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Nilanjan Sinhababu
Nilanjan Sinhababu
PhD Student, IIT Kharagpur
在 kgpian.iitkgp.ac.in 的电子邮件经过验证 - 首页
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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
1602019
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
152020
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
132021
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
122021
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
82022
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
72021
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
22023
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
22022
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
12021
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
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
2021
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
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