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ORCIDChandrasen Pandey
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2020 – today
- 2024
[j8]Vaibhav Tiwari, Chandrasen Pandey, Diptendu Sinha Roy:
A forecasting-based approach for optimal deployment of edge servers in 5G networks. Clust. Comput. 27(5): 5721-5739 (2024)- [j7]Vaibhav Tiwari, Chandrasen Pandey, Abisek Dahal
, Diptendu Sinha Roy, Ugo Fiore:
A Knapsack-based Metaheuristic for Edge Server Placement in 5G networks with heterogeneous edge capacities. Future Gener. Comput. Syst. 153: 222-233 (2024) - [j6]Chandrasen Pandey, Neeraj Baghel, Rinki Gupta, Malay Kishore Dutta:
Nocturnal sleep sounds classification with artificial neural network for sleep monitoring. Multim. Tools Appl. 83(6): 15693-15709 (2024) - [j5]Vaibhav Tiwari, Chandrasen Pandey, Satyendra Singh Yadav, Diptendu Sinha Roy, Om Jee Pandey, Linga Reddy Cenkeramaddi:
Maximizing Coverage and Energy Conservation in B5G Networks Using Hexagonal Tiling to Deploy FT-S2ES. IEEE Open J. Commun. Soc. 5: 2541-2554 (2024) - [j4]Chandrasen Pandey, Vaibhav Tiwari, Joel J. P. C. Rodrigues, Diptendu Sinha Roy:
5GT-GAN-NET: Internet Traffic Data Forecasting With Supervised Loss Based Synthetic Data Over 5G. IEEE Trans. Mob. Comput. 23(11): 10694-10705 (2024) - 2023
- [j3]Chandrasen Pandey, Vaibhav Tiwari, Agbotiname Lucky Imoize, Chun-Ta Li, Cheng-Chi Lee, Diptendu Sinha Roy:
5GT-GAN: Enhancing Data Augmentation for 5G-Enabled Mobile Edge Computing in Smart Cities. IEEE Access 11: 120983-120996 (2023) - [j2]Chandrasen Pandey, Vaibhav Tiwari, Rajkumar Singh Rathore, Rutvij H. Jhaveri, Diptendu Sinha Roy, Shitharth Selvarajan:
Resource-Efficient Synthetic Data Generation for Performance Evaluation in Mobile Edge Computing Over 5G Networks. IEEE Open J. Commun. Soc. 4: 1866-1878 (2023) - [c2]Vaibhav Tiwari, Diptendu Sinha Roy, Chandrasen Pandey:
Energy Optimization in B5G Networks with Predictive Allocation of Base Stations in Edge Server Placement. ANTS 2023: 604-609 - [c1]Chandrasen Pandey, Vaibhav Tiwari, Agbotiname Lucky Imoize, Diptendu Sinha Roy:
Deep Reinforcement Learning-Based Resource Management for 5G Networks: Optimizing eMBB Throughput and URLLC Latency. VTC Fall 2023: 1-6 - 2021
- [j1]Chandrasen Pandey, Neeraj Baghel, Malay Kishore Dutta, Ashish Srivastava, Nandlal Choudhary:
Machine learning approach for automatic diagnosis of Chlorosis in Vigna mungo leaves. Multim. Tools Appl. 80(9): 13407-13427 (2021)
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