Rakesh Kumar Yadav

27 papers C 1Journal 20Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
IoT botnet attack detection of ensemble classifier of customised POA optimisation.
Int. J. Bio Inspired Comput.
Rakesh Kumar Yadav, Sunil Kumar, Chandan Kumar Sonkar, Rajendra Prasad Mahapatra
2025 J jnl
Deep Learning-Driven Pectoral Muscle Detection and Elimination in Digital Mammograms Using U-Net Architecture.
Adv. Artif. Intell. Mach. Learn.
Santoresh Kumari Dhimann, Rakesh Kumar Yadav
2025 — conf
Enabling Distributed Deep Learning frameworks on Trinetra-A Network.
HiPCW
Shruti Sharma, Rakesh Kumar Yadav, Yogeshwar Sonawane, Sanjay Wandhekar
2025 — conf
Hardware Emulation Framework for HPC Network.
CLUSTER Workshops
Mahesh Chaudhari, Rakesh Kumar Yadav, Yogeshwar Sonawane, Sanjay Wandhekar
2025 J jnl
Patch-Based Mammogram Cancer Detection Using Attention-Driven CNNs.
Adv. Artif. Intell. Mach. Learn.
Santoresh Kumari Dhimann, Rakesh Kumar Yadav
2025 — conf
Performance Characterization of Trinetra-A HPC Network Using MPI Benchmarks.
CLUSTER Workshops
Rakesh Kumar Yadav, Pratik Shelar, Yogeshwar Sonawane, Sanjay Wandhekar
2024 — conf
An Analysis of Scalable Routing Protocols for Large-Scale Communications.
ICCCNT
K. N. Raja Praveen, Rakesh Kumar Yadav, Durgesh Wadhwa
2024 J jnl
Correction: VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images.
BMC Medical Imaging
Anindita Saha, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Rakesh Kumar Yadav, Saurav Mallik, Zhongming Zhao
2024 J jnl
IRS-OTFS Systems: Design of Reflection Coefficients for Low-Complexity ZF Equalizer.
IEEE Trans. Veh. Technol.
Rakesh Kumar Yadav, Himanshu B. Mishra, Samrat Mukhopadhyay, Rahul Mishra
2024 — conf
Symmetric Applied Cryptography for Secure Instant Messaging.
ICCCNT
M. K. Ranganathaswamy, Rakesh Kumar Yadav, Aishwary Awasthi
2024 J jnl
VER-Net: a hybrid transfer learning model for lung cancer detection using CT scan images.
BMC Medical Imaging
Anindita Saha, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Rakesh Kumar Yadav, Saurav Mallik, Zhongming Zhao
2023 J jnl
A mathematical model based on modified ID3 algorithm for healthcare diagnostics model.
Int. J. Syst. Assur. Eng. Manag.
Arun Agarwal, Khushboo Jain, Rakesh Kumar Yadav
2023 J jnl
Low-rank GAT: toward robust quantification of neighborhood influence.
Neural Comput. Appl.
Rakesh Kumar Yadav, Abhishek, Abhishek Verma, Prashant Shukla, Katyayani Verma, Shekhar Verma
2023 J jnl
Parzen Window Approximation on Riemannian Manifold.
Pattern Recognit.
Abhishek, Rakesh Kumar Yadav, Shekhar Verma
2023 J jnl
Semi-supervised learning with dropouts.
Expert Syst. Appl.
Abhishek, Rakesh Kumar Yadav, Shekhar Verma
2022 J jnl
A novel algorithm for wireless sensor network routing protocols based on reinforcement learning.
Int. J. Syst. Assur. Eng. Manag.
Anil Kumar Yadav, Purushottam Sharma, Rakesh Kumar Yadav
2022 J jnl
CP2EH: a comprehensive privacy-preserving e-health scheme over cloud.
J. Supercomput.
Vijay Kumar Yadav, Rakesh Kumar Yadav, Shekhar Verma, S. Venkatesan
2022 J jnl
Hybrid metaheuristic algorithm for optimal cluster head selection in wireless sensor network.
Pervasive Mob. Comput.
Rakesh Kumar Yadav, Rajendra Prasad Mahapatra
2021 J jnl
Cross-covariance based affinity for graphs.
Appl. Intell.
Rakesh Kumar Yadav, Abhishek, Shekhar Verma, S. Venkatesan
2021 J jnl
Energy aware optimized clustering for hierarchical routing in wireless sensor network.
Comput. Sci. Rev.
Rakesh Kumar Yadav, Rajendra Prasad Mahapatra
2021 J jnl
HSIC-based affinity measure for learning on graphs.
Pattern Anal. Appl.
Rakesh Kumar Yadav, Abhishek, Vijay Kumar Yadav, Shekhar Verma, S. Venkatesan
2021 J jnl
iHRNL: Iterative Hessian-based manifold regularization mechanism for localization in WSN.
J. Supercomput.
Abhishek, Rakesh Kumar Yadav, Shekhar Verma, S. Venkatesan
2020 — conf
Ensemble Based Graph Convolutional Network for Semi Supervised Learning.
CVIP (3)
Rakesh Kumar Yadav, Manikanta Moghili, Abhishek, Prashant Shukla, Shekhar Verma
2020 C conf
GCN with Clustering Coefficients and Attention Module.
ICMLA
Rakesh Kumar Yadav, Abhishek, Sourav S, Shekhar Verma
2020 J jnl
Regularization on a rapidly varying manifold.
Int. J. Mach. Learn. Cybern.
Rakesh Kumar Yadav, Abhishek, Shekhar Verma, S. Venkatesan
2014 J jnl
Analysis and modelling of a novel compact rectenna for indoor applications.
IET Commun.
Rakesh Kumar Yadav, Sushrut Das, Ram Lal Yadava
2011 J jnl
Performance evaluation of FD-SOI Mosfets for different metal gate work function
CoRR
Deepesh Ranka, Ashwani K. Rana, Rakesh Kumar Yadav, Kamalesh Yadav, Devendra Giri