Rakesh Kumar Yadav

According to our database, Rakesh Kumar Yadav authored at least 19 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, December, 2024

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, December, 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., October, 2024

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., December, 2023

Semi-supervised learning with dropouts.

Abhishek, Rakesh Kumar Yadav, Shekhar Verma

Expert Syst. Appl., April, 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., February, 2023

Parzen Window Approximation on Riemannian Manifold.

Abhishek, Rakesh Kumar Yadav, Shekhar Verma

Pattern Recognit., 2023

2022

CP2EH: a comprehensive privacy-preserving e-health scheme over cloud.

Vijay Kumar Yadav, Rakesh Kumar Yadav, Shekhar Verma, S. Venkatesan

J. Supercomput., 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

Hybrid metaheuristic algorithm for optimal cluster head selection in wireless sensor network.

Rakesh Kumar Yadav, Rajendra Prasad Mahapatra

Pervasive Mob. Comput., 2022

2021

iHRNL: Iterative Hessian-based manifold regularization mechanism for localization in WSN.

Abhishek, Rakesh Kumar Yadav, Shekhar Verma, S. Venkatesan

J. Supercomput., 2021

HSIC-based affinity measure for learning on graphs.

Rakesh Kumar Yadav, Abhishek, Vijay Kumar Yadav, Shekhar Verma, S. Venkatesan

Pattern Anal. Appl., 2021

Energy aware optimized clustering for hierarchical routing in wireless sensor network.

Rakesh Kumar Yadav, Rajendra Prasad Mahapatra

Comput. Sci. Rev., 2021

Cross-covariance based affinity for graphs.

Rakesh Kumar Yadav, Abhishek, Shekhar Verma, S. Venkatesan

Appl. Intell., 2021

2020

Regularization on a rapidly varying manifold.

Rakesh Kumar Yadav, Abhishek, Shekhar Verma, S. Venkatesan

Int. J. Mach. Learn. Cybern., 2020

GCN with Clustering Coefficients and Attention Module.

Rakesh Kumar Yadav, Abhishek, Sourav S, Shekhar Verma

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Ensemble Based Graph Convolutional Network for Semi Supervised Learning.

Rakesh Kumar Yadav, Manikanta Moghili, Abhishek, Prashant Shukla, Shekhar Verma

Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020

2014

Analysis and modelling of a novel compact rectenna for indoor applications.

Rakesh Kumar Yadav, Sushrut Das, Ram Lal Yadava

IET Commun., 2014

2011

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