| Power consumption analysis, measurement, management, and issues: A state-of-the-art review of smartphone battery and energy usage PKD Pramanik, N Sinhababu, B Mukherjee, S Padmanaban, A Maity, ... ieee Access 7, 182113-182172, 2019 | 202 | 2019 |
| Hidden features identification for designing an efficient research article recommendation system A Chaudhuri, N Sinhababu, M Sarma, D Samanta International Journal on Digital Libraries 22 (2), 233-249, 2021 | 18 | 2021 |
| Deep learning based resource availability prediction for local mobile crowd computing PKD Pramanik, N Sinhababu, KS Kwak, P Choudhury IEEE Access 9, 116647-116671, 2021 | 17 | 2021 |
| Mining multilingual and multiscript Twitter data: unleashing the language and script barrier B Sarkar, N Sinhababu, M Roy, PKD Pramanik, P Choudhury International Journal of Business Intelligence and Data Mining 16 (1), 107-127, 2020 | 17 | 2020 |
| Predicting Resource Availability in Local Mobile Crowd Computing Using Convolutional GRU. PK Dutta Pramanik, N Sinhababu, A Nayyar, M Masud, P Choudhury Computers, Materials & Continua 70 (3), 2022 | 10 | 2022 |
| Predicting device availability in mobile crowd computing using ConvLSTM PKD Pramanik, N Sinhababu, A Nayyar, P Choudhury 2021 7th International Conference on Optimization and Applications (ICOA), 1-5, 2021 | 8 | 2021 |
| Mitigating DoS attack in MANETs considering node reputation with AI S Joardar, N Sinhababu, S Dey, P Choudhury Journal of Network and Systems Management 31 (3), 50, 2023 | 3 | 2023 |
| An Efficient Obstacle Detection Scheme for Low-Altitude UAVs Using Google Maps N Sinhababu, PKD Pramanik Data Management, Analytics and Innovation: Proceedings of ICDMAI 2021 …, 2022 | 2 | 2022 |
| Medical information retrieval and interpretation: a question-answer based interaction Model N Sinhababu, R Saxena, M Sarma, D Samanta arXiv preprint arXiv:2101.09662, 2021 | 2 | 2021 |
| Few-shot Prompting for Pairwise Ranking: An Effective Non-Parametric Retrieval Model N Sinhababu, A Parry, D Ganguly, D Samanta, P Mitra arXiv preprint arXiv:2409.17745, 2024 | 1 | 2024 |
| Computational Intelligence Approach to Improve the Classification Accuracy of Brain Neoplasm in MRI Data N Sinhababu, M Sarma, D Samanta arXiv preprint arXiv:2101.09658, 2021 | 1 | 2021 |
| Few-shot Pairwise Ranking Prompting: An Effective Non-Parametric Retrieval Model N Sinhababu, A Parry, D Ganguly, D Samanta, P Mitra | | 2024 |
| Detecting Unknown Shilling Attacks in Recommendation Systems PK Singh, PKD Pramanik, N Sinhababu, P Choudhury Wireless Personal Communications 137 (1), 259-286, 2024 | | 2024 |
| LEq: Large Language Models Generate Expanded Queries for Searching N Sinhababu, R Khatun 2024 15th International Conference on Computing Communication and Networking …, 2024 | | 2024 |
| Improved Sequence Predictions using Knowledge Graph Embedding for Large Language Models R Khatun, N Sinhababu Proceedings of the Third International Conference on AI-ML Systems, 1-5, 2023 | | 2023 |
| Improving Autoencoder-Based Recommendation Systems N Sinhababu, M Sarma, D Samanta International Conference on Data Management, Analytics & Innovation, 555-567, 2023 | | 2023 |
| Detection of Brain Neoplasm in MRI Data with Improved Image Preprocessing and Cascaded CNN-SSVM Model for Classification N Sinhababu, A Samanta, D Samanta Available at SSRN 4565905, 0 | | |
Prasenjit ChoudhuryAssociate Professor, NIT DurgapurEmail verificata su cse.nitdgp.ac.in
