Kapil Sharma

Scopus Publications

Machine Learning Approaches to Detect Psychological Patterns in Social Media Content
Kapil Sharma, Neha Gupta, Shruti Sharma, Vandit Hedau
Signals and Communication Technology, 2026
Next-generation healthcare: Digital twin technology and Monkeypox Skin Lesion Detector network enhancing monkeypox detection - Comparison with pre-trained models
Vikas Sharma, Akshi Kumar, Kapil Sharma
Engineering Applications of Artificial Intelligence, 2025
A framework for classifying breast cancer via heterogenetic attention mechanism and optimized feature selection
AVS Swetha, Manju Bala, Kapil Sharma
Intelligent Data Analysis, 2025
Breast cancer poses a significant threat to women’s health, emphasizing the crucial role of timely detection. Traditional pathology reports, though widely used, face challenges prompting the development of automated Deep Learning (DL) tools. DL models, gaining traction in radiology, offer precise diagnoses; however, issues with generalization on varying dataset sizes persist. This paper introduces a computationally efficient DL framework, addressing dataset imbalance through a hybrid model design, ensuring both accuracy and speed in breast cancer image classification. Proposed model novel design excels in accuracy and generalization across medical imaging datasets, providing a robust tool for precise diagnostics. The proposed model integrates features from two classifiers, Inception ResNet V2 and Vision Transformers (ViT), to enhance the classification of breast cancer. This synergistic blend enhances adaptability, ensuring consistent performance across diverse dataset scales. A key contribution is the introduction of an Efficient Attention Mechanism within one of the classifiers, optimizing focus on critical features for improved accuracy and computational efficiency. Further, a Resource-Efficient Optimization model through feature selection is proposed, streamlining computational usage without compromising accuracy. Addressing the inherent heterogeneity within classifiers, our framework integrates high dimensional features comprehensively, leading to more accurate tumor class predictions. This consideration of heterogeneity marks a significant leap forward in precision for breast cancer diagnosis. An extensive analysis on datasets, BreakHis and BACH, that are imbalanced in nature is conducted by evaluating complexity, performance, and resource usage. Comprehensive evaluation using the datasets and standard performance metrics accuracy, precision, Recall, F1-score, MCC reveals the model’s high efficacy, achieving a testing accuracy of 0.9936 and 0.994, with precision, recall, F1-score and MCC scores of 0.9919, 0.987, 0.9898, 0.9852 and 0.989, 1.0, 0.993, 0.988 on the BreakHis and BACH datasets, respectively. Our proposed model outperforms state-of-the-art techniques, demonstrating superior accuracy across different datasets, with improvements ranging from 0.25% to 15% on the BACH dataset and from 0.36% to 15.02% on the BreakHis dataset. Our results position the framework as a promising solution for advancing breast cancer prediction in both clinical and research applications. The collective contributions, from framework and hybrid model design to feature selection and classifier heterogeneity consideration, establish a holistic and state-of-the-art approach, significantly improving accuracy and establishing optimization in breast cancer classification from MRI images. Future research for the DL framework in breast cancer image classification includes enhancing interpretability, integrating multi-modal data, and developing personalized treatments.
Digital twin: securing IoT networks using integrated ECC with blockchain for healthcare ecosystem
Vikas Sharma, Akshi Kumar, Kapil Sharma
Knowledge and Information Systems, 2025
Intelligent Nanorobots for Precision Cancer Diagnosis and Treatment using Deep Reinforcement Learning
Kapil Sharma, Ravi Ranjan
2025 11th International Conference on Mechatronics and Robotics Engineering Icmre 2025, 2025
Early detection of cancer is essential as it significantly improves treatment outcomes and survival rates by addressing the disease before it spreads to other organs. Many cancers, such as breast, cervical, and colorectal, are highly treatable in their initial stages. With the development of Artificial intelligence, nano technology, the engineers, doctors, and biologist are working on nanorobots for diagnosis and treatment of cancer. It can help detect cancer at an early stage. Early diagnosis often reduces the complexity and cost of treatment, alleviating the physical and financial burdens on patients. Nanorobots are at the forefront of advanced biomedical applications, offering potential breakthroughs in targeted drug delivery and precision diagnostics, particularly for cancer treatment. By integrating artificial intelligence and Deep Reinforcement Learning, these devices can autonomously navigate complex biological environments to detect cancer cells via biomarker gradients. This work explores the deployment of Deep Q-Learning to improve nanorobot decision-making, enabling efficient path optimization and obstacle navigation.
Anomaly Detection for Sensor Manipulation in Matter Enabled-IoT Devices with Faulty Data Injection
Jahnvi Patel, Kapil Sharma
2025 International Conference on Pervasive Computational Technologies Icpct 2025, 2025
The security of Internet of Things (IoT) devices in Matter-enabled networks is crucial, as attacks such as sensor spoofing and data injection can lead to significant disruptions. Sensor manipulation attacks where the attackers manipulate the sensor inputs to create erroneous behavior in devices are issues of serious concern for anomaly detections. Faulty sensor data can cause devices to operate in unsafe or inefficient conditions across various applications, compromising system reliability and performance. The Isolation Forest algorithm is employed to isolate faulty data injections as outliers in sensor readings, offering a robust method for anomaly detection. The approach, therefore, focuses on the possibility of enhancing detection with greater reliability in IoT networks. The lightweight and extensible approach also assembles a process of strengthening Matter-based networks against vulnerabilities emanating from wrong control feedback.
