BASIL: Automated IO Load Balancing Across Storage Devices. - Ajay Gulati; Chethan Kumar; Irfan Ahmad 005; Karan Kumar (FAST, 2010)

Solar Energy Forecasting Using Machine Learning. - Karan Kumar; Nipun Batra 001 (COMAD/CODS, 2020)

Maximum Likelihood Reconstruction of Water Cherenkov Events With Deep Generative Neural Networks. - Mo Jia; Karan Kumar; Liam S. Mackey; Alexander Putra; Cristovao Vilela; Michael J. Wilking; Junjie Xia; Chiaki Yanagisawa; Karan Yang (Frontiers Big Data, 2022)

A Supervised Learning-Based Framework for Predicting COVID-19 in Patients. - Ankit Songara; Pankaj Dhiman; Vipul Sharma; Karan Kumar (Int. J. Distributed Syst. Technol., 2023)

An ensemble learning approach for resampling forgery detection using Markov process. - Rachna Mehta; Karan Kumar; Adi Alhudhaif; Fayadh Alenezi; Kemal Polat (Appl. Soft Comput., 2023)

An Improved Deep Learning Unsupervised Approach for MRI Tissue Segmentation for Alzheimer's Disease Detection. - Karan Kumar; Isha Suwalka; Adaora Uche-Ezennia; Celestine Iwendi; Cresantus N. Biamba (IEEE Access, 2024)

A machine learning model for Alzheimer's disease prediction. - Pooja Rani 004; Rohit Lamba; Ravi Kumar Sachdeva; Karan Kumar; Celestine Iwendi (IET Cyper-Phys. Syst.: Theory & Appl., 2024)

Early Diagnosis of Alzheimer's Disease Using Adaptive Neuro K-Means Clustering Technique. - Karan Kumar; Shweta Agrawal; Isha Suwalka; Celestine Iwendi; Cresantus N. Biamba (IEEE Access, 2025)

Triple voting: hybrid cardiovascular diseases prediction model. - Dahlak Daniel Solomon; Karan Kumar; Sonia; Kushal Kanwar; Kemal Polat (Int. J. Appl. Decis. Sci., 2025)