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Swaraj Kumar
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2020 – today
- 2024
- [c24]Srihari Das Sunkada Gopinath, Swaraj Kumar, Vishal Murgai:
Energy-Efficient Low-Complexity Power Management in Multi-Core RAN Systems. ICC Workshops 2024: 988-993 - [c23]Priya Gupta, Satya Kumar Vankayala, Swaraj Kumar, Manoj Thomas, Srihari Das Sunkada Gopinath, Seungil Yoon:
Secure Full-Duplex Communications via Spatially Correlated RIS Under Electromagnetic Interference. ICC Workshops 2024: 1743-1748 - [c22]Swaraj Kumar, Madhan Raj Kanagarathinam, Arun Padmanabh Bhagavath, Rahul Kumar Saha, Vasanth Kanakaraj:
SMASH: Supervised ML-Based Adaptive Selection of HTTP Protocols. ICC Workshops 2024: 2005-2010 - [c21]Sukhdeep Singh, Swaraj Kumar, Rahul Kumar Saha, Shreyanshu Agarwal
, Ashmeet Kaur:
CSI Feedback Prediction Using UE Aware Sparse Neural Network Framework. ICC Workshops 2024: 2011-2016 - 2023
- [c20]Swaraj Kumar, Vishal Murgai, Zarka Bashir, Sukhdeep Singh:
Non-Deterministic and Semi-Supervised Log-based Anomaly Detection. GLOBECOM (Workshops) 2023: 74-79 - [c19]Zarka Bashir, Swaraj Kumar, Vishal Murgai, Sukhdeep Singh:
Cloud RAN Based Privacy Preserving Federated Cross Domain Anomaly Detection in IoT Devices Logs. GLOBECOM (Workshops) 2023: 1820-1825 - [c18]Swaraj Kumar, Vishal Murgai, Sukhdeep Singh:
Light Weight AI: Representing ML Inference as Efficient Mathematical Relations for Embedded RAN Devices. GLOBECOM 2023: 7333-7338 - [c17]Satya Kumar Vankayala, Sai Krishna Santosh Gollapudi, Bharat Jain, Seungil Yoon, K. Mihir, Swaraj Kumar, H. U. Sudheer Kumar, Issaac Kommineni:
Efficient Deep-Learning Models for Future Blockage and Beam Prediction for mmWave Systems. NOMS 2023: 1-8 - [c16]Vishal Murgai, Srihari Das Sunkada Gopinath, Swaraj Kumar:
Federated Learning Framework for Dynamic Power Management in RAN Data Plane Systems. WCNC 2023: 1-6 - 2022
- [c15]Swaraj Kumar, Ashmeet Kaur Chandok, Satya Kumar Vankayala, Issaac Kommineni, Seungil Yoon:
Neural Network Framework for Modulation and Signal Classification. ANTS 2022: 163-168 - [c14]Veerabhadrappa M. Gadag, Swaraj Kumar, Vishal Murgai, Siva Kumar Mummadi:
Call Mute Reduction by Reinforcement Learning Based Deployment of ROHC in Next Generation Networks. GLOBECOM (Workshops) 2022: 1808-1813 - [c13]Swaraj Kumar, Vishal Murgai, Devashish Singh, Issaac Kommineni:
Recurrent Neural Network Architecture for Communication Log Analysis. PIMRC 2022: 503-508 - [c12]Satya Kumar Vankayala, Swaraj Kumar, Thirumulanathan D, Anmol Mathur, Seungil Yoon, Issaac Kommineni:
Deep-Learning Based Beam Selection Technique for 6G Millimeter Wave Communication. PIMRC 2022: 1380-1385 - 2021
- [c11]Satya Kumar Vankayala, Swaraj Kumar, D. Thirumulanathan, Seungil Yoon, Issaac Kommineni, V. S. Ch Lakshmi Narayana:
Sparse Dense Neural Network Architecture for Turbo Decoding. ANTS 2021: 1-6 - [c10]Swaraj Kumar, Satya Kumar Vankayala, Devashish Singh, Ishaan Roy, Biswa P. S. Sahoo, Seungil Yoon, Ignatius Samuel Kanakaraj:
Dynamic Network Slicing using Deep Reinforcement Learning. ANTS 2021: 384-389 - [c9]Swaraj Kumar, Satya Kumar Vankayala, Biswapratap Singh Sahoo, Seungil Yoon:
Continual Learning-Based Channel Estimation for 5G Millimeter-Wave Systems. CCNC 2021: 1-6 - [c8]Satya Kumar Vankayala, RaviTeja Gundeti, Konchady Gautam Shenoy, Abhay Kumar Sah, Swaraj Kumar, Seungil Yoon:
A Framework for Exploiting Hard and Soft LLRs for Low Complexity Decoding in VRAN Systems. WCNC 2021: 1-6 - [c7]Satya Kumar Vankayala, Swaraj Kumar, Ishaan Roy, D. Thirumulanathan, Seungil Yoon, Ignatius Samuel Kanakaraj:
Radio Map Estimation Using a Generative Adversarial Network and Related Business Aspects. WPMC 2021: 1-6 - [c6]Satya Kumar Vankayala, Swaraj Kumar, Konchady Gautam Shenoy, D. Thirumulanathan, Seungil Yoon, Issaac Kommineni:
Neural Network Architecture for LLR Computation in 5G Systems and Related Business Aspects. WPMC 2021: 1-6 - 2020
- [c5]Satya Kumar Vankayala, Gaurav Potnis, Konchady Gautam Shenoy, Seungil Yoon, Swaraj Kumar:
A Novel Front-haul Bandwidth Compression Method for RAN Systems. IEEE ANTS 2020: 1-5 - [c4]Swaraj Kumar, Sandipan Dutta, Shaurya Chaturvedi, M. P. S. Bhatia:
Strategies for Enhancing Training and Privacy in Blockchain Enabled Federated Learning. BigMM 2020: 333-340
2010 – 2019
- 2019
- [c3]Sandipan Dutta, Shaurya Chaturvedi, Swaraj Kumar, M. P. S. Bhatia:
SkiDNet: Skip Image Denoising Network for X-Rays. IJCNN 2019: 1-8 - [c2]Swaraj Kumar, Shaurya Chaturvedi, Sandipan Dutta:
Understanding Language Dependency on Emotional Speech using Siamese Network. IJCNN 2019: 1-8 - 2018
- [c1]Satvik Jain, Siddharth Verma, Swaraj Kumar, Swati Aggarwal
An Evolutionary Learning Approach to Play Othello Using XCS. CEC 2018: 1-8
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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