Improving Device-to-Device communications pairing for underlay cellular networks. - Giovanni Giambene; Tran Anh Khoa (EuCNC, 2017)

Efficiency and Fairness in the Resource Allocation to Device-to-Device Communications in LTE-A. - Giovanni Giambene; Tran Anh Khoa (ICC, 2018)

Time Slot Utilization for Efficient Multi-Channel MAC Protocol in VANETs. - Vandung Nguyen; Tran Anh Khoa; Thant Zin Oo; Nguyen Hoang Tran; Choong Seon Hong; Eui-Nam Huh (Sensors, 2018)

Smart Agriculture Using IoT Multi-Sensors: A Novel Watering Management System. - Tran Anh Khoa; Mai Minh Man; Tan-Y. Nguyen; Van Dung Nguyen; Hoang Nam Nguyen (J. Sens. Actuator Networks, 2019)

SDN Controller Placement in IoT Networks: An Optimized Submodularity-Based Approach. - Tran Anh Khoa; Md. Jalil Piran; Chuan Pham (Sensors, 2019)

Designing Efficient Smart Home Management with IoT Smart Lighting: A Case Study. - Tran Anh Khoa; Le Mai Bao Nhu; Hoang Hai Son; Nguyen Minh Trong; Cao Hoang Phuc; Nguyen Thi Hoang Phuong; Nguyen Van Dung; Hoang Nam Nguyen; Dong Si Thien Chau; Duc Ngoc Minh Dang (Wirel. Commun. Mob. Comput., 2020)

Waste Management System Using IoT-Based Machine Learning in University. - Tran Anh Khoa; Cao Hoang Phuc; Pham Duc Lam; Le Mai Bao Nhu; Nguyen Minh Trong; Nguyen Thi Hoang Phuong; Nguyen Van Dung; Nguyen Tan-Y; Hoang Nam Nguyen; Duc Ngoc Minh Dang (Wirel. Commun. Mob. Comput., 2020)

Fed xData: A Federated Learning Framework for Enabling Contextual Health Monitoring in a Cloud-Edge Network. - Tran Anh Khoa; Do-Van Nguyen; Minh-Son Dao; Koji Zettsu (IEEE BigData, 2021)

Cross-Modal Deep Neural Networks based Smartphone Authentication for Intelligent Things System. - Tran Anh Khoa; Dinh Nguyen The Truong; Duc Ngoc Minh Dang (ICDAR@ICMR, 2021)

Wireless sensor networks and machine learning meet climate change prediction. - Tran Anh Khoa; Nguyen Quang Minh; Hoang Hai Son; Cao Nguyen Dang Khoa; Dinh Ngoc Tan; Vandung Nguyen; Hoang Nam Nguyen; Duc Ngoc Minh Dang; Nguyen Trung Tin (Int. J. Commun. Syst., 2021)

splitDyn: Federated Split Neural Network for Distributed Edge AI Applications. - Tran Anh Khoa; Do-Van Nguyen; Minh-Son Dao; Koji Zettsu (IEEE Big Data, 2022)

FedProb: An Aggregation Method Based on Feature Probability Distribution for Federated Learning on Non-IID Data. - Do-Van Nguyen; Anh-Khoa Tran; Koji Zettsu (IEEE Big Data, 2022)

Federated Learning for Air Quality Index Prediction: An Overview. - Duy-Dong Le; Anh-Khoa Tran; Minh-Son Dao; Mohamed Saleem Haja Nazmudeen; Viet-Tiep Mai; Nhat-Ha Su (KSE, 2022)

FedMCRNN: Federated Learning using Multiple Convolutional Recurrent Neural Networks for Sleep Quality Prediction. - Tran Anh Khoa; Do-Van Nguyen; Phuoc Van Nguyen Thi; Koji Zettsu (ICDAR@ICMR, 2022)

Insights into Multi-Model Federated Learning: An Advanced Approach for Air Quality Index Forecasting. - Le Duy Dong; Tran Anh Khoa; Minh-Son Dao; Kieu-Chinh Nguyen-Ly; Hoang-Son Le; Xuan-Dao Nguyen-Thi; Thanh-Qui Pham; Van-Luong Nguyen; Bach-Yen Nguyen-Thi (Algorithms, 2022)

