Tran Anh Khoa
Orcid: 0000-0003-4649-8417
According to our database1,
Tran Anh Khoa
authored at least 27 papers
between 2017 and 2024.
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Bibliography
2024
Safety Is Our Friend: A Federated Learning Framework Toward Driver's State and Behavior Detection.
IEEE Trans. Comput. Soc. Syst., April, 2024
A novel solution for energy-saving and lifetime-maximizing of LoRa wireless mesh networks.
J. Inf. Telecommun., January, 2024
CroSSHeteroFL: Cross-Stratified Sampling Composition-Fitting to Federated Learning for Heterogeneous Clients.
IEEE Access, 2024
Joint Federated Learning Using Deep Segmentation and the Gaussian Mixture Model for Breast Cancer Tumors.
IEEE Access, 2024
Clustering-Enhanced Reinforcement Learning for Adaptive Offloading in Resource-Constrained Devices.
Proceedings of the IEEE International Conference on Smart Computing, 2024
Proceedings of the Fifth Workshop on Intelligent Cross-Data Analysis and Retrieval, 2024
2023
Design and implementation of a VoIP PBX integrated Vietnamese virtual assistant: a case study.
J. Inf. Telecommun., April, 2023
An efficient energy measurement system based on the TOF sensor for structural crack monitoring in architecture.
J. Inf. Telecommun., January, 2023
A Transfer Learning Approach to Breast Cancer Classification in a Federated Learning Framework.
IEEE Access, 2023
Proceedings of the 15th International Conference on Knowledge and Systems Engineering, 2023
Proceedings of the 14th International Conference on Information and Communication Technology Convergence, 2023
AOP: Towards Adaptive Offloading Point Approach in a Federated Learning Framework for Edge AI Applications.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023
2022
Insights into Multi-Model Federated Learning: An Advanced Approach for Air Quality Index Forecasting.
Algorithms, 2022
FedMCRNN: Federated Learning using Multiple Convolutional Recurrent Neural Networks for Sleep Quality Prediction.
Proceedings of the ICDAR@ICMR 2022: Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, Newark, NJ, USA, June 27, 2022
Proceedings of the 14th International Conference on Knowledge and Systems Engineering, 2022
FedProb: An Aggregation Method Based on Feature Probability Distribution for Federated Learning on Non-IID Data.
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
2021
Int. J. Commun. Syst., 2021
Cross-Modal Deep Neural Networks based Smartphone Authentication for Intelligent Things System.
Proceedings of the ICDAR@ICMR 2021: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval, 2021
Fed xData: A Federated Learning Framework for Enabling Contextual Health Monitoring in a Cloud-Edge Network.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Wirel. Commun. Mob. Comput., 2020
Wirel. Commun. Mob. Comput., 2020
2019
Sensors, 2019
J. Sens. Actuator Networks, 2019
2018
Sensors, 2018
Efficiency and Fairness in the Resource Allocation to Device-to-Device Communications in LTE-A.
Proceedings of the 2018 IEEE International Conference on Communications, 2018
2017
Proceedings of the 2017 European Conference on Networks and Communications, 2017