Abhishek Hazra
Orcid: 0000-0003-0796-6265
According to our database1,
Abhishek Hazra
authored at least 53 papers
between 2018 and 2025.
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Bibliography
2025
From Connectivity to Intelligence: The Game-Changing Role of AI and IoT in Industry 5.0.
IEEE Consumer Electron. Mag., September, 2025
IEEE Internet Things J., August, 2025
Optimizing UAV-Based Data Collection in IoT Networks With Dynamic Service Time and Buffer-Aware Trajectory Planning.
IEEE Trans. Netw. Serv. Manag., April, 2025
Cognitive Computing and Machine Intelligence in Fog-Cloud Infrastructure for Industry 5.0.
IEEE Consumer Electron. Mag., March, 2025
An Efficient Scheduling Approach for Target Coverage in Solar Powered Internet of Things.
IEEE Trans. Sustain. Comput., 2025
A Comprehensive Survey of Data-Driven Solutions for LoRaWAN: Challenges and Future Directions.
ACM Trans. Internet Things, 2025
A dual map-based cooperative DDQN approach for trajectory planning in a UAV-enabled IoT network.
Phys. Commun., 2025
A Deep Deterministic Policy Gradient Method for Optimizing Task Completion Time and Energy Efficiency in UAV-Assisted IoT Networks.
IEEE Internet Things J., 2025
IET Networks, 2025
FLAME: Federated Learning with Adaptive Model Expansion for Heterogeneous Devices in Metaverse.
Proceedings of the 10th International Conference on Fog and Mobile Edge Computing, 2025
Proceedings of the 10th International Conference on Fog and Mobile Edge Computing, 2025
2024
Optimizing Power Beacon Deployment in Battery-Less Wireless Sensor Networks for Transforming E-Commerce.
IEEE Trans. Consumer Electron., November, 2024
UAV-Enabled Mobile RAN and RF-Energy Transfer Protocol for Enabling Sustainable IoT in Energy-Constrained Networks.
IEEE Trans. Green Commun. Netw., September, 2024
IEEE Consumer Electron. Mag., September, 2024
IEEE Internet Things J., June, 2024
Distributed Service Provisioning With Collaboration of Edge and Cloud in Industry 5.0.
IEEE Internet Things J., June, 2024
6G-Enabled Ultra-Reliable Low Latency Communication for Industry 5.0: Challenges and Future Directions.
IEEE Commun. Stand. Mag., June, 2024
Fair Scheduling and Computation Co-Offloading for Industrial Applications in Fog Networks.
IEEE Trans. Netw. Serv. Manag., April, 2024
Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions.
Computer, March, 2024
Explainable AI for Communicable Disease Prediction and Sustainable Living: Implications for Consumer Electronics.
IEEE Trans. Consumer Electron., February, 2024
IEEE Consumer Electron. Mag., January, 2024
Phys. Commun., 2024
IEEE Internet Things J., 2024
IEEE Internet Comput., 2024
Deep Reinforcement Learning for Task Partitioning and Partial Offloading in UAV Networks.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
Proceedings of the 99th IEEE Vehicular Technology Conference, 2024
FedWAvg: Mitigating Model Contamination in UAV Networks through Federated Weighted Average for Weather Forecasting.
Proceedings of the 100th IEEE Vehicular Technology Conference, 2024
Real-Time Incremental Federated Learning for Weather Prediction with UAV based Data Collection.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2024
Optimizing IoT Workloads for Minimal Time and Energy with UAV Networks Using Deep Q Network.
Proceedings of the IEEE International Conference on Vehicular Electronics and Safety, 2024
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024
Intelligent Task Offloading in IoT Devices Using Deep Reinforcement Learning Approaches.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024
2023
IEEE Netw. Lett., December, 2023
Fog computing for next-generation Internet of Things: Fundamental, state-of-the-art and research challenges.
Comput. Sci. Rev., May, 2023
Cooperative Transmission Scheduling and Computation Offloading With Collaboration of Fog and Cloud for Industrial IoT Applications.
IEEE Internet Things J., March, 2023
Collaborative AI-Enabled Intelligent Partial Service Provisioning in Green Industrial Fog Networks.
IEEE Internet Things J., February, 2023
Deep Transfer Learning for Communicable Disease Detection and Recommendation in Edge Networks.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
A Comprehensive Survey on Interoperability for IIoT: Taxonomy, Standards, and Future Directions.
ACM Comput. Surv., 2023
Proceedings of the IEEE INFOCOM 2023, 2023
A Combined Approach of Industrial Edge Computing and Machine Learning for Predictive Maintenance.
Proceedings of the IEEE Globecom Workshops 2023, 2023
2022
IEEE Trans. Netw. Sci. Eng., 2022
CeCO: Cost-Efficient Computation Offloading of IoT Applications in Green Industrial Fog Networks.
IEEE Trans. Ind. Informatics, 2022
IEEE Netw., 2022
IEEE Commun. Stand. Mag., 2022
IEEE Consumer Electron. Mag., 2022
2021
IEEE Internet Things Mag., 2021
Stackelberg Game for Service Deployment of IoT-Enabled Applications in 6G-Aware Fog Networks.
IEEE Internet Things J., 2021
A comprehensive survey on chest diseases analysis: technique, challenges and future research directions.
Int. J. Multim. Inf. Retr., 2021
Chest disease radiography in twofold: using convolutional neural networks and transfer learning.
Evol. Syst., 2021
Bangla-Meitei Mayek scripts handwritten character recognition using Convolutional Neural Network.
Appl. Intell., 2021
2020
Joint Computation Offloading and Scheduling Optimization of IoT Applications in Fog Networks.
IEEE Trans. Netw. Sci. Eng., 2020
2019
Proceedings of the 10th International Conference on Computing, 2019
2018
Proceedings of the 9th International Conference on Computing, 2018