VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images - Anindita Saha; Shahid Mohammad Ganie; Pijush Kanti Dutta Pramanik; Rakesh Kumar Yadav; Saurav Mallik; Zhongming Zhao (BMC Medical Imaging, 2024)

Correction: VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images - Anindita Saha; Shahid Mohammad Ganie; Pijush Kanti Dutta Pramanik; Rakesh Kumar Yadav; Saurav Mallik; Zhongming Zhao (BMC Medical Imaging, 2024)

IRS-OTFS Systems: Design of Reflection Coefficients for Low-Complexity ZF Equalizer - Rakesh Kumar Yadav; Himanshu B. Mishra; Samrat Mukhopadhyay; Rahul Mishra (IEEE Trans. Veh. Technol., 2024)

Semi-supervised learning with dropouts - Abhishek; Rakesh Kumar Yadav; Shekhar Verma (Expert Syst. Appl., 2023)

Low-rank GAT: toward robust quantification of neighborhood influence - Rakesh Kumar Yadav; Abhishek; Abhishek Verma; Prashant Shukla; Katyayani Verma; Shekhar Verma (Neural Comput. Appl., 2023)

Parzen Window Approximation on Riemannian Manifold - Abhishek; Rakesh Kumar Yadav; Shekhar Verma (Pattern Recognit., 2023)

A mathematical model based on modified ID3 algorithm for healthcare diagnostics model - Arun Agarwal; Khushboo Jain; Rakesh Kumar Yadav (Int. J. Syst. Assur. Eng. Manag., 2023)

Hybrid metaheuristic algorithm for optimal cluster head selection in wireless sensor network - Rakesh Kumar Yadav; Rajendra Prasad Mahapatra (Pervasive Mob. Comput., 2022)

A novel algorithm for wireless sensor network routing protocols based on reinforcement learning - Anil Kumar Yadav; Purushottam Sharma; Rakesh Kumar Yadav (Int. J. Syst. Assur. Eng. Manag., 2022)

CP2EH: a comprehensive privacy-preserving e-health scheme over cloud - Vijay Kumar Yadav; Rakesh Kumar Yadav; Shekhar Verma; S. Venkatesan (J. Supercomput., 2022)

Cross-covariance based affinity for graphs - Rakesh Kumar Yadav; Abhishek; Shekhar Verma; S. Venkatesan (Appl. Intell., 2021)

Energy aware optimized clustering for hierarchical routing in wireless sensor network - Rakesh Kumar Yadav; Rajendra Prasad Mahapatra (Comput. Sci. Rev., 2021)

HSIC-based affinity measure for learning on graphs - Rakesh Kumar Yadav; Abhishek; Vijay Kumar Yadav; Shekhar Verma; S. Venkatesan (Pattern Anal. Appl., 2021)

iHRNL: Iterative Hessian-based manifold regularization mechanism for localization in WSN - Abhishek; Rakesh Kumar Yadav; Shekhar Verma; S. Venkatesan (J. Supercomput., 2021)

Regularization on a rapidly varying manifold - Rakesh Kumar Yadav; Abhishek; Shekhar Verma; S. Venkatesan (Int. J. Mach. Learn. Cybern., 2020)

Ensemble Based Graph Convolutional Network for Semi Supervised Learning - Rakesh Kumar Yadav; Manikanta Moghili; Abhishek; Prashant Shukla; Shekhar Verma (Computer Vision and Image Processing - 5th International Conference, CVIP 2020, Prayagraj, India, December 4-6, 2020, Revised Selected Papers, Part III, 2020)

GCN with Clustering Coefficients and Attention Module - Rakesh Kumar Yadav; Abhishek; Sourav S; Shekhar Verma (19th IEEE International Conference on Machine Learning and Applications, ICMLA 2020, Miami, FL, USA, December 14-17, 2020, 2020)

Analysis and modelling of a novel compact rectenna for indoor applications - Rakesh Kumar Yadav; Sushrut Das; Ram Lal Yadava (IET Commun., 2014)

Performance evaluation of FD-SOI Mosfets for different metal gate work function - Deepesh Ranka; Ashwani K. Rana; Rakesh Kumar Yadav; Kamalesh Yadav; Devendra Giri (CoRR, 2011)