Enhanced Security In Matter-Enabled Iot Networks Through Anomaly Detection
Manjit Kumar, Kapil Sharma
2025 International Conference on Pervasive Computational Technologies Icpct 2025, 2025
The adoption of Matter-enabled Internet of Things (IoT) networks has significantly improved interoperability and security in smart environments. However, despite these advancements, mesh networks within the Matter protocol remain vulnerable to security threats, particularly packet flooding attacks. These attacks generate excessive network traffic, causing packet loss, delays, and overall performance degradation. While Matter includes robust security features such as end-to-end encryption, authentication, and replay protection, these measures are insufficient for detecting flooding attacks in real time.This research proposes an intelligent anomaly detection framework that utilizes telemetry data to identify devices contributing to harmful traffic. By employing the Isolation Forest algorithm, the framework accurately distinguishes abnormal network behaviors—such as increased retry attempts and prolonged message delivery times—from normal operations. Experimental results demonstrate its ability to detect malicious activity with high accuracy and minimal false positives.The study underscores the importance of real-time anomaly detection in protecting Matter IoT networks from flooding attacks. The proposed solution is both scalable and resource-efficient, making it well-suited for deployment in resource-constrained IoT environments.
Swarm Intelligence in Robotics: Optimizing PSO Parameters for Target Search in Single and Multiple Scenarios
Vikas Sharma, Rahul Gupta, Kapil Sharma
2025 11th International Conference on Mechatronics and Robotics Engineering Icmre 2025, 2025
Target-tracing applications have attracted much interest in unmanned vehicles and mobile robots, especially where human access is limited or dangerous. Several computational techniques such as genetic algorithms, evolutionary computations, and neural networks have been explored to improve the entire system's control mechanism and efficiency. This paper addresses PSO as a high-performance method for enabling collaborative robotic search operations. It has many critical parameters influencing its performance, which are finely optimized using another PSO process to make the best use of this optimization technique. Experimentations set forth show that this indeed does much improve the efficiency and accuracy of searches carried out by robots. These validation experiments work on single-target and multi-target cases to present vivid effectiveness. The results emphasize the ability of PSO to contribute toward autonomous search and rescue operations and all other applications.
FOGSAFE: IoT enabled V2V communication system for enhanced visibility and safety in low visibility conditions
Ishita, Izna, Kapil Sharma
Applications of Artificial Intelligence in 5g and Internet of Things Proceedings of the 1st International Conference on Applications of AI in 5g and Iot Icaai5gi 2024, 2025
The development of the Internet of Things (IoT) idea in the form of Internet of Vehicles (IoV) has provided a solution to all of the challenges associated with operating a vehicle. The full potential of IoV creates a distributed network of automobiles that cooperate with diverse vehicular systems, addressing numerous issues related to traffic monitoring and road safety measures. Due to their high latency and responsiveness delays, current technologies such as Vehicular Cloud Computing, Vehicle Ad hoc Networks (VANET), and Mobile Cloud Computing are not optimal. Vehicle Fog Computing (VFC), a potential paradigm that combines fog computing and vehicle networks, offers VANETSs an efficient but different approach. Particle swarm optimization (PSO) algorithm is used to route the path optimization which leads to the most efficient routing paths being the best ones in the VANET. VFC boasts several advantages including very high throughput, consuming very little energy, and maintaining energy efficiency, with this hybrid model of Ada Boost and Random Forest Algorithm we get an impressive accuracy of 99.928%.
Breaking Barriers in Satellite Image Segmentation: A U-Net Ensemble Approach
Vikas Sharma, Akshi Kumar, Kapil Sharma
Journal of Engineering Science and Technology Review, 2025
Introduction to NLP in Finance: Sentiment Analysis and Risk Management
Ravi Ranjan, Kapil Sharma, Akshi Kumar
Transformative Natural Language Processing Bridging Ambiguity in Healthcare Legal and Financial Applications, 2025
Integrated LLM for Effective Messaging
Sony Rajput, Jeebananda Panda, Kapil Sharma
Proceedings 2025 7th International Conference on Artificial Intelligence and Speech Technology Aist 2025, 2025
Hybrid Anomaly Detection Framework for Matter-Enabled IoT Devices
Vaibhav Krishan, Shivam Dhar, Kapil Sharma
2025 IEEE 14th International Conference on Communication Systems and Network Technologies Csnt 2025, 2025
A Visual Android Malware Detection Technique Based on Process Memory Dump Files
