Sujit Bebortta

Orcid: 0000-0002-7316-5063

According to our database1, Sujit Bebortta authored at least 14 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
TinyDeepUAV: A Tiny Deep Reinforcement Learning Framework for UAV Task Offloading in Edge-Based Consumer Electronics.
IEEE Trans. Consumer Electron., November, 2024

Toward Multi-Modal Deep Learning-Assisted Task Offloading for Consumer Electronic Devices Over an IoT-Fog Architecture.
IEEE Trans. Consumer Electron., February, 2024

Sustainable Fog-Assisted Intelligent Monitoring Framework for Consumer Electronics in Industry 5.0 Applications.
IEEE Trans. Consumer Electron., February, 2024

An SDN-enabled fog computing framework for wban applications in the healthcare sector.
Internet Things, 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

DeepMist: Toward Deep Learning Assisted Mist Computing Framework for Managing Healthcare Big Data.
IEEE Access, 2023

2022
An Adaptive Modeling and Performance Evaluation Framework for Edge-Enabled Green IoT Systems.
IEEE Trans. Green Commun. Netw., 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

An Opportunistic Ensemble Learning Framework for Network Traffic Classification in IoT Environments.
Proceedings of the Seventh International Conference on Mathematics and Computing, 2021

2020
Evidence of power-law behavior in cognitive IoT applications.
Neural Comput. Appl., 2020

Geospatial Serverless Computing: Architectures, Tools and Future Directions.
ISPRS Int. J. Geo Inf., 2020

2019
A Non-stationary Analysis of Erlang Loss Model.
Proceedings of the Progress in Advanced Computing and Intelligent Engineering, 2019


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