| 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 | 30 | 2019 |
| 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 | 23 | 2023 |
| Accelerated Fire Detection and Localization at Edge A Mukherjee, J Mondal, S Dey ACM Transactions on Embedded Computing Systems 21 (6), 1-27, 2022 | 2 | 2022 |
| 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 | 1 | 2019 |
| 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 |
