Do-Van Nguyen

According to our database, Do-Van Nguyen authored at least 23 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

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

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

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

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

FedProb: An Aggregation Method Based on Feature Probability Distribution for Federated Learning on Non-IID Data.

Do-Van Nguyen, Anh-Khoa Tran, Koji Zettsu

Proceedings of the IEEE International Conference on Big Data, 2022

splitDyn: Federated Split Neural Network for Distributed Edge AI Applications.

Tran Anh Khoa, Do-Van Nguyen, Minh-Son Dao, Koji Zettsu

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Models to Predict Sleeping Quality from Activities and Environment: Current Status, Challenges and Opportunities.

Thi Phuoc Van Nguyen, Do Van Nguyen, Koji Zettsu

Proceedings of the ICDAR@ICMR 2021: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval, 2021

Spatially-distributed Federated Learning of Convolutional Recurrent Neural Networks for Air Pollution Prediction.

Do Van Nguyen, Koji Zettsu

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

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

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2019

A Hierarchical Deep Deterministic Policy Gradients for Swarm Navigation.

Hung The Nguyen, Tung Nguyen, Do-Van Nguyen, Thanh-Ha Le

Proceedings of the 11th International Conference on Knowledge and Systems Engineering, 2019

Reinforcement Learning Based Navigation with Semantic Knowledge of Indoor Environments.

Tai-Long Nguyen, Do-Van Nguyen, Thanh-Ha Le

Proceedings of the 11th International Conference on Knowledge and Systems Engineering, 2019

Sharing Experience in Multitask Reinforcement Learning.

Tung-Long Vuong, Do Van Nguyen, Tai-Long Nguyen, Cong-Minh Bui, Hai-Dang Kieu, Viet-Cuong Ta, Quoc-Long Tran, Thanh Ha Le

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Parallel Computation of Rough Set Approximations in Information Systems with Missing Decision Data.

Thinh Cao, Koichi Yamada, Muneyuki Unehara, Izumi Suzuki, Do Van Nguyen

Comput., 2018

Vision Memory for Target Object Navigation Using Deep Reinforcement Learning: An Empirical Study.

Do Van Nguyen, Tung-Long Vuong, Hai-Dang Kieu, Linh Pham, Thanh Ha Le

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Incremental Updating Methods with Three-Way Decision Models in Incomplete Information Systems.

Huyen Tran, Thinh Cao, Koichi Yamada, Do Van Nguyen

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

Real-Time Image Semantic Segmentation Networks with Residual Depth-Wise Separable Blocks.

Van-Viet Doan, Duy-Hung Nguyen, Quoc-Long Tran, Do Van Nguyen, Thanh Ha Le

Proceedings of the 2018 Joint 10th International Conference on Soft Computing and Intelligent Systems (SCIS) and 19th International Symposium on Advanced Intelligent Systems (ISIS), 2018

Aerial Image Semantic Segmentation Using Neural Search Network Architecture.

Duc-Thinh Bui, Trong-Dat Tran, Thi-Thuy Nguyen, Quoc-Long Tran, Do Van Nguyen

Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2018

2017

Rough Set Model in Incomplete Decision Systems.

Thinh Cao, Koichi Yamada, Muneyuki Unehara, Izumi Suzuki, Do Van Nguyen

J. Adv. Comput. Intell. Intell. Informatics, 2017

Moving Object Detection in Compressed Domain for High Resolution Videos.

Hoa Minh Nguyen, Tung Long Vuong, Dinh Nam Nguyen, Do Van Nguyen, Thanh Ha Le, Thuy Thi Nguyen

Proceedings of the Eighth International Symposium on Information and Communication Technology, 2017

2016

Semi-supervised based rough set to handle missing decision data.

Thinh Cao, Koichi Yamada, Muneyuki Unehara, Izumi Suzuki, Do Van Nguyen

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015

Editing Training Sets from Imbalanced Data Using Fuzzy-Rough Sets.

Do Van Nguyen, Keisuke Ogawa, Kazunori Matsumoto, Masayuki Hashimoto

Proceedings of the Artificial Intelligence Applications and Innovations, 2015

2014

Rough Set Approach with Imperfect Data Based on Dempster-Shafer Theory.

Do Van Nguyen, Koichi Yamada, Muneyuki Unehara

J. Adv. Comput. Intell. Intell. Informatics, 2014

2013

Extended Tolerance Relation to Define a New Rough Set Model in Incomplete Information Systems.

Do Van Nguyen, Koichi Yamada, Muneyuki Unehara

Adv. Fuzzy Syst., 2013

On Probability of Matching in Probability Based Rough Set Definitions.

Do Van Nguyen, Koichi Yamada, Muneyuki Unehara

Proceedings of the IEEE International Conference on Systems, 2013

2012

Rough set model based on Parameterized Probabilistic similarity relation in incomplete decision tables.

Do Van Nguyen, Koichi Yamada, Muneyuki Unehara

Proceedings of the 6th International Conference on Soft Computing and Intelligent Systems (SCIS), 2012