Rahul Gupta, Kapil Sharma, Ramesh Kumar Garg
Lecture Notes in Networks and Systems, 2025
Tourism Chatbot Quality in High Versus Low Digital Literacy Contexts
Arul Pandita, Kartik Anand, Kapil Sharma, Vikas Sharma
Lecture Notes in Networks and Systems, 2025
Machine Learning for Crop Damage Assessment: A Study on Drought Prediction in Africa
Shubham Aggarwal, Shubham Ahlawat, Vaishnavi, Kapil Sharma
Lecture Notes in Networks and Systems, 2025
A Study on Breast Cancer Detection Using Machine Learning
Ahmad Amin Nazari, Gulshan Bhati, Dharamveer, Kapil Sharma
Lecture Notes in Networks and Systems, 2025
Efficient feature selection for histopathological image classification with improved multi-objective WOA
Ravi Sharma, Kapil Sharma, Manju Bala
Scientific Reports, 2024
Hybrid-Neuro Bandit: A Bandit Model for Online Recommendation
Nipun Bansal, Manju Bala, Kapil Sharma
Defence Science Journal, 2024
Digital twin application in women's health: Cervical cancer diagnosis with CervixNet
Vikas Sharma, Akshi Kumar, Kapil Sharma
Cognitive Systems Research, 2024
Extractive text summarization for biomedical transcripts using deep dense LSTM-CNN framework
Parminder Pal Singh Bedi, Manju Bala, Kapil Sharma
Expert Systems, 2024
Transition metal induced- magnetization and spin-polarisation in black arsenic phosphorous
Anurag Chauhan, Kapil Sharma, Sudhanshu Choudhary
Ain Shams Engineering Journal, 2024
Face Detection Framework for Accelerated Analysis of High-Quality Multimedia Content
Akshay Mool, Jeebananda Panda, Kapil Sharma
International Journal of Pattern Recognition and Artificial Intelligence, 2024
Innovative Approach to Android Malware Detection: Prioritizing Critical Features Using Rough Set Theory
Rahul Gupta, Kapil Sharma, Ramesh Kumar Garg
Electronics Switzerland, 2024
Transforming Skin Cancer Diagnosis: A Novel Approach Using Vision Transformer Networks
Srideep Das, Kapil Sharma
Lecture Notes in Electrical Engineering, 2024
Forecasting Higher Heating Value of Biomass Fuels based on Ultimate Analysis using various Deep Learning Frameworks
Nilesh Agarwal, Kapil Sharma, Mukhtiar Singh
Proceedings of the 14th International Conference on Cloud Computing Data Science and Engineering Confluence 2024, 2024
AI and Digital Twins Transforming Healthcare IoT
Vikas Sharma, Kapil Sharma, Akshi Kumar
Proceedings of the 14th International Conference on Cloud Computing Data Science and Engineering Confluence 2024, 2024
FuzzyBandit: An Autonomous Personalized Model Based on Contextual Multi-Arm Bandits Using Explainable AI
Nipun Bansal, Manju Bala, Kapil Sharma
Defence Science Journal, 2024
A Linear Time Shrinking-SL(t)-ViT Approach for Brain Tumor Identification and Categorization
A.V.S. Swetha, Manju Bala, Kapil Sharma
IETE Journal of Research, 2024
Friend discovery based on user’s interest
Sachin Papneja, Kapil Sharma, Nitesh Khilwani
International Journal of Advanced Intelligence Paradigms, 2024
MLM: Masked Language Modeling Using Deep Learning for Efficient Summarization of Unstructured Data
Parminder Pal Singh Bedi, Manju Bala, Kapil Sharma
Lecture Notes in Networks and Systems, 2024
Optimized Hybrid Model Framework for Breast Cancer Classification
A.V.S. Swetha, Manju Bala, Kapil Sharma
Proceedings of the 14th International Conference on Cloud Computing Data Science and Engineering Confluence 2024, 2024
Covalent Bond Based Android Malware Detection Using Permission and System Call Pairs
Rahul Gupta, Kapil Sharma, R. K. Garg
Computers Materials and Continua, 2024
Multi-Keyword Ranked Search in Cloud Environment
Vikas Sharma, Kapil Sharma, Akshi Kumar, Pawan .
Journal of Engineering Science and Technology Review, 2024
GRU-Enhanced Decoding by Lightweight Transformer for Image Captioning
Daksh Chaudhary, Kapil Sharma, Vikas Sharma, Prasuk Jain
Proceedings of the 14th International Conference on Cloud Computing Data Science and Engineering Confluence 2024, 2024
Melanoma Skin Cancer Detection Using InvolutionNet
Shubham Chaudhary, Vishal Gupta, Kunal Deo, Kapil Sharma
2024 Control Instrumentation System Conference Guiding Tomorrow Emerging Trends in Control Instrumentation and Systems Engineering Ciscon 2024, 2024
Classification of Type2-Diabetes Using an Ensemble Deep Learning Model CNN-LSTM
Ritcha Saxena, Priya Verma, Vikas Sharma, Kapil Sharma, Jiya
Proceedings of the 14th International Conference on Cloud Computing Data Science and Engineering Confluence 2024, 2024
Towards Precision Medicine: Deep Learning Models for Cervical Cancer Detection and Prevention
Tushar Giri, Ved Prakash Meena, Vikas Sharma, Kapil Sharma, Pawan Pawan
2024 1st International Conference on Advanced Computing and Emerging Technologies Acet 2024, 2024
Real-time emotional health detection using fine-tuned transfer networks with multimodal fusion
Aditi Sharma, Kapil Sharma, Akshi Kumar
Neural Computing and Applications, 2023
Transition metal induced-magnetization in zigzag SiCNTs
Anurag Chauhan, Kapil Sharma, Sudhanshu Choudhary
Journal of Computational Electronics, 2023
