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Publication search results
found 114 matches
- 2024
- Thanh-Nghi Do, Minh-Thu Tran-Nguyen:
ImageNet classification with Raspberry Pis: federated learning algorithms of local classifiers. Int. J. Web Inf. Syst. 20(1): 48-65 (2024) - Minh-Quan Le, Tam V. Nguyen, Trung-Nghia Le, Thanh-Toan Do, Minh N. Do, Minh-Triet Tran:
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation. AAAI 2024: 2874-2881 - Hoa Nguyen Thanh Doan, Phu Ngoc Thien Nguyen, Bang Cong Bui, Nghia Duc Phan:
Optimizing Edge Device Routing in Edge Computing: Harnessing the Synergy of Distributed Processing and Correlation Analysis. ICSCA 2024: 368-372 - 2023
- Trung-Nghia Le, Tam V. Nguyen, Minh-Quan Le, Trong-Thuan Nguyen, Viet-Tham Huynh, Trong-Le Do, Khanh-Duy Le, Mai-Khiem Tran, Nhat Hoang-Xuan, Thang-Long Nguyen-Ho, Vinh-Tiep Nguyen, Nhat-Quynh Le-Pham, Huu-Phuc Pham, Trong-Vu Hoang, Quang-Binh Nguyen, Trong-Hieu Nguyen Mau, Tuan-Luc Huynh, Thanh-Danh Le, Ngoc-Linh Nguyen-Ha, Tuong-Vy Truong-Thuy, Truong Hoai Phong, Tuong-Nghiem Diep, Khanh-Duy Ho, Xuan-Hieu Nguyen, Thien-Phuc Tran, Tuan-Anh Yang, Kim-Phat Tran, Nhu-Vinh Hoang, Minh-Quang Nguyen, Hoai-Danh Vo, Minh-Hoa Doan, Hai-Dang Nguyen, Akihiro Sugimoto, Minh-Triet Tran:
SketchANIMAR: Sketch-based 3D animal fine-grained retrieval. Comput. Graph. 116: 150-161 (2023) - Nghia Nguyen, Long Luu, Phuong Vo, Sang Nguyen, Cuong T. Do, Ngoc-Thanh Nguyen:
Reinforcement learning - based adaptation and scheduling methods for multi-source DASH. Comput. Sci. Inf. Syst. 20(1): 157-173 (2023) - Xuan Truong Tran, Viet-Ha Nhu, Doan Thi Nam Phuong, Le Thanh Nghi, Nguyen Nhu Hung, Pham Viet Hoa, Dieu Tien Bui:
A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas. Remote. Sens. 15(14): 3458 (2023) - Ti-Hon Nguyen, Thanh Ma, Thanh-Nghi Do:
LAVETTES: Large-scAle-dataset Vietnamese ExTractive TExt Summarization Models. FDSE 2023: 273-288 - Thanh-Tri Trang, Thanh Ma, Thanh-Nghi Do:
LORAP: Local Deep Neural Network for Solar Radiation Prediction. FDSE 2023: 366-380 - Tri-Thuc Vo, Thanh-Nghi Do:
Biggest Margin Tree for the Multi-class Classification. FDSE 2023: 34-48 - Phuoc-Hai Huynh, Luyl-Da Quach, Lan Thi Thu Le, Thanh-Nghi Doan:
Fine-Tuning Deep Neural Networks and SVM to improve Vietnamese Herbal Medicine Classification. ICIIT 2023: 199-202 - Tuyen Phong Truong, Doan Thanh Nguyen, Nghia Trong Nguyen:
Hydrological Monitoring System Design and Implementation for River Embankment Protection. ICSCA 2023: 131-136 - Thanh Ma, Thanh-Nghi Do, Nguyen-Khang Pham, Minh-Thu Tran-Nguyen, Tri-Thuc Vo, Salem Benferhat:
ViWaT: A Lightweight Ontology of the Vietnamese Wastewater Treatment Management with Biological Methodologies. ENIGMA@KR 2023: 24-34 - Nguyen Van Nghi, Do Quang Trung, Dinh Tien Thanh:
Two Novel Variants of ECDH Key Exchange Protocol Using Schnorr Zero-Knowledge Proof. KSE 2023: 1-4 - Binh Nguyen, Son Huynh, Quoc Khanh Tran, An Tran-Hoai Le, An Trong Nguyen, Tung Tran Nguyen Doan, Thuy-An Phan-Thi, Le Thanh Nguyen, Nghia Hieu Nguyen, Dang Huynh:
ViASR: A Novel Benchmark Dataset and Methods for Vietnamese Automatic Speech Recognition. PACLIC 2023: 387-397 - Tan-Hiep To, Thanh-Nghi Do, Duc-Nghia Ngo, Minh-Triet Tran, Trung-Nghia Le:
Budget-Aware Road Semantic Segmentation in Unseen Foggy Scenes. RIVF 2023: 171-176 - Minh-Quan Le, Tam V. Nguyen, Trung-Nghia Le, Thanh-Toan Do, Minh N. Do, Minh-Triet Tran:
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation. CoRR abs/2303.05105 (2023) - Trung-Nghia Le, Tam V. Nguyen, Minh-Quan Le, Trong-Thuan Nguyen, Viet-Tham Huynh, Trong-Le Do, Khanh-Duy Le, Mai-Khiem Tran, Nhat Hoang-Xuan, Thang-Long Nguyen-Ho, Vinh-Tiep Nguyen, Nhat-Quynh Le-Pham, Huu-Phuc Pham, Trong-Vu Hoang, Quang-Binh Nguyen, Trong-Hieu Nguyen Mau, Tuan-Luc Huynh, Thanh-Danh Le, Ngoc-Linh Nguyen-Ha, Tuong-Vy Truong-Thuy, Truong Hoai Phong, Tuong-Nghiem Diep, Khanh-Duy Ho, Xuan-Hieu Nguyen, Thien-Phuc Tran, Tuan-Anh Yang, Kim-Phat Tran, Nhu-Vinh Hoang, Minh-Quang Nguyen, Hoai-Danh Vo, Minh-Hoa Doan, Hai-Dang Nguyen, Akihiro Sugimoto, Minh-Triet Tran:
SketchANIMAR: Sketch-based 3D Animal Fine-Grained Retrieval. CoRR abs/2304.05731 (2023) - Nghia T. Nguyen, Long Luu, Phuong Luu Vo, Thi Thanh Sang Nguyen, Cuong T. Do, Ngoc-Thanh Nguyen:
Reinforcement Learning -based Adaptation and Scheduling Methods for Multi-source DASH. CoRR abs/2308.11621 (2023) - Minh-Quan Le, Minh-Triet Tran, Trung-Nghia Le, Tam V. Nguyen, Thanh-Toan Do:
Unveiling Camouflage: A Learnable Fourier-based Augmentation for Camouflaged Object Detection and Instance Segmentation. CoRR abs/2308.15660 (2023) - Van-Hau Pham, Hien Do Hoang, Phan Thanh Trung, Van Dinh Quoc, Trong-Nghia To, Phan The Duy:
Raijū: Reinforcement Learning-Guided Post-Exploitation for Automating Security Assessment of Network Systems. CoRR abs/2309.15518 (2023) - 2022
- Thanh-Nghi Do:
Incremental and parallel proximal SVM algorithm tailored on the Jetson Nano for the ImageNet challenge. Int. J. Web Inf. Syst. 18(2/3): 137-155 (2022) - Duc Anh Nguyen, Van Thanh Pham, Doan Tu Lap, Tuan-Khai Nguyen, Van An Tran, Duc-Tan Tran, Huu An Nguyen, Nhu Dinh Dang:
Efficient Forest Fire Detection using Rule-Based Multi-color Space and Correlation Coefficient for Application in Unmanned Aerial Vehicles. KSII Trans. Internet Inf. Syst. 16(2): 381-404 (2022) - Trung-Nghia Le, Yubo Cao, Tan-Cong Nguyen, Minh-Quan Le, Khanh-Duy Nguyen, Thanh-Toan Do, Minh-Triet Tran, Tam V. Nguyen:
Camouflaged Instance Segmentation In-the-Wild: Dataset, Method, and Benchmark Suite. IEEE Trans. Image Process. 31: 287-300 (2022) - Thanh-Nghi Do, Minh-Thu Tran-Nguyen:
ImageNet Challenging Classification with the Raspberry Pis: A Federated Learning Algorithm of Local Stochastic Gradient Descent Models. FDSE (CCIS Volume) 2022: 131-144 - Ti-Hon Nguyen, Thanh-Nghi Do:
Extractive Text Summarization on Large-scale Dataset Using K-Means Clustering. IEA/AIE 2022: 737-746 - Ba-Lam Do, Hoang-Nam Dinh, Van-Thanh Nguyen, Manh-Hung Tran, Thanh-Long Le, Viet-Thang Nghiem:
B4E: A System for Creating and Validating Digital Credentials using Remote Signing and Blockchain. SoICT 2022: 420-426 - Thanh-Nghi Do:
ImageNet Challenging Classification with the Raspberry Pi: An Incremental Local Stochastic Gradient Descent Algorithm. CoRR abs/2203.11853 (2022) - 2021
- Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, Tam V. Nguyen:
MirrorNet: Bio-Inspired Camouflaged Object Segmentation. IEEE Access 9: 43290-43300 (2021) - Duy Suu Nguyen, Quy Hao Nghiem, Thanh Nhan Do:
Non-Performing Loans of Commercial Banks, and Their Causes: Evidence from Vietnam. J. Adv. Eng. Comput. 5(4): 239 (2021) - Thanh-Nghi Do:
Training Neural Networks on Top of Support Vector Machine Models for Classifying Fingerprint Images. SN Comput. Sci. 2(5): 355 (2021)
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