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Jayeeta Mondal
Jayeeta Mondal
Embedded Devices & Intelligent Systems @TCS Research | M. Tech @BITS Pilani | Guest faculty @IIM
Bestätigte E-Mail-Adresse bei tcs.com
Titel
Zitiert von
Zitiert von
Jahr
Offloaded execution of deep learning inference at edge: Challenges and insights
S Dey, J Mondal, A Mukherjee
2019 IEEE International Conference on Pervasive Computing and Communications …, 2019
302019
Computational solar energy–Ensemble learning methods for prediction of solar power generation based on meteorological parameters in Eastern India
D Chakraborty, J Mondal, HB Barua, A Bhattacharjee
Renewable Energy Focus 44, 277-294, 2023
212023
Accelerated Fire Detection and Localization at Edge
A Mukherjee, J Mondal, S Dey
ACM Transactions on Embedded Computing Systems 21 (6), 1-27, 2022
22022
Edge Acceleration of Deep Neural Networks
J Mondal, S Dey, A Mukherjee, J Dutta, A Pal, B P
Proceedings of the 17th Annual International Conference on Mobile Systems …, 2019
12019
Automated Heterogeneous Low-Bit Quantization of Multi-Model Deep Learning Inference Pipeline
J Mondal, S Dey, A Mukherjee
arXiv preprint arXiv:2311.05870, 2023
2023
VacciNet: Towards a Reinforcement Learning Based Smart Framework for Predicting the Distribution Chain Optimization of Vaccines for a Pandemic
J Mondal, J Dutta, HB Barua
Advanced AI and Internet of Health Things for Combating Pandemics, 337-358, 2023
2023
Integrated deep learning model for co-operative and cascaded inference on edge
S Dey, J Mondal, J Dutta, A Pal, A Mukherjee, B Purushothaman
US Patent App. 17/450,602, 2022
2022
Combining compression, partitioning and quantization of dl models for fitment in hardware processors
S Dey, A Pal, G Kulkarni, C Bhaumik, A Ukil, J Mondal, S Ishan, A Tyagi, ...
US Patent App. 17/447,625, 2022
2022
VacciNet: Towards a Smart Framework for Learning the Distribution Chain Optimization of Vaccines for a Pandemic
J Mondal, J Dutta, HB Barua
arXiv preprint arXiv:2208.01112, 2022
2022
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