Retraction Note: Indian smart city ranking model using taxicab distance-based approach (Energy Systems, (2022), 13, 3, (625-642), 10.1007/s12667-019-00365-9)
Kapil Sharma, Sandeep Tayal
Energy Systems, 2023
A Review of IoT Security Solutions Using Machine Learning and Deep Learning
Anamika Chauhan, Kapil Sharma
Lecture Notes in Networks and Systems, 2023
Inception-ResNet-V2 Based Skin Lesion Classification for Early Detection and Treatment
Srideep Das, Kapil Sharma
Proceedings 2023 International Conference on Computational Intelligence for Information Security and Communication Applications Ciisca 2023, 2023
DeepWalk Based Influence Maximization (DWIM): Influence Maximization Using Deep Learning
Sonia, Kapil Sharma, Monika Bajaj
Intelligent Automation and Soft Computing, 2023
Android Malware Detection based on Feature-pair Bonding: A Hybrid Detection Model
Rahul Gupta, Kapil Sharma, R.K Garg
Proceedings IEEE 2023 5th International Conference on Advances in Computing Communication Control and Networking Icac3n 2023, 2023
Smart Solution Using Digital Twin and IoT for Diabetic Retinopathy
Yashasvi Chahal, Ritika Tokas, Kapil Sharma
2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
Comparative Analysis of Face Detection Techniques on Videos of Low Vs High Quality
Akshay Mool, Jeebananda Panda, Kapil Sharma
Icsccc 2023 3rd International Conference on Secure Cyber Computing and Communications, 2023
A Novel Multi Features Deep Learning Architecture for Breast Cancer Detection Using Loss Function
A. V. S. Swetha, Manju Bala, Kapil Sharma
Lecture Notes in Networks and Systems, 2023
Effectual Seed Pick Framework Focusing on Maximizing Influence in Social Networks
Sonia Choudhary, Kapil Sharma, Monika Bajaj
Wireless Communications and Mobile Computing, 2023
Empirical Analysis of Psychological Well-Being of Students During the Pandemic with Rebooted Remote Learning Mode
Akshi Kumar, Kapil Sharma, Aditi Sharma
Lecture Notes in Networks and Systems, 2023
Improvement in Validation Score with Loss Function for Breast Cancer Detection Using Deep Learning
parminder Pal Singh Bedi, Manju Bala, Kapil Sharma
Proceedings 4th IEEE 2023 International Conference on Computing Communication and Intelligent Systems Icccis 2023, 2023
A Robust Colon Cancer Detection Model Using Deep- Learning
Vanishka Kadian, Arushi Singh, Kapil Sharma
Icsccc 2023 3rd International Conference on Secure Cyber Computing and Communications, 2023
From Theory to Practice: A Systematic Review of Digital Twin Implementations Across Industry 4.0
Vikas Sharma, Kapil Sharma, Akshi Kumar
2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
Social Networks Analysis and Machine Learning: an Overview of Approaches and Applications
Sonia Choudhary, Kapil Sharma, Monika Bajaj
International Conference on Sustainable Computing and Smart Systems Icscss 2023 Proceedings, 2023
Impact of UI/UX on usage of mobile apps for remote psychological health monitoring
Shresth Goyal, Jiya Sharma, Kapil Sharma, Akshi Kumar
2023 14th International Conference on Computing Communication and Networking Technologies Icccnt 2023, 2023
A data-driven: Design, modeling analytics approach for smart IoT based air pollution monitoring system
A.V.S. Yeswanth, Himanshu Nandanwar, Kapil Sharma, Anamika Chauhan
Proceedings of 2023 2nd International Conference on Informatics Ici 2023, 2023
EvilSpot: Detection and Mitigation in Multi Channel
Sushant A.A., Tanmay Arora, Vishesh Abrol, Kapil Sharma
IEEE International Conference on Advances in Electronics Communication Computing and Intelligent Information Systems Icaecis 2023 Proceedings, 2023
Artificial intelligence-driven radio channel capacity in 5G and 6G wireless communication systems in the presence of vegetation: Prospect and challenges
Sachin Kumar, T. Senthil Siva Subramanian, Kapil Sharma, G.V. Ramesh Babu
Smart Embedded Systems Advances and Applications, 2023
MonkeyPox, Measles and ChickenPox Detection through Image-Processing using Residual Neural Network (ResNet)
Kapil Sharma, Kishlay, Vinod Kumar, Mayank Mittal
2023 6th International Conference on Information Systems and Computer Networks Iscon 2023, 2023
Mid-IR supercontinuum generation in dispersion flattened As38Se62chalcogenide photonic crystal fiber
A Khamaru, K Sharma, D S Tomer, A Kumar
Journal of Physics Conference Series, 2023
An enhanced hybrid model paradigm for transforming breast cancer prediction
A.V.S. Swetha, Manju Bala, Kapil Sharma, Rahul Katarya
Proceedings 17th International Conference on Signal Image Technology and Internet Based Systems Sitis 2023, 2023
Extractive summarization using concept-space and keyword phrase
Parminder Pal Singh Bedi, Manju Bala, Kapil Sharma
Expert Systems, 2022
Indian smart city ranking model using taxicab distance-based approach
Kapil Sharma, Sandeep Tayal
Energy Systems, 2022
Fetal state health monitoring using novel Enhanced Binary Bat Algorithm
Prerna Sharma, Kapil Sharma
Computers and Electrical Engineering, 2022
