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Rakeshkumar V. Mahto

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2024
[c5]
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Rakeshkumar V. Mahto, Kanika Sood:
Advancing Occupancy Detection through Deep Learning and Sensor Integration. CCWC 2024: 173-177
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Rakeshkumar V. Mahto, Kanika Sood:
HIV Progression and Outcome Prediction to Enhance Patient Matching for Clinical Trials. CCWC 2024: 278-284
2023
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  - journals/sensors/MandalM23
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Paul K. Mandal, Rakeshkumar V. Mahto:
Deep Multi-Branch CNN Architecture for Early Alzheimer's Detection from Brain MRIs. Sensors 23(19): 8192 (2023)
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Rakeshkumar V. Mahto, Kanika Sood:
Harnessing the Power of Neural Networks for Predicting Shading. GHTC 2023: 327-333
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Rakeshkumar V. Mahto, Kanika Sood, Nathaniel Ruppert:
Random Forest Empowered Shade and Fault Detection in Photovoltaic Panel. UEMCON 2023: 812-820
2022
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Kanika Sood, Nate Ruppert, Rakeshkumar V. Mahto:
Partial Shading and Fault Simulation Dataset of Photovoltaics Module. IEEE DataPort, 2022
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  - journals/corr/abs-2210-12331
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Paul K. Mandal, Rakeshkumar V. Mahto:
Deep Multi-Branch CNN Architecture for Early Alzheimer's Detection from Brain MRIs. CoRR abs/2210.12331 (2022)
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  - journals/corr/abs-2211-08295
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Paul K. Mandal, Rakeshkumar V. Mahto:
An FNet based Auto Encoder for Long Sequence News Story Generation. CoRR abs/2211.08295 (2022)
2021
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Rakeshkumar V. Mahto, Nate Ruppert, Aaron Nguyen, Gaurav Kalotra:
Fuzzy Logic Based MPT Algorithm for Reconfigurable Photovoltaics. GHTC 2021: 356-359

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