Generation of cubic power-law for high frequency intra-day returns: Maximum Tsallis entropy framework. - Dilip Senapati; Karmeshu (Digit. Signal Process., 2016)

Performance Evaluation of Composite Fading Channels Using q-Weibull Distribution. - Tanmay Mukherjee; Bibudhendu Pati; Dilip Senapati (ICACIE (1), 2019)

A Non-stationary Analysis of Erlang Loss Model. - Amit Kumar Singh; Dilip Senapati; Sujit Bebortta; Nikhil Kumar Rajput (ICACIE (1), 2019)

Adaptive Applications of Maximum Entropy Principle. - Amit Kumar Singh; Dilip Senapati; Tanmay Mukherjee; Nikhil Kumar Rajput (ICACIE (1), 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)

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)

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)

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)

An adaptive q-Lognormal model towards the computation of average channel capacity in slow fading channels. - Tanmay Mukherjee; Dilip Senapati (Telecommun. Syst., 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)

Stochastic modeling of q-Lognormal fading channels over Tsallis' entropy: Evaluation of channel capacity and higher order moments. - Tanmay Mukherjee; Sujit Bebortta; Dilip Senapati (Digit. Signal Process., 2023)

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)

Leveraging Resource-Aware Deep Collaborative Learning Toward Secure B5G-Driven IoT-Fog-Based Consumer Electronic Systems. - Subhranshu Sekhar Tripathy; Sujit Bebortta; Chinmay Chakraborty; Dilip Senapati; Subhendu Kumar Pani; Manisha Guduri (IEEE Trans. Consumer Electron., 2025)