MEmoR: A Multimodal Emotion Recognition using affective biomarkers for smart prediction of emotional health for people analytics in smart industries
Akshi Kumar, Kapil Sharma, Aditi Sharma
Image and Vision Computing, 2022
A novel quantum-inspired binary bat algorithm for leukocytes classification in blood smear
Prerna Sharma, Kapil Sharma
Expert Systems, 2022
Optimizable face detection and tracking model with occlusion resolution for high quality videos
Akshay Mool, J. Panda, Kapil Sharma
Multimedia Tools and Applications, 2022
An optimal nuclei segmentation method based on enhanced multi-objective GWO
Ravi Sharma, Kapil Sharma
Complex and Intelligent Systems, 2022
Theoretical Development based Nature-Inspired Optimization Algorithms: Applications and Challenges
Prerna Sharma, Kapil Sharma
3rd IEEE 2022 International Conference on Computing Communication and Intelligent Systems Icccis 2022, 2022
Optimized Classification of fetal state health using GWO and WOA
Prerna Sharma, Kapil Sharma
2022 IEEE 9th International Conference on Sciences of Electronics Technologies of Information and Telecommunications Setit 2022, 2022
Optimizing Control of IOT Device using Traditional Machine Learning Models and Deep Neural Networks
Palak Meena, Palak Sharma, Kapil Sharma
Proceedings 6th International Conference on Computing Methodologies and Communication Iccmc 2022, 2022
A chaos-based probabilistic block cipher for image encryption
Sakshi Dhall, Saibal K. Pal, Kapil Sharma
Journal of King Saud University Computer and Information Sciences, 2022
False Data Injection and Detection in Smart Grid Cyber-Physical Systems by Iterative Load Flow Analysis
Swati Sharda, Kapil Sharma, Mukhtiar Singh
Lecture Notes in Networks and Systems, 2022
A complete consumer behaviour learning model for real-time demand response implementation in smart grid
Swati Sharda, Mukhtiar Singh, Kapil Sharma
Applied Intelligence, 2022
A Review on Opinion Leader Detection and its Applications
Sonia, Kapil Sharma, Monika Bajaj
7th International Conference on Communication and Electronics Systems Icces 2022 Proceedings, 2022
Parallel Hybrid BBO Search Method for Twitter Sentiment Analysis of Large Scale Datasets Using MapReduce
Ashish Kumar Tripathi, Kapil Sharma, Manju Bala
Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines Volume I IV, 2022
Analysis of Histopathological images: An Overview
Ravi Sharma, Kapil Sharma, Manju Bala
Proceedings of International Conference on Computing Communication Security and Intelligent Systems Ic3sis 2022, 2022
Supervision Software using Artificial Intelligence
Shantanu Shishodia, Tanmay Garg, Shubhanshu Chaudhary, Kapil Sharma
2022 2nd International Conference on Computer Science Engineering and Applications Iccsea 2022, 2022
Penetration Testing of Wireless EncryptionProtocols
Sandesh Jain, Sarthak Pruthi, Vivek Yadav, Kapil Sharma
Proceedings 6th International Conference on Computing Methodologies and Communication Iccmc 2022, 2022
Taxonomy of Routing Protocols
Kapil Sharma, Himanshu Anand, Himanshu Nandanwar, Anamika Chauhan
2022 International Conference for Advancement in Technology Iconat 2022, 2022
Real-Time Object Size Dimensioning in Raspberry Pi
Sahil Khadane, Sahil Saini, Samarth Mittal, Kapil Sharma
7th International Conference on Communication and Electronics Systems Icces 2022 Proceedings, 2022
Face Recognition System Using Image Enhancement With PCA and LDA
Sparsh, Rohit Aggarwal, Sourabh Bhardwaj, Kapil Sharma
Proceedings 6th International Conference on Computing Methodologies and Communication Iccmc 2022, 2022
NEAT-Traffic: An Evolutionary Network based approach towards Intersection Optimisation
Kunal Taneja, Dhruv Chandel, Kartik Bansal, Kapil Sharma
Proceedings 6th International Conference on Computing Methodologies and Communication Iccmc 2022, 2022
A real-time automated scheduling algorithm with PV integration for smart home prosumers
Swati Sharda, Kapil Sharma, Mukhtiar Singh
Journal of Building Engineering, 2021
New failure rate model for iterative software development life cycle process
Sangeeta, Sitender, Kapil Sharma, Manju Bala
Automated Software Engineering, 2021
Detection of COVID 19 using Transfer Learning and Progressive Resizing on HR-CT Images
Shikhar Saxena, Kapil Sharma
2021 2nd Global Conference for Advancement in Technology Gcat 2021, 2021
Genetically optimized Fuzzy C-means data clustering of IoMT-based biomarkers for fast affective state recognition in intelligent edge analytics
Akshi Kumar, Kapil Sharma, Aditi Sharma
Applied Soft Computing, 2021
Semantic Segmentation using Generative Adversarial Networks with a Feature Reconstruction Loss
Gaurav Sohaliya, Kapil Sharma
2021 Asian Conference on Innovation in Technology Asiancon 2021, 2021
An Evolution of Style Transfer from Artistic to Photorealistic: A Review
Gaurav Sohaliya, Kapil Sharma
2021 Asian Conference on Innovation in Technology Asiancon 2021, 2021
Attention U-Net Architecture for Dental Image Segmentation
Pratyush Harsh, Ratul Chakraborty, Shaurya Tripathi, Kapil Sharma
2021 International Conference on Intelligent Technologies Conit 2021, 2021
