, Tesfa Tegegne, Tsehay Admassu Assegie
2024 2nd International Conference Computational and Characterization Techniques in Engineering and Sciences Ic3tes 2024, 2024
A review of weather forecasting using LSTM model
Rishabh Sharma, Shashi Kant Gupta, Yasmin Makki Mohialden, Priyanka Bhatewara Jain, Prabhishek Singh, Manoj Diwakar, Shiv Dayal Pandey, Sarvesh Kumar
Aip Conference Proceedings, 2023
A Novel Framework on Security and Energy Enhancement Based on Internet of Medical Things for Healthcare 5.0
Rajesh Natarajan, Gururaj Harinahallo Lokesh, Francesco Flammini, Anitha Premkumar, Vinoth Kumar Venkatesan, Shashi Kant Gupta
Infrastructures, 2023
Quality and Value Management in Education in the Digitalization Era
Shashi Kant Gupta, Joanna Rosak-Szyrocka
Quality Management Value Creation and the Digital Economy, 2023
Data-Centric Predictive Modeling of Turnover Rate and New Hire in Workforce Management System
Chandra Kumar Dixit, Parin Somani, Shashi Kant Gupta, Anchal Pathak
Designing Workforce Management Systems for Industry 4 0 Data Centric and AI Enabled Approaches, 2023
Big Data Analytics Tools, Challenges and Its Applications
Shashi Kant Gupta, Olena Hrybiuk, NL Sowjanya Cherukupalli, Arvind Kumar Shukla
Smart Cities Iot Technologies Big Data Solutions Cloud Platforms and Cybersecurity Techniques, 2023
Preface
Smart Cities Iot Technologies Big Data Solutions Cloud Platforms and Cybersecurity Techniques, 2023
AI-Aided IoT Technologies and Applications for Smart Business and Production
Alex Khang, Anuradha Misra, Shashi Kant Gupta, Vrushank Shah
AI Aided Iot Technologies and Applications for Smart Business and Production, 2023
Smart Cities: IoT Technologies, Big Data Solutions, Cloud Platforms, and Cybersecurity Techniques
Alex Khang, Shashi Kant Gupta, Sita Rani, Dimitrios A. Karras
Smart Cities Iot Technologies Big Data Solutions Cloud Platforms and Cybersecurity Techniques, 2023
Public Service Strategy Empowered for Internet of Things Technologies and Its Challenges
AI Aided Iot Technologies and Applications for Smart Business and Production, 2023
Robotics in Real-Time Applications Using Bayesian Hyper-Tuned Artificial Neural Network
Arvind Kumar Shukla, S. Poongodi, Alex Khang, Shashi Kant Gupta
AI Centric Modeling and Analytics Concepts Technologies and Applications, 2023
Prediction of Employees’ Performance Using Machine Learning (ML) Techniques
Anchal Pathak, Chandra Kumar Dixit, Parin Somani, Shashi Kant Gupta
Designing Workforce Management Systems for Industry 4 0 Data Centric and AI Enabled Approaches, 2023
Preface
AI Aided Iot Technologies and Applications for Smart Business and Production, 2023
AI-Based Competency Model and Design in the Workforce Development System
Parin Somani, Shashi Kant Gupta, Chandra Kumar Dixit, Anchal Pathak
Designing Workforce Management Systems for Industry 4 0 Data Centric and AI Enabled Approaches, 2023
Detection of Cyber Attacks in IoT-Based Smart Cities Using Integrated Chain Based Multiclass Support Vector Machine
Shobhna Jeet, Shashi Kant Gupta, Olena Hrybiuk, Nupur Soni
Smart Cities Iot Technologies Big Data Solutions Cloud Platforms and Cybersecurity Techniques, 2023
Data-Driven Application of Human Capital Management Databases, Big Data, and Data Mining
Alex Khang, Shashi Kant Gupta, Chandra Kumar Dixit, Parin Somani
Designing Workforce Management Systems for Industry 4 0 Data Centric and AI Enabled Approaches, 2023
Preface
AI Centric Modeling and Analytics Concepts Technologies and Applications, 2023
Data Mining Processes and Decision-Making Models in the Personnel Management System
Shashi Kant Gupta, Alex Khang, Parin Somani, Chandra Kumar Dixit, Anchal Pathak
