Anil Kumar Yadav

21 papers Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Biological big data analysis in the post-genomic era: applications and limitations.
Netw. Model. Anal. Health Informatics Bioinform.
Shubham Pant, Jyoti Kant Choudhari, Rajesh Kumar Pathak, Anil Kumar Yadav, Dev Bukhsh Singh
2026 J jnl
Reinforcement Learning-Based Intelligent Path Planning for Optimal Navigation in Dynamic Environments.
Neural Process. Lett.
Anil Kumar Yadav, Purushottam Sharma, Xiaochun Cheng, Shiv Shankar Prasad Shukla
2026 J jnl
Towards automated crop protection: fusion of densenet121-resnet50 model for disease detection and pest recognition.
Int. J. Syst. Assur. Eng. Manag.
Vedansh Sood, Shiv Shankar Prasad Shukla, Anil Kumar Yadav, Sparsh Tiwari, Yashashvi Srivastava
2025 J jnl
Hybrid Reinforcement Learning With Optimized SARSA for Improved Face Recognition Systems.
J. Electr. Comput. Eng.
Anil Kumar Yadav, Purushottam Sharma, Xiaochun Cheng, Nirmal Kumar Gupta
2025 J jnl
Observational constraints using Bayesian Statistics and deep learning in Kaniadakis holographic dark energy.
Astron. Comput.
Kapil, Lokesh Kumar Sharma, Anil Kumar Yadav
2025 J jnl
Resilient fractional-order fuzzy-based tilt control of renewable-dominated hybrid power system.
Neural Comput. Appl.
Sneha V. Sah, Vivek Prakash, Pawan Kumar Pathak, Anil Kumar Yadav
2025 J jnl
Robust IMC for Time Delay Attack Compensation of Renewable Supported Power System.
IEEE Trans Autom. Sci. Eng.
Pawan Kumar Pathak, Anil Kumar Yadav, Innocent Kamwa
2025 J jnl
Unmasking the True Identity: Unveiling the Secrets of Virtual Private Networks and Proxies.
Inf.
Vikas Kumar Jain, Jatin Aggrawal, Ramraj Dangi, Shiv Shankar Prasad Shukla, Anil Kumar Yadav, Gaurav Choudhary
2024 J jnl
A comprehensive analysis of observational cosmology in f(Q) gravity with deep learning and MCMC method.
Astron. Comput.
L. K. Sharma, S. Parekh, Anil Kumar Yadav, N. Goyal
2024 J jnl
Asymmetric enciphering of images using affine transform and fractional Fourier transform.
Int. J. Adv. Intell. Paradigms
Savita Anjana, Indu Saini, Phool Singh, Anil Kumar Yadav
2024 J jnl
Fourth wave Covid19 analyzing using mathematical seirs epidemic model & deep neural network.
Multim. Tools Appl.
Shiv Shankar Prasad Shukla, Vikas Kumar Jain, Anil Kumar Yadav, Samir Kumar Pandey
2024 J jnl
Predicting global horizontal irradiance of north central region of India via machine learning regressor algorithms.
Eng. Appl. Artif. Intell.
Rahul Gupta, Anil Kumar Yadav, S. K. Jha, Pawan Kumar Pathak
2023 J jnl
A State-of-the-Art Review on Heat Extraction Methodologies of Photovoltaic/Thermal System.
IEEE Access
Pawan Kumar Pathak, Debasmita Ghosh Roy, Anil Kumar Yadav, Sanjeevikumar Padmanaban, Frede Blaabjerg, Baseem Khan
2023 J jnl
BWOA based metaheuristic approach for uncertain nonlinear milling CNC machine system.
Expert Syst. J. Knowl. Eng.
Pawan Kumar Pathak, Anil Kumar Yadav, Anshuman Shastri
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
A state-of-the-art review on shading mitigation techniques in solar photovoltaics via meta-heuristic approach.
Neural Comput. Appl.
Pawan Kumar Pathak, Anil Kumar Yadav, P. A. Alvi
2022 J jnl
Fractional Cascade LFC for Distributed Energy Sources via Advanced Optimization Technique Under High Renewable Shares.
IEEE Access
Pawan Kumar Pathak, Anil Kumar Yadav, Sanjeevikumar Padmanaban, Innocent Kamwa
2022 — conf
Implementation of SARSA-HMM Technique for Face Recognition.
MIND (2)
Anil Kumar Yadav, Shiv Shankar Prasad Shukla, Vikas Kumar Jain, Rajesh Kumar Pateriya
2021 — conf
e-Epidemic Model on Covid-19: A Fuzzy Approach.
IC3
Samir Kumar Pandey, Shiv Shankar Prasad Shukla, Anil Kumar Yadav, Dharmveer Singh Rajpoot
2017 J jnl
Analysis of Lorenz-chaos and exclusive-OR based image encryption scheme.
Int. J. Soc. Comput. Cyber Phys. Syst.
Indu Saini, Phool Singh, Anil Kumar Yadav
2010 — conf
Evaluation of reinforcement learning techniques.
IITM
Anil Kumar Yadav, Shaillendra Kumar Shrivastava