Novel approach for multimodal feature fusion to generate cancelable biometric
Keshav Gupta, Gurjit Singh Walia, Kapil Sharma
Visual Computer, 2021
Hierarchical deep neural network for mental stress state detection using IoT based biomarkers
Akshi Kumar, Kapil Sharma, Aditi Sharma
Pattern Recognition Letters, 2021
RSAM: Robust Self-Attention Based Multi-Horizon Model for Solar Irradiance Forecasting
Swati Sharda, Mukhtiar Singh, Kapil Sharma
IEEE Transactions on Sustainable Energy, 2021
A Parallel Military-Dog-Based Algorithm for Clustering Big Data in Cognitive Industrial Internet of Things
Ashish Kumar Tripathi, Kapil Sharma, Manju Bala, Akshi Kumar, Varun G Menon, Ali Kashif Bashir
IEEE Transactions on Industrial Informatics, 2021
Demand side management through load shifting in IoT based HEMS: Overview, challenges and opportunities
Swati Sharda, Mukhtiar Singh, Kapil Sharma
Sustainable Cities and Society, 2021
A Review on Enhanced Techniques for Multimodal Fake News Detection
Vidhu Tanwar, Kapil Sharma
Lecture Notes in Electrical Engineering, 2021
A study on optimization of sparse and dense linear system solver over GF(2) on GPUs
Prashant Verma, Kapil Sharma
Lecture Notes in Networks and Systems, 2021
Retinal Vessel Detection Using Residual Y-net
Anindita Roy, Kapil Sharma
2021 International Conference on Smart Generation Computing Communication and Networking Smart Gencon 2021, 2021
Reliability analysis and modeling of green computing based software systems
Sangeeta Malik, Kapil Sharma, Manju Bala
Recent Advances in Computer Science and Communications, 2021
A Study of Android Malware Detection Using Static Analysis
Kapil Sharma, Anish Singh, Prateek Arora
Lecture Notes on Data Engineering and Communications Technologies, 2021
Biometric System: Unimodal Versus Multibiometric Fusion and Its Current Applications: Review
Mahesh, Rahul Kumar, Kapil Sharma
Lecture Notes on Data Engineering and Communications Technologies, 2021
Movie recommendation to friends using whale optimization algorithm
Sachin Papneja, Kapil Sharma, Nitesh Khilwani
Recent Advances in Computer Science and Communications, 2021
Content recommendation based on topic modeling
Sachin Papneja, Kapil Sharma, Nitesh Khilwani
Advances in Intelligent Systems and Computing, 2021
Depression Detection Among Social Media Users Using Machine Learning
Prashant Verma, Kapil Sharma, Gurjit Singh Walia
Advances in Intelligent Systems and Computing, 2021
Prognosis of Human Epidermal Malignancy: A Machine learning Approach
Sarvesh Nishad, Rohit Rohit, Kapil Sharma
Proceedings 2021 3rd International Conference on Advances in Computing Communication Control and Networking Icac3n 2021, 2021
Recent trends in multicue based visual tracking: A review
Ashish Kumar, Gurjit Singh Walia, Kapil Sharma
Expert Systems with Applications, 2020
Robust object tracking based on adaptive multicue feature fusion
Ashish Kumar, Gurjit Singh Walia, Kapil Sharma
Journal of Electronic Imaging, 2020
A novel approach for multi-cue feature fusion for robust object tracking
Ashish Kumar, Gurjit Singh Walia, Kapil Sharma
Applied Intelligence, 2020
Real-time visual tracking via multi-cue based adaptive particle filter framework
Ashish Kumar, Gurjit Singh Walia, Kapil Sharma
Multimedia Tools and Applications, 2020
Robust object tracking with crow search optimized multi-cue particle filter
Gurjit Singh Walia, Ashish Kumar, Astitwa Saxena, Kapil Sharma, Kuldeep Singh
Pattern Analysis and Applications, 2020
Multi-Model Fake News Detection based on Concatenation of Visual Latent Features
Vidhu Tanwar, Kapil Sharma
Proceedings of the 2020 IEEE International Conference on Communication and Signal Processing Iccsp 2020, 2020
Ranking of Countries Using World Development Indicators: A Computational Approach
Arushi Gupta, Kapil Sharma
2020 11th International Conference on Computing Communication and Networking Technologies Icccnt 2020, 2020
Ranking of countries using R
Arushi Gupta, Sandeep Suri, Kapil Sharma
2020 International Conference for Emerging Technology Incet 2020, 2020
Frustration detection on reviews using machine learning
Sandeep Suri, Kapil Sharma, Sachin Papneja
2020 International Conference for Emerging Technology Incet 2020, 2020
Devising malware characteristics using transformers
Simra Shahid, Tanmay Singh, Yash Sharma, Kapil Sharma
International Journal of Engineering Trends and Technology, 2020
Unified Graph-Based Multicue Feature Fusion for Robust Visual Tracking
Gurjit Singh Walia, Himanshu Ahuja, Ashish Kumar, Nipun Bansal, Kapil Sharma
IEEE Transactions on Cybernetics, 2020
Intrusion detection systems: A Comparison of soft computing techniques
Anamika Chauhan, Kapil Sharma
Journal of Physics Conference Series, 2020
Quality based adaptive score fusion approach for multimodal biometric system
Keshav Gupta, Gurjit Singh Walia, Kapil Sharma
Applied Intelligence, 2020
Comparative analysis of ranking algorithms used on web
Sandeep Suri, Arushi Gupta, Kapil Sharma
Annals of Emerging Technologies in Computing, 2020
