Tran Anh Khoa

Orcid: 0000-0003-4649-8417

According to our database1, Tran Anh Khoa authored at least 23 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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

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

Federated Learning in Smart Agriculture: An Overview.
Proceedings of the 15th International Conference on Knowledge and Systems Engineering, 2023

RBBA: ResNet - BERT - Bahdanau Attention for Image Caption Generator.
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

Federated Learning for Air Quality Index Prediction: An Overview.
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

splitDyn: Federated Split Neural Network for Distributed Edge AI Applications.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
Wireless sensor networks and machine learning meet climate change prediction.
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
Waste Management System Using IoT-Based Machine Learning in University.
Wirel. Commun. Mob. Comput., 2020

Designing Efficient Smart Home Management with IoT Smart Lighting: A Case Study.
Wirel. Commun. Mob. Comput., 2020

2019
SDN Controller Placement in IoT Networks: An Optimized Submodularity-Based Approach.
Sensors, 2019

Smart Agriculture Using IoT Multi-Sensors: A Novel Watering Management System.
J. Sens. Actuator Networks, 2019

2018
Time Slot Utilization for Efficient Multi-Channel MAC Protocol in VANETs.
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
Improving Device-to-Device communications pairing for underlay cellular networks.
Proceedings of the 2017 European Conference on Networks and Communications, 2017


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