Rakeshkumar V. Mahto

According to our database, Rakeshkumar V. Mahto authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Early Detection of At-Risk Students Using Machine Learning.

Azucena Lizbeth Jimenez Martinez, Kanika Sood, Rakeshkumar V. Mahto

CoRR, 2024

HIV Progression and Outcome Prediction to Enhance Patient Matching for Clinical Trials.

Rakeshkumar V. Mahto, Kanika Sood

Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

Advancing Occupancy Detection through Deep Learning and Sensor Integration.

Rakeshkumar V. Mahto, Kanika Sood

Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

2023

Deep Multi-Branch CNN Architecture for Early Alzheimer's Detection from Brain MRIs.

Paul K. Mandal, Rakeshkumar V. Mahto

Sensors, October, 2023

Random Forest Empowered Shade and Fault Detection in Photovoltaic Panel.

Rakeshkumar V. Mahto, Kanika Sood, Nathaniel Ruppert

Proceedings of the 14th IEEE Annual Ubiquitous Computing, 2023

Harnessing the Power of Neural Networks for Predicting Shading.

Rakeshkumar V. Mahto, Kanika Sood

Proceedings of the IEEE Global Humanitarian Technology Conference, 2023

2022

Partial Shading and Fault Simulation Dataset of Photovoltaics Module.

Kanika Sood, Nate Ruppert, Rakeshkumar V. Mahto

Dataset, October, 2022

An FNet based Auto Encoder for Long Sequence News Story Generation.

Paul K. Mandal, Rakeshkumar V. Mahto

CoRR, 2022

2021

Fuzzy Logic Based MPT Algorithm for Reconfigurable Photovoltaics.

Rakeshkumar V. Mahto, Nate Ruppert, Aaron Nguyen, Gaurav Kalotra

Proceedings of the IEEE Global Humanitarian Technology Conference, 2021