Deepak Kumar

According to our database, Deepak Kumar authored at least 15 papers between 2019 and 2025.

Collaborative distances:

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

2025

Development and integration of control strategy for level-2 autonomous vehicle lane-keeping assist system.

Roushan Kumar, Adesh Kumar, Jitendra Yadav, Chaman Verma, Zoltán Illés, Deepak Kumar

Discov. Comput., December, 2025

LivXAI-Net: An explainable AI framework for liver disease diagnosis with IoT-based real-time monitoring support.

Deepak Kumar, Brijesh Bakariya, Chaman Verma, Zoltán Illés

Comput. Methods Programs Biomed., 2025

2024

An investigation of novel features for predicting student happiness in hybrid learning platforms - An exploration using experiments on trace data.

Chaman Verma, Zoltán Illés, Deepak Kumar

Int. J. Inf. Manag. Data Insights, 2024

TCLPI: Machine Learning-Driven Framework for Hybrid Learning Mode Identification.

Chaman Verma, Zoltán Illés, Deepak Kumar

IEEE Access, 2024

2023

Demographic and Clinical Factors Role Identification in Stroke Risk and Subtype Prediction.

Deepak Kumar, Chaman Verma, Purushottam Sharma, Deeksha Kumari, Zoltán Illés

Int. J. Perform. Eng., 2023

goldenAGER: A Personalized Feature Fusion Activity Recognition Model for Elderly.

Diana Nagpal, Shikha Gupta, Deepak Kumar, Zoltán Illés, Chaman Verma, Barnali Dey

IEEE Access, 2023

Anomaly Detection in Chest X-Ray Images using Variational Autoencoder.

Deepak Kumar, Chaman Verma, Zoltán Illés, Arun Mittal, Brijesh Bakariya, S. B. Goyal

Proceedings of the 6th International Conference on Contemporary Computing and Informatics, 2023

Optimal Sizing of Security Constrained Unit Commitment Problem Integrated with Renewable Energy Sources and PEVs.

Pravin G. Dhawale, Vikram Kumar Kamboj, S. K. Bath, Chaman Verma, Maria Simona Raboaca, Constantin Filote, Deepak Kumar

Proceedings of the 15th International Conference on Electronics, 2023

2022

A Liquefaction Study Using ENN, CA, and Biogeography Optimized-Based ANFIS Technique.

Sujeet K. Umar, Sunita Kumari, Pijush Samui, Deepak Kumar

Int. J. Appl. Metaheuristic Comput., 2022

Proposing several hybrid PSO-extreme learning machine techniques to predict TBM performance.

Jie Zeng, Bishwajit Roy, Deepak Kumar, Ahmed Salih Mohammed, Danial Jahed Armaghani, Jian Zhou, Edy Tonnizam Mohamad

Eng. Comput., 2022

2021

Cardiac Diagnostic Feature and Demographic Identification (CDF-DI): An IoT Enabled Healthcare Framework Using Machine Learning.

Deepak Kumar, Chaman Verma, Sanjay Dahiya, Pradeep Kumar Singh, Maria Simona Raboaca, Zoltán Illés, Brijesh Bakariya

Sensors, 2021

A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine.

Danial Jahed Armaghani, Deepak Kumar, Pijush Samui, Mahdi Hasanipanah, Bishwajit Roy

Eng. Comput., 2021

2020

Advanced soft computing techniques for predicting soil compression coefficient in engineering project: a comparative study.

Viet-Ha Nhu, Pijush Samui, Deepak Kumar, Anshuman Singh, Nhat-Duc Hoang, Dieu Tien Bui

Eng. Comput., 2020

Predicting groundwater depth fluctuations using deep learning, extreme learning machine and Gaussian process: a comparative study.

Deepak Kumar, Roshni Thendiyath, Anshuman Singh, Madan Kumar Jha, Pijush Samui

Earth Sci. Informatics, 2020

2019

3D Multilayer Mesh NoC Communication and FPGA Synthesis.

Adesh Kumar, Gaurav Verma, Mukul Kumar Gupta, Mohammad Salauddin, B. Khaleelu Rehman, Deepak Kumar

Wirel. Pers. Commun., 2019