An ecological space based hybrid swarm-evolutionary algorithm for software reliability model parameter estimation
Sangeeta, Kapil Sharma, Manju Bala
International Journal of System Assurance Engineering and Management, 2020
Real-time multi-cue object tracking: Benchmark
Ashish Kumar, Gurjit Singh Walia, Kapil Sharma
Lecture Notes in Networks and Systems, 2020
A chaos-based multi-level dynamic framework for image encryption
Sakshi Dhall, Saibal K. Pal, Kapil Sharma
Internet of Things Iot Concepts and Applications, 2020
Highly scalable block cipher encryption in mapreduce-based distribution system
Prashant Verma, Gurjit Singh Walia, Kapil Sharma
Lecture Notes in Networks and Systems, 2020
Android Malware Detection based on Vulnerable Feature Aggregation
Arindaam Roy, Divjeet Singh Jas, Gitanjali Jaggi, Kapil Sharma
Procedia Computer Science, 2020
Android Malware Detection using LSI-based Reduced Opcode Feature Vector
Adarsh Kumar Singh, Gandharv Wadhwa, Mayank Ahuja, Keshav Soni, Kapil Sharma
Procedia Computer Science, 2020
An adaptive whale optimization algorithm guided smart city big data feature identification for fair resource utilization
Faculty of Engineering, Technology, M. D. University, Rohtak (Haryana), India., Kapil Sharma*, Sandeep Tayal, Assistant Professor, Department of Computer Science, Engineering, Maharaja Agrasen Institute of Technology, Delhi, India.
International Journal of Innovative Technology and Exploring Engineering, 2019
Multimodal Biometric System using Grasshopper Optimization
Keshav Gupta, Gurjit Singh Walia, Kapil Sharma
Proceedings 2019 International Conference on Computing Communication and Intelligent Systems Icccis 2019, 2019
Comparative study of ranking algorithms
Sandeep Suri, Arushi Gupta, Kapil Sharma
Proceedings 2019 International Conference on Computing Electronics and Communications Engineering Iccece 2019, 2019
The recommender systems model for smart cities
Sandeep Tayal, Kapil Sharma, D Goldberg, D Nichols, B Oki, et al.
International Journal of Recent Technology and Engineering, 2019
Consensus Algorithms in Blockchain Technology: A Survey
Kapil Sharma, Deepakshi Jain
2019 10th International Conference on Computing Communication and Networking Technologies Icccnt 2019, 2019
Indian smart city ranking model
Delhi Technological University, Delhi, India., Kapil Sharma, Sandeep Tayal, Delhi Technological University, Delhi, India.
International Journal of Recent Technology and Engineering, 2019
Parallel hybrid BBO search method for twitter sentiment analysis of large scale datasets using MapReduce
Ashish Kumar Tripathi, Kapil Sharma, Manju Bala
International Journal of Information Security and Privacy, 2019
Empirical Analysis of Shallow and Deep Architecture Classifiers on Emotion Recognition from Speech
Vaibhav Singh, Kapil Sharma
Proceedings 6th IEEE International Conference on Cyber Security and Cloud Computing Cscloud 2019 and 5th IEEE International Conference on Edge Computing and Scalable Cloud Edgecom 2019, 2019
5th generation millimeter wave wireless communication propagation losses dataset for indian metro cities based on corresponding weather conditions
S.K. Agrawal, Kapil Sharma
Data in Brief, 2019
A quantitative testing effort estimate for reliability assessment of multi release open source software systems
Sangeeta, Kapil Sharma, Manju Bala
Journal of Computational and Theoretical Nanoscience, 2019
A Novel Clustering Method Using Enhanced Grey Wolf Optimizer and MapReduce
Ashish Kumar Tripathi, Kapil Sharma, Manju Bala
Big Data Research, 2018
Robust stego-key directed LSB substitution scheme based upon cuckoo search and chaotic map
Gurjit Singh Walia, Shikhar Makhija, Kunwar Singh, Kapil Sharma
Optik, 2018
Dynamic frequency based parallel k-bat algorithm for massive data clustering (DFBPKBA)
Ashish Kumar Tripathi, Kapil Sharma, Manju Bala
International Journal of System Assurance Engineering and Management, 2018
Context aware personalized content recommendation using ontology based spreading activation
Sachin Papneja, Kapil Sharma, Nitesh Khilwani
International Journal of Information Technology Singapore, 2018
Cryptanalysis of image encryption scheme based on a new 1D chaotic system
Sakshi Dhall, Saibal K. Pal, Kapil Sharma
Signal Processing, 2018
A Survey on Malware Analysis Techniques for Android Using Permissions
12th Indiacom 5th International Conference on Computing for Sustainable Global Development Indiacom 2018, 2018
5G millimeter wave propagation with intelligent grid selection for obstacle avoidance
International Journal of Computer Information Systems and Industrial Management Applications, 2018
Millimeter wave channel capacity for 5 th generation software defined radio communication system in vegetation area
S.K. Agrawal, Kapil Sharma
International Journal of Sensors Wireless Communications and Control, 2018
Role of big data in make in India
Sandeep Tayal, Nishant Nagwal, Kapil Sharma
Advances in Intelligent Systems and Computing, 2018
A REVIEW ON CHALLENGES AND SCOPE OF SPATIAL DATA MINING
