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

Geospatial Serverless Computing: Architectures, Tools and Future Directions. - Sujit Bebortta; Saneev Kumar Das; Meenakshi Kandpal; Rabindra Kumar Barik; Harishchandra Dubey (ISPRS Int. J. Geo Inf., 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)

An Opportunistic Ensemble Learning Framework for Network Traffic Classification in IoT Environments. - Sujit Bebortta; Sumanta Kumar Singh (ICMC, 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)

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 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)

Nearest Neighbor and Decision Tree Based Cloud Service QoS Classification. - Soumya Snigdha Mohapatra; Rakesh Ranjan Kumar; Sujit Bebortta (CoCoLe, 2023)

DeepMist: Toward Deep Learning Assisted Mist Computing Framework for Managing Healthcare Big Data. - Sujit Bebortta; Subhranshu Sekhar Tripathy; Shakila Basheer; Chiranji Lal Chowdhary (IEEE Access, 2023)

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)

An SDN-enabled fog computing framework for wban applications in the healthcare sector. - Subhranshu Sekhar Tripathy; Sujit Bebortta; Mazin Abed Mohammed; Jan Nedoma; Radek Martinek; Haydar Abdulameer Marhoon (Internet Things, 2024)

Sustainable Fog-Assisted Intelligent Monitoring Framework for Consumer Electronics in Industry 5.0 Applications. - Subhranshu Sekhar Tripathy; Sujit Bebortta; Thippa Reddy Gadekallu (IEEE Trans. Consumer Electron., 2024)

Toward Multi-Modal Deep Learning-Assisted Task Offloading for Consumer Electronic Devices Over an IoT-Fog Architecture. - Subhranshu Sekhar Tripathy; Sujit Bebortta; Muhammad Ibrar-ul-Haque; Yaodong Zhu; Thippa Reddy Gadekallu (IEEE Trans. Consumer Electron., 2024)

TinyDeepUAV: A Tiny Deep Reinforcement Learning Framework for UAV Task Offloading in Edge-Based Consumer Electronics. - Sujit Bebortta; Subhranshu Sekhar Tripathy; Surbhi Bhatia Khan; Maryam M. Al Dabel; Ahlam Almusharraf; Ali Kashif Bashir (IEEE Trans. Consumer Electron., 2024)

An Adaptive Explainable AI Framework for Securing Consumer Electronics-Based IoT Applications in Fog-Cloud Infrastructure. - Subhranshu Sekhar Tripathy; Manisha Guduri; Chinmay Chakraborty; Sujit Bebortta; Subhendu Kumar Pani; Sabyasachi Mukhopadhyay (IEEE Trans. Consumer Electron., 2025)

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)