Dilip Senapati

According to our database, Dilip Senapati authored at least 12 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Mist-fog-assisted real-time emotion recognition using deep transfer learning framework for smart city 4.0.

Aditya Ranjan Dalabehera, Sujit Bebortta, Naveen Kumar, Dilip Senapati

Internet Things, 2024

2023

Stochastic modeling of <i>q</i>-Lognormal fading channels over Tsallis' entropy: Evaluation of channel capacity and higher order moments.

Tanmay Mukherjee, Sujit Bebortta, Dilip Senapati

Digit. Signal Process., March, 2023

2022

An Adaptive Modeling and Performance Evaluation Framework for Edge-Enabled Green IoT Systems.

Sujit Bebortta, Dilip Senapati, Chhabi Rani Panigrahi, Bibudhendu Pati

IEEE Trans. Green Commun. Netw., 2022

An adaptive q-Lognormal model towards the computation of average channel capacity in slow fading channels.

Tanmay Mukherjee, Dilip Senapati

Telecommun. Syst., 2022

Adaptive Performance Modeling Framework for QoS-Aware Offloading in MEC-Based IIoT Systems.

Sujit Bebortta, Dilip Senapati, Chhabi Rani Panigrahi, Bibudhendu Pati

IEEE Internet Things J., 2022

2021

A Robust Energy Optimization and Data Reduction Scheme for IoT Based Indoor Environments Using Local Processing Framework.

Sujit Bebortta, Amit Kumar Singh, Bibudhendu Pati, Dilip Senapati

J. Netw. Syst. Manag., 2021

2020

Evidence of power-law behavior in cognitive IoT applications.

Sujit Bebortta, Dilip Senapati, Nikhil Kumar Rajput, Amit Kumar Singh, Vipin Kumar Rathi, Hari Mohan Pandey, Amit Kumar Jaiswal, Jia Qian, Prayag Tiwari

Neural Comput. Appl., 2020

2019

Performance Evaluation of Wireless Communication Systems over Weibull/q-Lognormal Shadowed Fading Using Tsallis' Entropy Framework.

Tanmay Mukherjee, Amit Kumar Singh, Dilip Senapati

Wirel. Pers. Commun., 2019

Adaptive Applications of Maximum Entropy Principle.

Amit Kumar Singh, Dilip Senapati, Tanmay Mukherjee, Nikhil Kumar Rajput

Proceedings of the Progress in Advanced Computing and Intelligent Engineering, 2019

A Non-stationary Analysis of Erlang Loss Model.

Amit Kumar Singh, Dilip Senapati, Sujit Bebortta, Nikhil Kumar Rajput

Proceedings of the Progress in Advanced Computing and Intelligent Engineering, 2019

Performance Evaluation of Composite Fading Channels Using q-Weibull Distribution.

Tanmay Mukherjee, Bibudhendu Pati, Dilip Senapati

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.

Dilip Senapati, Karmeshu

Digit. Signal Process., 2016