Rakesh Kumar Yadav

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 16

Top Topics

Manifold Regularization

Cancer Detection

Laplace Beltrami

Top Venues

BMC Medical Imaging

Int. J. Syst. Assur. Eng. Manag.

J. Supercomput.

Publications

Anindita Saha, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Rakesh Kumar Yadav, Saurav Mallik, Zhongming Zhao
VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images. BMC Medical Imaging 24 (1) (2024)
Anindita Saha, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Rakesh Kumar Yadav, Saurav Mallik, Zhongming Zhao
Correction: VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images. BMC Medical Imaging 24 (1) (2024)
Abhishek, Rakesh Kumar Yadav, Shekhar Verma
Semi-supervised learning with dropouts. Expert Syst. Appl. 215 (2023)
Rakesh Kumar Yadav, Abhishek, Abhishek Verma, Prashant Shukla, Katyayani Verma, Shekhar Verma
Low-rank GAT: toward robust quantification of neighborhood influence. Neural Comput. Appl. 35 (5) (2023)
Abhishek, Rakesh Kumar Yadav, Shekhar Verma
Parzen Window Approximation on Riemannian Manifold. Pattern Recognit. 134 (2023)
Arun Agarwal, Khushboo Jain, Rakesh Kumar Yadav
A mathematical model based on modified ID3 algorithm for healthcare diagnostics model. Int. J. Syst. Assur. Eng. Manag. 14 (6) (2023)
Anil Kumar Yadav, Purushottam Sharma, Rakesh Kumar Yadav
A novel algorithm for wireless sensor network routing protocols based on reinforcement learning. Int. J. Syst. Assur. Eng. Manag. 13 (3) (2022)
Vijay Kumar Yadav, Rakesh Kumar Yadav, Shekhar Verma, S. Venkatesan
CP2EH: a comprehensive privacy-preserving e-health scheme over cloud. J. Supercomput. 78 (2) (2022)
Rakesh Kumar Yadav, Rajendra Prasad Mahapatra
Hybrid metaheuristic algorithm for optimal cluster head selection in wireless sensor network. Pervasive Mob. Comput. 79 (2022)
Abhishek, Rakesh Kumar Yadav, Shekhar Verma, S. Venkatesan
iHRNL: Iterative Hessian-based manifold regularization mechanism for localization in WSN. J. Supercomput. 77 (10) (2021)
Rakesh Kumar Yadav, Abhishek, Shekhar Verma, S. Venkatesan
Cross-covariance based affinity for graphs. Appl. Intell. 51 (6) (2021)
Rakesh Kumar Yadav, Rajendra Prasad Mahapatra
Energy aware optimized clustering for hierarchical routing in wireless sensor network. Comput. Sci. Rev. 41 (2021)
Rakesh Kumar Yadav, Abhishek, Vijay Kumar Yadav, Shekhar Verma, S. Venkatesan
HSIC-based affinity measure for learning on graphs. Pattern Anal. Appl. 24 (4) (2021)
Rakesh Kumar Yadav, Abhishek, Sourav S, Shekhar Verma
GCN with Clustering Coefficients and Attention Module. ICMLA (2020)
Rakesh Kumar Yadav, Abhishek, Shekhar Verma, S. Venkatesan
Regularization on a rapidly varying manifold. Int. J. Mach. Learn. Cybern. 11 (7) (2020)
Rakesh Kumar Yadav, Manikanta Moghili, Abhishek, Prashant Shukla, Shekhar Verma
Ensemble Based Graph Convolutional Network for Semi Supervised Learning. CVIP (3) (2020)
Rakesh Kumar Yadav, Sushrut Das, Ram Lal Yadava
Analysis and modelling of a novel compact rectenna for indoor applications. IET Commun. 8 (15) (2014)
Deepesh Ranka, Ashwani K. Rana, Rakesh Kumar Yadav, Kamalesh Yadav, Devendra Giri
Performance evaluation of FD-SOI Mosfets for different metal gate work function CoRR (2011)