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Dr. Tanmay Mukherjee
Dr. Tanmay Mukherjee
Assistant Professor, Department of CSE, Siksha 'O' Anusandhan (Deemed) to be University
在 soa.ac.in 的电子邮件经过验证
标题
引用次数
引用次数
年份
Performance Evaluation of Wireless Communication Systems over Weibull/q-Lognormal Shadowed Fading Using Tsallis’ Entropy Framework
T Mukherjee, AK Singh, D Senapati
Wireless Personal Communications 106 (2), 789-803, 2019
222019
Performance evaluation of composite fading channels using q-Weibull distribution
DS Tanmay Mukherjee, Bibudhendu Pati
Progress in Advanced Computing and Intelligent Engineering - Proceedings of …, 2019
10*2019
Evaluation of symbol error probability using a new tight Gaussian Q approximation
T Mukherjee, G Nayak, D Senapati
International Journal of Systems, Control and Communications 12 (1), 60-71, 2021
92021
Adaptive applications of maximum entropy principle
AK Singh, D Senapati, T Mukherjee, NK Rajput
Progress in Advanced Computing and Intelligent Engineering: Proceedings of …, 2020
82020
Dynamic framework towards sustainable and energy-efficient routing in delay tolerant IoT-based WSNs
S Bebortta, SK Singh, M Rath, T Mukherjee
International Journal of Systems, Control and Communications 15 (1), 79-94, 2024
72024
FedHealthFog: A federated learning-enabled approach towards healthcare analytics over fog computing platform
SS Tripathy, S Bebortta, CL Chowdhary, T Mukherjee, SK Kim, J Shafi, ...
Heliyon 10 (5), 2024
62024
Stochastic modeling of q-Lognormal fading channels over Tsallis' entropy: Evaluation of channel capacity and higher order moments
T Mukherjee, S Bebortta, D Senapati
Digital Signal Processing 133, 103856, 2023
62023
Intelligent characterization of wireless fading channels using a single statistical q-weibull distribution
S Samal, T Mukherjee, S Bebortta, S Chakravarty
2022 IEEE 2nd International Symposium on Sustainable Energy, Signal …, 2022
62022
An adaptive q-Lognormal model towards the computation of average channel capacity in slow fading channels
T Mukherjee, D Senapati
Telecommunication Systems 79 (3), 341-355, 2022
52022
Comparative Analysis of Symbol Error Probability Estimation Techniques for Wireless Fading Channels
T Mukherjee, S Bebortta, SS Tripathy
2024 IEEE 13th International Conference on Communication Systems and Network …, 2024
12024
A Tight Approximation Towards the SEP Computation Over Nakagami-m Fading Channels
T Mukherjee, D Senapati
National Academy Science Letters 45 (5), 423-426, 2022
12022
Performance modeling of composite fading channels: an application to wearable wireless communication systems
T Mukherjee, B Pati, CR Panigrahi, S Bebortta
Discover Electronics 1 (1), 16, 2024
2024
DynaFog: A Dynamic Task Offloading Framework for IoT-Based Fog Computing Platforms
SS Tripathy, S Bebortta, T Mukherjee
2024 IEEE 13th International Conference on Communication Systems and Network …, 2024
2024
Intelligent Machine Learning Framework for Classification of Vehicular Traffic in Internet of Vehicles
B Tripathy, SS Tripathy, S Bebortta, T Mukherjee
2024 3rd International conference on Power Electronics and IoT Applications …, 2024
2024
Superstatistics characterization of Composite Fading Channels using non-extensive Tsallis' Entropy framework
DS Tanmay Mukherjee
OURIIP, 2021
2021
Adaptive Applications of Maximum Entropy Principle
NKR Amit Kumar Singh, Dilip Senapati, Tanmay Mukherjee
Progress in Advanced Computing and Intelligent Engineering - Proceedings of …, 2019
2019
CSNT 2024
V Tilwari, P Maduranga, S Solanki, D Sharma, N Chakraborty, ...
SUPERSTATISTICS CHARACTERIZATION OF COMPOSITE FADING CHANNELS USING NON-EXTENSIVE TSALLIS’ENTROPY FRAMEWORK
T Mukherjee, S Bebortta, D Senapati
Signal 10, 0, 0
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