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Rakesh Kumar Yadav
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2020 – today
- 2024
- [j16]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): 120 (2024) - [j15]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): 128 (2024) - [j14]Rakesh Kumar Yadav, Himanshu B. Mishra, Samrat Mukhopadhyay, Rahul Mishra:
IRS-OTFS Systems: Design of Reflection Coefficients for Low-Complexity ZF Equalizer. IEEE Trans. Veh. Technol. 73(10): 15721-15726 (2024) - 2023
- [j13]Abhishek, Rakesh Kumar Yadav, Shekhar Verma:
Semi-supervised learning with dropouts. Expert Syst. Appl. 215: 119235 (2023) - [j12]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): 3925-3936 (2023) - [j11]Abhishek, Rakesh Kumar Yadav, Shekhar Verma:
Parzen Window Approximation on Riemannian Manifold. Pattern Recognit. 134: 109081 (2023) - [j10]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): 2376-2386 (2023) - 2022
- [j9]Rakesh Kumar Yadav, Rajendra Prasad Mahapatra:
Hybrid metaheuristic algorithm for optimal cluster head selection in wireless sensor network. Pervasive Mob. Comput. 79: 101504 (2022) - [j8]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): 1198-1204 (2022) - [j7]Vijay Kumar Yadav, Rakesh Kumar Yadav, Shekhar Verma, S. Venkatesan:
CP2EH: a comprehensive privacy-preserving e-health scheme over cloud. J. Supercomput. 78(2): 2386-2416 (2022) - 2021
- [j6]Rakesh Kumar Yadav, Abhishek, Shekhar Verma, S. Venkatesan:
Cross-covariance based affinity for graphs. Appl. Intell. 51(6): 3844-3864 (2021) - [j5]Rakesh Kumar Yadav, Rajendra Prasad Mahapatra:
Energy aware optimized clustering for hierarchical routing in wireless sensor network. Comput. Sci. Rev. 41: 100417 (2021) - [j4]Rakesh Kumar Yadav, Abhishek, Vijay Kumar Yadav, Shekhar Verma, S. Venkatesan:
HSIC-based affinity measure for learning on graphs. Pattern Anal. Appl. 24(4): 1667-1683 (2021) - [j3]Abhishek, Rakesh Kumar Yadav, Shekhar Verma, S. Venkatesan:
iHRNL: Iterative Hessian-based manifold regularization mechanism for localization in WSN. J. Supercomput. 77(10): 12026-12049 (2021) - 2020
- [j2]Rakesh Kumar Yadav, Abhishek, Shekhar Verma, S. Venkatesan:
Regularization on a rapidly varying manifold. Int. J. Mach. Learn. Cybern. 11(7): 1571-1590 (2020) - [c2]Rakesh Kumar Yadav, Manikanta Moghili, Abhishek, Prashant Shukla, Shekhar Verma:
Ensemble Based Graph Convolutional Network for Semi Supervised Learning. CVIP (3) 2020: 443-451 - [c1]Rakesh Kumar Yadav, Abhishek, Sourav S, Shekhar Verma:
GCN with Clustering Coefficients and Attention Module. ICMLA 2020: 185-190
2010 – 2019
- 2014
- [j1]Rakesh Kumar Yadav, Sushrut Das, Ram Lal Yadava:
Analysis and modelling of a novel compact rectenna for indoor applications. IET Commun. 8(15): 2642-2651 (2014) - 2011
- [i1]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 abs/1104.0824 (2011)
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last updated on 2024-10-25 21:18 CEST by the dblp team
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