Anupam Kumar Bairagi
Healthcare · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Anupam Kumar Bairagi trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Stephen W. Carden (in Reinforcement Learning)
Papers from Anupam Kumar Bairagi's perspective
Ordered by how strongly the researchers Anupam Kumar Bairagi trusts endorse each paper. Same corpus, a different order for every researcher.
- Channel Coding Rate in the Finite Blocklength Regime (IEEE Transactions on Information Theory)
- Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks (IEEE Conference on Computer Communications)
- Ultra-Reliable and Low-Latency Communications in 5G Downlink: Physical Layer Aspects (IEEE wireless communications)
- Wireless Access in Ultra-Reliable Low-Latency Communication (URLLC) (IEEE Transactions on Communications)
- An Introduction to Reinforcement Learning
- A Survey of Wearable Devices and Challenges (IEEE Communications Surveys and Tutorials)
- Wireless Sensor Networks for Healthcare (Proceedings of the IEEE)
- 5G Wireless Network Slicing for eMBB, URLLC, and mMTC: A Communication-Theoretic View
- A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion
- Ultrareliable and Low-Latency Wireless Communication: Tail, Risk, and Scale
Their papers
- Intelligent Resource Slicing for eMBB and URLLC Coexistence in 5G and Beyond: A Deep Reinforcement Learning Based Approach (2020) — 307 citations
- IoT-Based Healthcare-Monitoring System towards Improving Quality of Life: A Review (2022) — 352 citations
- A Machine Learning Approach to Diagnosing Lung and Colon Cancer Using a Deep Learning-Based Classification Framework (2021) — 382 citations