11th Indiacom 4th International Conference on Computing for Sustainable Global Development Indiacom 2017, 2017
MCDM based evaluation and ranking of commercial off-the-shelf using fuzzy based matrix method
Rakesh Garg, R. K. Sharma, Kapil Sharma, R. K. Garg
Decision Science Letters, 2017
Quality issues with big data analytics
Proceedings of the 10th Indiacom 2016 3rd International Conference on Computing for Sustainable Global Development Indiacom 2016, 2016
Tuning of software cost drivers using BAT algorithm
Proceedings of the 10th Indiacom 2016 3rd International Conference on Computing for Sustainable Global Development Indiacom 2016, 2016
5G millimeter wave (mmWave) communications
Proceedings of the 10th Indiacom 2016 3rd International Conference on Computing for Sustainable Global Development Indiacom 2016, 2016
Optimization of revenue generated by hydro power plant by Bat Algorithm(BA)
Proceedings of the 10th Indiacom 2016 3rd International Conference on Computing for Sustainable Global Development Indiacom 2016, 2016
Software bug localization using Pachinko Allocation Model
Proceedings of the 10th Indiacom 2016 3rd International Conference on Computing for Sustainable Global Development Indiacom 2016, 2016
Clustering based feature selection methods from fMRI data for classification of cognitive states of the human brain
Proceedings of the 10th Indiacom 2016 3rd International Conference on Computing for Sustainable Global Development Indiacom 2016, 2016
A new chaotic-primitive and its application in customizing AES for lightweight multimedia encryption
Proceedings of the 10th Indiacom 2016 3rd International Conference on Computing for Sustainable Global Development Indiacom 2016, 2016
A GPU implementation of a bat algorithm trained neural network
Amit Roy Choudhury, Rishabh Jain, Kapil Sharma
Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2016
Neural network-based automated priority assigner
Harsh Bhasin, Esha Khanna, Kapil Sharma
Advances in Intelligent Systems and Computing, 2016
Ranking and selection of commercial off-the-shelf using fuzzy distance based approach
Rakesh Garg, R. K. Sharma, Kapil Sharma
Decision Science Letters, 2016
Ranking of software reliability growth models using bacterial foraging optimization algorithm
2015 International Conference on Computing for Sustainable Global Development Indiacom 2015, 2015
A statistical view of software reliability and modeling
2015 International Conference on Computing for Sustainable Global Development Indiacom 2015, 2015
Improving software quality based on relationship among the change proneness and object oriented metrics
2015 International Conference on Computing for Sustainable Global Development Indiacom 2015, 2015
Optimizing intermediate COCOMO Model using BAT algorithm
2015 International Conference on Computing for Sustainable Global Development Indiacom 2015, 2015
Analysis and ranking of software Engineering metrics
2015 International Conference on Computing for Sustainable Global Development Indiacom 2015, 2015
Applications of artificial Bee Colony Optimization technique: Survey
2015 International Conference on Computing for Sustainable Global Development Indiacom 2015, 2015
5Unified software development process based classification of software reliability models
2015 International Conference on Computing for Sustainable Global Development Indiacom 2015, 2015
A comparative study of various text mining techniques
2015 International Conference on Computing for Sustainable Global Development Indiacom 2015, 2015
Secure cancelable fingerprint key generation
Aditi Bhatega, Kapil Sharma
Proceedings of 6th IEEE Power India International Conference Piicon 2014, 2014
Optimizing testing efforts based on change proneness through machine learning techniques
Ashish Kumar Tripathi, Kapil Sharma
Proceedings of 6th IEEE Power India International Conference Piicon 2014, 2014
Bayesian spam classification: Time efficient radix encoded fragmented database approach
Nishtha Jatana, Kapil Sharma
2014 International Conference on Computing for Sustainable Global Development Indiacom 2014, 2014
Improvised block cipher customized for multimedia security
Sakshi Dhall, Saibal K. Pal, Kapil Sharma
Proceedings of 6th IEEE Power India International Conference Piicon 2014, 2014
New lightweight conditional encryption schemes for multimedia
Sakshi Dhall, Saibal K. Pal, Kapil Sharma
Advances in Intelligent Systems and Computing, 2014
Ranking of software engineering metrics by fuzzy-based matrix methodology
R. K. Garg, Kapil Sharma, C. K. Nagpal, Rakesh Garg, Rajpal Garg, Rajive Kumar, Sandhya
Software Testing Verification and Reliability, 2013
Performance analysis of software reliability models using matrix method
World Academy of Science Engineering and Technology, 2010
Selection of optimal software reliability growth models using a distance based approach
Kapil Sharma, Rakesh Garg, C K Nagpal, R K Garg
IEEE Transactions on Reliability, 2010

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