Karan Kumar

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 6

Top Topics

Stochastic Process

Maximum Likelihood

Machine Learning

Top Venues

Frontiers Big Data

IET Cyper-Phys. Syst.: Theory & Appl.

Int. J. Distributed Syst. Technol.

Appl. Soft Comput.

Publications

Pooja Rani, Rohit Lamba, Ravi Kumar Sachdeva, Karan Kumar, Celestine Iwendi
A machine learning model for Alzheimer's disease prediction. IET Cyper-Phys. Syst.: Theory & Appl. 9 (2) (2024)
Rachna Mehta, Karan Kumar, Adi Alhudhaif, Fayadh Alenezi, Kemal Polat
An ensemble learning approach for resampling forgery detection using Markov process. Appl. Soft Comput. 147 (2023)
Ankit Songara, Pankaj Dhiman, Vipul Sharma, Karan Kumar
A Supervised Learning-Based Framework for Predicting COVID-19 in Patients. Int. J. Distributed Syst. Technol. 14 (1) (2023)
Sarvesh Tanwar, Neelam Gupta, Celestine Iwendi, Karan Kumar, Mamdouh Alenezi
Next Generation IoT and Blockchain Integration. J. Sensors 2022 (2022)
Mo Jia, Karan Kumar, Liam S. Mackey, Alexander Putra, Cristovao Vilela, Michael J. Wilking, Junjie Xia, Chiaki Yanagisawa, Karan Yang
Maximum Likelihood Reconstruction of Water Cherenkov Events With Deep Generative Neural Networks. Frontiers Big Data 5 (2022)
Karan Kumar, Nipun Batra
Solar Energy Forecasting Using Machine Learning. COMAD/CODS (2020)
Ajay Gulati, Chethan Kumar, Irfan Ahmad, Karan Kumar
BASIL: Automated IO Load Balancing Across Storage Devices. FAST (2010)