Hrishikesh Dutta
Orcid: 0000-0002-9226-4040
According to our database1,
Hrishikesh Dutta
authored at least 22 papers
between 2021 and 2024.
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Bibliography
2024
Contextual Deep Reinforcement Learning for Flow and Energy Management in Wireless Sensor and IoT Networks.
IEEE Trans. Green Commun. Netw., September, 2024
On-Device Semi-Supervised Activity Detection: A New Privacy-Aware Personalized Health Monitoring Approach.
Sensors, July, 2024
Harnessing Quantum Entanglement: Comprehensive Strategies for Enhanced Communication and Beyond in Quantum Networks.
CoRR, 2024
Quantum Communication: From Fundamentals to Recent Trends, Challenges and Open Problems.
CoRR, 2024
CoRR, 2024
Unsupervised Speaker Diarization in Distributed IoT Networks Using Federated Learning.
CoRR, 2024
Reinforcement Learning for Joint Transmit-Sleep Scheduling in Energy-harvesting Wireless Sensor Networks.
Proceedings of the International Conference on Information Networking, 2024
2023
Distributed Federated-Multi-Armed Bandit Learning for Content Management in Connected UAVs.
IEEE Internet Things Mag., December, 2023
Federated Multi-Armed Bandit Learning for Caching in UAV-aided Content Dissemination.
Ad Hoc Networks, December, 2023
Reinforcement learning based flow and energy management in resource-constrained wireless networks.
Comput. Commun., 2023
Handling Demand Heterogeneity in UAV-aided Content Caching in Communication-challenged Environments.
Proceedings of the 24th IEEE International Symposium on a World of Wireless, 2023
Multi-armed Bandit Learning for TDMA Transmission Slot Scheduling and Defragmentation for Improved Bandwidth Usage.
Proceedings of the International Conference on Information Networking, 2023
UAV Trajectory Planning For Improved Content Availability in Infrastructure-less Wireless Networks.
Proceedings of the International Conference on Information Networking, 2023
Semi-Supervised Learning Using Sparsely Labelled Sip Events for Online Hydration Tracking Systems.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the IEEE Global Communications Conference, 2023
2022
An On-Device Learning System for Estimating Liquid Consumption from Consumer-Grade Water Bottles and Its Evaluation.
Sensors, 2022
Distributed Reinforcement Learning for scalable wireless medium access in IoTs and sensor networks.
Comput. Networks, 2022
Reinforcement Learning for Protocol Synthesis in Resource-Constrained Wireless Sensor and IoT Networks.
Proceedings of the Ubiquitous Networking - 8th International Symposium, 2022
Wireless MAC Slot Allocation Using Distributed Multi-Armed Bandit Learning and Slot Defragmentation.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022
Towards a UAV-centric Content Caching Architecture for Communication-challenged Environments.
Proceedings of the IEEE Global Communications Conference, 2022
2021
Medium Access using Distributed Reinforcement Learning for IoTs with Low-Complexity Wireless Transceivers.
Proceedings of the 7th IEEE World Forum on Internet of Things, 2021
Proceedings of the 13th International Conference on COMmunication Systems & NETworkS, 2021