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Sujit Bebortta
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2020 – today
- 2024
- [j11]Subhranshu Sekhar Tripathy, Sujit Bebortta, Mazin Abed Mohammed, Jan Nedoma, Radek Martinek, Haydar Abdulameer Marhoon:
An SDN-enabled fog computing framework for wban applications in the healthcare sector. Internet Things 26: 101150 (2024) - [j10]Aditya Ranjan Dalabehera, Sujit Bebortta, Naveen Kumar, Dilip Senapati:
Mist-fog-assisted real-time emotion recognition using deep transfer learning framework for smart city 4.0. Internet Things 27: 101237 (2024) - [j9]Subhranshu Sekhar Tripathy, Sujit Bebortta, Thippa Reddy Gadekallu:
Sustainable Fog-Assisted Intelligent Monitoring Framework for Consumer Electronics in Industry 5.0 Applications. IEEE Trans. Consumer Electron. 70(1): 1501-1510 (2024) - [j8]Subhranshu Sekhar Tripathy, Sujit Bebortta, Muhammad Ibrar-ul-Haque, Yaodong Zhu, Thippa Reddy Gadekallu:
Toward Multi-Modal Deep Learning-Assisted Task Offloading for Consumer Electronic Devices Over an IoT-Fog Architecture. IEEE Trans. Consumer Electron. 70(1): 1656-1663 (2024) - 2023
- [j7]Sujit Bebortta, Subhranshu Sekhar Tripathy, Shakila Basheer, Chiranji Lal Chowdhary:
DeepMist: Toward Deep Learning Assisted Mist Computing Framework for Managing Healthcare Big Data. IEEE Access 11: 42485-42496 (2023) - [j6]Tanmay Mukherjee, Sujit Bebortta, Dilip Senapati:
Stochastic modeling of q-Lognormal fading channels over Tsallis' entropy: Evaluation of channel capacity and higher order moments. Digit. Signal Process. 133: 103856 (2023) - 2022
- [j5]Sujit Bebortta, Dilip Senapati, Chhabi Rani Panigrahi, Bibudhendu Pati:
Adaptive Performance Modeling Framework for QoS-Aware Offloading in MEC-Based IIoT Systems. IEEE Internet Things J. 9(12): 10162-10171 (2022) - [j4]Sujit Bebortta, Dilip Senapati, Chhabi Rani Panigrahi, Bibudhendu Pati:
An Adaptive Modeling and Performance Evaluation Framework for Edge-Enabled Green IoT Systems. IEEE Trans. Green Commun. Netw. 6(2): 836-844 (2022) - 2021
- [j3]Sujit Bebortta, Amit Kumar Singh, Bibudhendu Pati, Dilip Senapati:
A Robust Energy Optimization and Data Reduction Scheme for IoT Based Indoor Environments Using Local Processing Framework. J. Netw. Syst. Manag. 29(1): 6 (2021) - [c2]Sujit Bebortta, Sumanta Kumar Singh:
An Opportunistic Ensemble Learning Framework for Network Traffic Classification in IoT Environments. ICMC 2021: 473-484 - 2020
- [j2]Sujit Bebortta, Saneev Kumar Das, Meenakshi Kandpal, Rabindra Kumar Barik, Harishchandra Dubey:
Geospatial Serverless Computing: Architectures, Tools and Future Directions. ISPRS Int. J. Geo Inf. 9(5): 311 (2020) - [j1]Sujit Bebortta, Dilip Senapati, Nikhil Kumar Rajput, Amit Kumar Singh, Vipin Kumar Rathi, Hari Mohan Pandey, Amit Kumar Jaiswal, Jia Qian, Prayag Tiwari:
Evidence of power-law behavior in cognitive IoT applications. Neural Comput. Appl. 32(20): 16043-16055 (2020)
2010 – 2019
- 2019
- [c1]Amit Kumar Singh, Dilip Senapati, Sujit Bebortta, Nikhil Kumar Rajput:
A Non-stationary Analysis of Erlang Loss Model. ICACIE (1) 2019: 286-294
Coauthor Index
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last updated on 2024-10-23 20:35 CEST by the dblp team
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