AOP: Towards Adaptive Offloading Point Approach in a Federated Learning Framework for Edge AI Applications. - Tran Anh Khoa; Do-Van Nguyen; Minh-Son Dao; Koji Zettsu (ICPADS, 2023)

RBBA: ResNet - BERT - Bahdanau Attention for Image Caption Generator. - Duc-Hieu Hoang; Anh-Khoa Tran; Duc Ngoc Minh Dang; Phuong-Nam Tran 001; Hanh Dang-Ngoc; Cuong Tuan Nguyen (ICTC, 2023)

Federated Learning in Smart Agriculture: An Overview. - Duy-Dong Le; Minh-Son Dao; Anh-Khoa Tran; Thai-Binh Nguyen; Hong-Gam Le-Thi (KSE, 2023)

A Transfer Learning Approach to Breast Cancer Classification in a Federated Learning Framework. - Y. Nguyen Tan; Vo Phuc Tinh; Pham Duc Lam; Nguyen Hoang Nam; Tran Anh Khoa (IEEE Access, 2023)

An efficient energy measurement system based on the TOF sensor for structural crack monitoring in architecture. - Tran Anh Khoa; Pham Duc Lam; Nguyen Hoang Nam (J. Inf. Telecommun., 2023)

Design and implementation of a VoIP PBX integrated Vietnamese virtual assistant: a case study. - Hoang Hai Son; Tran Anh Khoa; Thanh Phong Doan; Huu Khoa Tran; Duc Ngoc Minh Dang; Hoang Nam Nguyen (J. Inf. Telecommun., 2023)

A Survey of Model Compression and Its Feedback Mechanism in Federated Learning. - Duy-Dong Le; Anh-Khoa Tran; The Bao Pham; Nguyen Huynh-Tuong (ICDAR@ICMR, 2024)

Clustering-Enhanced Reinforcement Learning for Adaptive Offloading in Resource-Constrained Devices. - Tran Anh Khoa; Minh-Son Dao; Do-Van Nguyen; Koji Zettsu (SMARTCOMP, 2024)

Joint Federated Learning Using Deep Segmentation and the Gaussian Mixture Model for Breast Cancer Tumors. - Nguyen Tan-Y; Pham Duc Lam; Vo Phuc Tinh; Duy-Dong Le; Nguyen Hoang Nam; Tran Anh Khoa (IEEE Access, 2024)

CroSSHeteroFL: Cross-Stratified Sampling Composition-Fitting to Federated Learning for Heterogeneous Clients. - Vo Phuc Tinh; Hoang Hai Son; Nguyen Hoang Nam; Duc Ngoc Minh Dang; Duy-Dong Le; Thai-Binh Nguyen; Thanh-Qui Pham; Van-Luong Nguyen; Duy-Thanh Huynh; Tran Anh Khoa (IEEE Access, 2024)

A novel solution for energy-saving and lifetime-maximizing of LoRa wireless mesh networks. - Hoang Hai Son; Vo Phuc Tinh; Duc Ngoc Minh Dang; Bui Thi Duyen; Duy-Dong Le; Thai-Thinh Dang; Nguyen Quoc Hung; Thanh-Qui Pham; Van-Luong Nguyen; Tran Anh Khoa; Nguyen Hoang Nam (J. Inf. Telecommun., 2024)

Safety Is Our Friend: A Federated Learning Framework Toward Driver's State and Behavior Detection. - Tran Anh Khoa; Nguyen Dang Trac; Vo Phuc Tinh; Hoang Nam Nguyen; Duc Ngoc Minh Dang; Hoang Hai Son; Pham Duc Lam (IEEE Trans. Comput. Soc. Syst., 2024)

Latency-Aware Split Learning Optimization via Genetic Algorithms. - Le Hoang Trung; Tan-Y. Nguyen; Duy-Dong Le; Thai-Thinh Dang; Tran Anh Khoa (ICDAR@ICMR, 2025)