Estimation of centroid, ensembles, anomaly and association for the uniqueness of human footprint features. - Kapil Kumar Nagwanshi; Sipi Dubey (Int. J. Intell. Eng. Informatics, 2020)

Defective photonic bandgap crystals using Finite Difference Time Domain (FDTD). - Vivek S. Sharma; Kapil Kumar Nagwanshi (IEEE DataPort, 2020)

FESD: An Approach for Biometric Human Footprint Matching Using Fuzzy Ensemble Learning. - Shakila Basheer; Kapil Kumar Nagwanshi; Surbhi Bhatia; Sipi Dubey; Ganesh Ram Sinha (IEEE Access, 2021)

Effective Flow Table Space Management Using Policy-Based Routing Approach in Hybrid SDN Network. - Manish Paliwal; Kapil Kumar Nagwanshi (IEEE Access, 2022)

Image Restoration in Non-Linear Filtering Domain using MDB approach. - S. K. Satpathy; S. Panda; Kapil Kumar Nagwanshi; C. Ardil (CoRR, 2022)

Adaptive Non-linear Filtering Technique for Image Restoration. - S. K. Satpathy; S. Panda; Kapil Kumar Nagwanshi; S. K. Nayak; C. Ardil (CoRR, 2022)

Cyber-Forensic Review of Human Footprint and Gait for Personal Identification. - Kapil Kumar Nagwanshi (CoRR, 2022)

Study on Image Filtering - Techniques, Algorithm and Applications. - Bhishman Desai; Manish Paliwal; Kapil Kumar Nagwanshi (CoRR, 2022)

Topological Optimized Convolutional Visual Recurrent Network for Brain Tumor Segmentation and Classification. - Dhananjay Joshi; Kapil Kumar Nagwanshi; Nitin S. Choubey; Naveen Singh Rajput (CoRR, 2022)

An Empirical Study of Soft Computing Approaches in Wireless Sensor Networks. - Shahnawaz Ansari; Kapil Kumar Nagwanshi (J. Cases Inf. Technol., 2022)

WBCs-Net: type identification of white blood cells using convolutional neural network. - Neeraj Baghel; Upendra Verma; Kapil Kumar Nagwanshi (Multim. Tools Appl., 2022)

Classification of defects in photonic bandgap crystal using machine learning under microsoft AzureML environment. - Vivek S. Sharma; Kapil Kumar Nagwanshi; Ganesh Ram Sinha (Multim. Tools Appl., 2022)

Enhancing the Route Optimization Using Hybrid MAF Optimization Algorithm for the Internet of Vehicle. - Ritesh Dhanare; Kapil Kumar Nagwanshi; Sunita Varma (Wirel. Pers. Commun., 2022)

Biometric 220x6 Human footprint. - Kapil Kumar Nagwanshi; Sipi Dubey (IEEE DataPort, 2022)

Human footprint biometrics for personal identification using artificial neural networks. - Kapil Kumar Nagwanshi; Amit Kumar Gupta; Tilottama Goswami; Sunil Pathak; Maleika Heenaye-Mamode Khan (Int. J. Biom., 2023)

An efficient document information retrieval using hybrid global search optimization algorithm with density based clustering technique. - Bhushan Inje; Kapil Kumar Nagwanshi; Radha Krishna Rambola (Clust. Comput., 2024)

Classification of Plant Disease using a State-of-the Art Deep learning Algorithm on a Tesla GPU. - Manjit Jaiswal; Kapil Kumar Nagwanshi; Rishikesh Kumar; Shreyash Gaurav; Yukta Watti (Int. J. Comput., 2024)

WKNN-FDCNN method for big data driven traffic flow prediction in ITS. - Ravikant Soni; Partha Roy; Kapil Kumar Nagwanshi (Multim. Tools Appl., 2024)

An optimized secure cluster-based routing protocol for IoT-based WSN structures in smart agriculture with blockchain-based integrity checking. - Ashutosh Kumar Rao; Kapil Kumar Nagwanshi; Manoj Kumar Shukla (Peer Peer Netw. Appl., 2024)

Integrating pyramid vision transformer and topological data analysis for brain tumor. - Dhananjay Joshi; Bhupesh Kumar Singh; Kapil Kumar Nagwanshi; Nitin S. Choubey (Frontiers Comput. Sci., 2025)

Efficient cluster-based deep anomaly detection based traffic analysis and multi-objective optimization for smarter traffic control. - Ravikant Soni; Sunita Soni; Kapil Kumar Nagwanshi (Evol. Syst., 2025)

A multi-stream framework using spatial-temporal collaboration learning networks for violence and non-violence classification in complex video environments. - Barun Pandey; Upasana Sinha; Kapil Kumar Nagwanshi (Int. J. Mach. Learn. Cybern., 2025)