Dilip Senapati
Orcid: 0000-0002-3157-4627
  According to our database1,
  Dilip Senapati
  authored at least 13 papers
  between 2016 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
  2025
Leveraging Resource-Aware Deep Collaborative Learning Toward Secure B5G-Driven IoT-Fog-Based Consumer Electronic Systems.
    
  
    IEEE Trans. Consumer Electron., May, 2025
    
  
  2024
Mist-fog-assisted real-time emotion recognition using deep transfer learning framework for smart city 4.0.
    
  
    Internet Things, 2024
    
  
  2023
Stochastic modeling of <i>q</i>-Lognormal fading channels over Tsallis' entropy: Evaluation of channel capacity and higher order moments.
    
  
    Digit. Signal Process., March, 2023
    
  
  2022
An Adaptive Modeling and Performance Evaluation Framework for Edge-Enabled Green IoT Systems.
    
  
    IEEE Trans. Green Commun. Netw., 2022
    
  
An adaptive q-Lognormal model towards the computation of average channel capacity in slow fading channels.
    
  
    Telecommun. Syst., 2022
    
  
Adaptive Performance Modeling Framework for QoS-Aware Offloading in MEC-Based IIoT Systems.
    
  
    IEEE Internet Things J., 2022
    
  
  2021
A Robust Energy Optimization and Data Reduction Scheme for IoT Based Indoor Environments Using Local Processing Framework.
    
  
    J. Netw. Syst. Manag., 2021
    
  
  2020
    Neural Comput. Appl., 2020
    
  
  2019
Performance Evaluation of Wireless Communication Systems over Weibull/q-Lognormal Shadowed Fading Using Tsallis' Entropy Framework.
    
  
    Wirel. Pers. Commun., 2019
    
  
    Proceedings of the Progress in Advanced Computing and Intelligent Engineering, 2019
    
  
    Proceedings of the Progress in Advanced Computing and Intelligent Engineering, 2019
    
  
    Proceedings of the Progress in Advanced Computing and Intelligent Engineering, 2019
    
  
  2016
Generation of cubic power-law for high frequency intra-day returns: Maximum Tsallis entropy framework.
    
  
    Digit. Signal Process., 2016