Designing Workforce Management Systems for Industry 4 0 Data Centric and AI Enabled Approaches, 2023
AI-Centric Modeling and Analytics: Concepts, Technologies, and Applications
Alex Khang, Vugar Abdullayev, Babasaheb Jadhav, Shashi Gupta, Gilbert Morris
AI Centric Modeling and Analytics Concepts Technologies and Applications, 2023
Preface
Designing Workforce Management Systems for Industry 4 0 Data Centric and AI Enabled Approaches, 2023
Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches
Alex Khang, Sita Rani, Rashmi Gujrati, Hayri Uygun, Shashi Gupta
Designing Workforce Management Systems for Industry 4 0 Data Centric and AI Enabled Approaches, 2023
Image Segmentation on Gabor Filtered images using Projective Transformation
Shashi Kant Gupta, Ahmed Alemran, Prabhdeep Singh, Alex Khang, Chandra Kumar Dixit, Bhadrappa Haralayya
Icrtec 2023 Proceedings IEEE International Conference on Recent Trends in Electronics and Communication Upcoming Technologies for Smart Systems, 2023
Solving Roulette Wheel Selection Method using Swarm Intelligence for Trajectory Planning of Intelligent Systems
Shashi Kant Gupta, Waseem Ahmad, Dimitrios A. Karras, Alex Khang, Chandra Kumar Dixit, Bhadrappa Haralayya
Icrtec 2023 Proceedings IEEE International Conference on Recent Trends in Electronics and Communication Upcoming Technologies for Smart Systems, 2023
Heterogeneity issues in IoT-driven devices and services
Shashi Kant Gupta, Radha Raman Chandan, Rupesh Shukla, Prabhdeep Singh, Ashish Kumar Pandey, Amit Kumar Jaiswal
Journal of Autonomous Intelligence, 2023
Detection of Number Plate in Vehicles using Deep Learning based Image Labeler Model
Shashi Kant Gupta, Surabhi Saxena, Alex Khang, Bramah Hazela, Chandra Kumar Dixit, Bhadrappa Haralayya
Icrtec 2023 Proceedings IEEE International Conference on Recent Trends in Electronics and Communication Upcoming Technologies for Smart Systems, 2023
Collaborative Energy-Efficient Routing Protocol for Sustainable Communication in 5G/6G Wireless Sensor Networks
H. L. Gururaj, Rajesh Natarajan, Nouf Abdullah Almujally, Francesco Flammini, Sujatha Krishna, Shashi Kant Gupta
IEEE Open Journal of the Communications Society, 2023
Detection of Lung Tumor using an efficient Quadratic Discriminant Analysis Model
Shashi Kant Gupta, V. Suresh Kumar, Alex Khang, Bramah Hazela, Nivethitha T, Bhadrappa Haralayya
Icrtec 2023 Proceedings IEEE International Conference on Recent Trends in Electronics and Communication Upcoming Technologies for Smart Systems, 2023
AI-based smart education system for a smart city using an improved self-adaptive leap-frogging algorithm
Ahmed Muayad Younus, Mohanad S.S. Abumandil, Veer P. Gangwar, Shashi Kant Gupta
AI Centric Smart City Ecosystems Technologies Design and Implementation, 2022
Design and implementation of a smart healthcare system using blockchain technology with a dragonfly optimizationbased blowfish encryption algorithm
Shivlal Mewada, Dhruva Sreenivasa Chakravarthi, S. J. Sultanuddin, Shashi Kant Gupta
Data Driven Blockchain Ecosystem Fundamentals Applications and Emerging Technologies, 2022
Implementation of a blockchain-based smart shopping system for automated bill generation using smart carts with cryptographic algorithms
Parin Somani, Sunil Kumar Vohra, Subrata Chowdhury, Shashi Kant Gupta
Data Driven Blockchain Ecosystem Fundamentals Applications and Emerging Technologies, 2022
Faster As Well As Early Measurements from Big Data Predictive Analytics Model
Shashi Kant Gupta, Sharda Tiwari, Azlin Abd Jamil, Prabhdeep Singh
Ecs Transactions, 2022
Securing the Confidentiality and Integrity of Cloud Computing Data
Bramah Hazela, Shashi Kant Gupta, Nupur Soni, Ch Naga Saranya
Ecs Transactions, 2022
A Comprehensive Analysis of Technologies for Accounting & Finance in Manufacturing Firms
