Deepak Kumar

16 papers A 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Optimizing student job placements with NLP and Explainable AI: A fair and transparent hiring framework.
Array
Deepak Kumar, Chaman Verma, Zoltán Illés
2025 J jnl
Development and integration of control strategy for level-2 autonomous vehicle lane-keeping assist system.
Discov. Comput.
Roushan Kumar, Adesh Kumar, Jitendra Yadav, Chaman Verma, Zoltán Illés, Deepak Kumar
2025 J jnl
LivXAI-Net: An explainable AI framework for liver disease diagnosis with IoT-based real-time monitoring support.
Comput. Methods Programs Biomed.
Deepak Kumar, Brijesh Bakariya, Chaman Verma, Zoltán Illés
2024 J jnl
An investigation of novel features for predicting student happiness in hybrid learning platforms - An exploration using experiments on trace data.
Int. J. Inf. Manag. Data Insights
Chaman Verma, Zoltán Illés, Deepak Kumar
2024 J jnl
TCLPI: Machine Learning-Driven Framework for Hybrid Learning Mode Identification.
IEEE Access
Chaman Verma, Zoltán Illés, Deepak Kumar
2023 — conf
Anomaly Detection in Chest X-Ray Images using Variational Autoencoder.
IC3I
Deepak Kumar, Chaman Verma, Zoltán Illés, Arun Mittal, Brijesh Bakariya, S. B. Goyal
2023 J jnl
Demographic and Clinical Factors Role Identification in Stroke Risk and Subtype Prediction.
Int. J. Perform. Eng.
Deepak Kumar, Chaman Verma, Purushottam Sharma, Deeksha Kumari, Zoltán Illés
2023 A conf
Optimal Sizing of Security Constrained Unit Commitment Problem Integrated with Renewable Energy Sources and PEVs.
ECAI
Pravin G. Dhawale, Vikram Kumar Kamboj, S. K. Bath, Chaman Verma, Maria Simona Raboaca, Constantin Filote, Deepak Kumar
2023 J jnl
goldenAGER: A Personalized Feature Fusion Activity Recognition Model for Elderly.
IEEE Access
Diana Nagpal, Shikha Gupta, Deepak Kumar, Zoltán Illés, Chaman Verma, Barnali Dey
2022 J jnl
A Liquefaction Study Using ENN, CA, and Biogeography Optimized-Based ANFIS Technique.
Int. J. Appl. Metaheuristic Comput.
Sujeet K. Umar, Sunita Kumari, Pijush Samui, Deepak Kumar
2022 J jnl
Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance.
Eng. Comput.
Jie Zeng, Bishwajit Roy, Deepak Kumar, Ahmed Salih Mohammed, Danial Jahed Armaghani, Jian Zhou, Edy Tonnizam Mohamad
2021 J jnl
A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine.
Eng. Comput.
Danial Jahed Armaghani, Deepak Kumar, Pijush Samui, Mahdi Hasanipanah, Bishwajit Roy
2021 J jnl
Cardiac Diagnostic Feature and Demographic Identification (CDF-DI): An IoT Enabled Healthcare Framework Using Machine Learning.
Sensors
Deepak Kumar, Chaman Verma, Sanjay Dahiya, Pradeep Kumar Singh, Maria Simona Raboaca, Zoltán Illés, Brijesh Bakariya
2020 J jnl
Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study.
Eng. Comput.
Viet-Ha Nhu, Pijush Samui, Deepak Kumar, Anshuman Singh, Nhat-Duc Hoang, Dieu Tien Bui
2020 J jnl
Predicting groundwater depth fluctuations using deep learning, extreme learning machine and Gaussian process: a comparative study.
Earth Sci. Informatics
Deepak Kumar, Roshni Thendiyath, Anshuman Singh, Madan Kumar Jha, Pijush Samui
2019 J jnl
3D Multilayer Mesh NoC Communication and FPGA Synthesis.
Wirel. Pers. Commun.
Adesh Kumar, Gaurav Verma, Mukul Kumar Gupta, Mohammad Salauddin, B. Khaleelu Rehman, Deepak Kumar