G. S. Jayesh, Dony Novaliendry, Shashi Kant Gupta, Amit Kumar Sharma, Bramah Hazela
Ecs Transactions, 2022
Examining the role of Enterprise Resource Planning (ERP) in improving business operations in companies
Ashish Kumar Pandey, Raghvendra Kumar Singh, G. S. Jayesh, Neha Khare, Shashi Kant Gupta
Ecs Transactions, 2022
Malware Detection Using Genetic Cascaded Support Vector Machine Classifier in Internet of Things
Shashi Kant Gupta, Birajashis Pattnaik, Vineet Agrawal, Raja Sarath Kumar Boddu, Archana Srivastava, Bramah Hazela
2022 2nd International Conference on Computer Science Engineering and Applications Iccsea 2022, 2022
Solving Vehicle Routing Problem for Intelligent Systems using Delaunay Triangulation
M. Sakthivel, Shashi Kant Gupta, Dimitrios A. Karras, Alex Khang, Chandra Kumar Dixit, Bhadrappa Haralayya
IEEE International Conference on Knowledge Engineering and Communication Systems Ickes 2022, 2022
Deployment of Autonomous Vehicles in Agricultural and using Voronoi Partitioning
Shailendra Tahilyani, Surabhi Saxena, Dimitrios A. Karras, Shashi Kant Gupta, Chandra Kumar Dixit, Bhadrappa Haralayya
IEEE International Conference on Knowledge Engineering and Communication Systems Ickes 2022, 2022
Natural Language Processing using Graph Neural Network for Text Classification
V. Suresh Kumar, Ahmed Alemran, Dimitrios A. Karras, Shashi Kant Gupta, Chandra Kumar Dixit, Bhadrappa Haralayya
IEEE International Conference on Knowledge Engineering and Communication Systems Ickes 2022, 2022
Extraction of SIFT Features for Identifying Disaster Hit areas using Machine Learning Techniques
V. Suresh Kumar, Ahmed Alemran, Shashi Kant Gupta, Bramah Hazela, Chandra Kumar Dixit, Bhadrappa Haralayya
IEEE International Conference on Knowledge Engineering and Communication Systems Ickes 2022, 2022
Drone Surveillance in Flood Affected Areas using Firefly Algorithm
V. Suresh Kumar, M. Sakthivel, Dimitrios A. Karras, Shashi Kant Gupta, Syam Machinathu Parambil Gangadharan, Bhadrappa Haralayya
IEEE International Conference on Knowledge Engineering and Communication Systems Ickes 2022, 2022
Using Mobile Computing to Provide a Smart and Secure Internet of Things (IoT) Framework for Medical Applications
Rajesh Kumar Kaushal, Rajat Bhardwaj, Naveen Kumar, Abeer A. Aljohani, Shashi Kant Gupta, Prabhdeep Singh, Nitin Purohit
Wireless Communications and Mobile Computing, 2022
Secure and Scalable Healthcare Data Transmission in IoT Based on Optimized Routing Protocols for Mobile Computing Applications
Eshrag Refaee, Shabana Parveen, Khan Mohamed Jarina Begum, Fatima Parveen, M. Chithik Raja, Shashi Kant Gupta, Santhosh Krishnan
Wireless Communications and Mobile Computing, 2022
Retraction:Human Resource Demand Prediction and Configuration Model Based on Grey Wolf Optimization and Recurrent Neural Network
Navaneetha Krishnan Rajagopal, Mankeshva Saini, Rosario Huerta-Soto, Rosa Vílchez-Vásquez, J. N. V. R. Swarup Kumar, Shashi Kant Gupta, Sasikumar Perumal
Computational Intelligence and Neuroscience, 2022
Future of Business Culture: An Artificial Intelligence-Driven Digital Framework for Organization Decision-Making Process
Navaneetha Krishnan Rajagopal, Naila Iqbal Qureshi, S. Durga, Edwin Hernan Ramirez Asis, Rosario Mercedes Huerta Soto, Shashi Kant Gupta, S. Deepak
Complexity, 2022
Hybrid Cloud Computing for Data Security System
Surabhi Saxena, Diwakar Yagyasen, Ch Naga Saranya, Raja Sarath Kumar Boddu, Amit Kumar Sharma, Shashi Kant Gupta
2021 International Conference on Advancements in Electrical Electronics Communication Computing and Automation Icaeca 2021, 2021

Dr. Shashi Kant Gupta

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