Duc Tran Le - RankMe

28 papers Journal 10Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Convergent Method for Energy Optimization in Modern Hopfield Networks. Big Data Cogn. Comput. Yida Bao, Mohammad Arifuzzaman, Duc Tran Le, Tao Jiang, Jing Hou, Yuan Xing, Dongfang Hou
2025	J	`jnl`	Are Enterprises Ready for Quantum-Safe Cybersecurity? CoRR Duc Tran Le, Phuc Hao Do, Truong Duy Dinh, Van-Dai Pham
2025	J	`jnl`	Challenges in Applying Variational Quantum Algorithms to Dynamic Satellite Network Routing. CoRR Phuc Hao Do, Duc Tran Le
2025	J	`jnl`	Classifying IoT Botnet Attacks With Kolmogorov-Arnold Networks: A Comparative Analysis of Architectural Variations. IEEE Access Phuc Hao Do, Duc Tran Le, Truong Duy Dinh, Van-Dai Pham
2025	J	`jnl`	Developing Effective Techniques for the Recognition of Shanghai Dialect Text. IEEE Access Yida Bao, Zheng Zhang, Mohammad Arifuzzaman, Duc Tran Le, Qi Li, Masuzyo Mwanza, Jiaqing Lin, Philippe Gaillard, Jiafeng Ye
2025	J	`jnl`	Human-Centered Artificial Intelligence in Higher Education: A Framework for Systematic Literature Reviews. Inf. Thang Le Dinh, Duc Tran Le, Sylvestre Uwizeyemungu, Claudia Pelletier
2025	J	`jnl`	Raising the Bar: An Asymptotic Comparison of Classical and Quantum Shortest Path Algorithms. CoRR Phuc Hao Do, Duc Tran Le
2024	—	`conf`	A Horizontal Federated Learning Approach to IoT Malware Traffic Detection: An Empirical Evaluation with N-BaIoT Dataset. ICACT Phuc Hao Do, Duc Tran Le, Vladimir M. Vishnevsky, Aleksandr Berezkin, Ruslan Kirichek
2024	—	`conf`	A Methodological Framework for Designing Human-Centered Artificial Intelligence Services. ER (Workshops) Thang Le Dinh, Duc Tran Le, Jolita Ralyté
2024	J	`jnl`	Visualizing Portable Executable Headers for Ransomware Detection: A Deep Learning-Based Approach. J. Univers. Comput. Sci. Tien Quang Dam, Nghia Thinh Nguyen, Viet Trung Le, Duc Tran Le, Sylvestre Uwizeyemungu, Thang Le Dinh
2023	—	`conf`	A Horizontal Federated-Learning Model for Detecting Abnormal Traffic Generated by Malware in IoT Networks. ICACT Phuc Hao Do, Duc Tran Le, Vladimir M. Vishnevsky, Aleksandr Berezkin, Ruslan Kirichek
2023	—	`conf`	Leveraging FFT and Hybrid EfficientNet for Enhanced Action Recognition in Video Sequences. SoICT Nang Hung Van Nguyen, Phuc Hao Do, Van-Nam Hoang, Aleksandr Borodko, Duc Tran Le
2023	—	`conf`	SafeDocs: A Machine Learning-Based Framework for Malicious PDF Detection Tailored for SMEs. RIVF Duc Tran Le, Thang Le Dinh, Sylvestre Uwizeyemungu, Xuan Hung Doan, Truong Duy Dinh
2023	—	`conf`	Unveiling the Power of Pretrained Models for Neural Machine Translation in Vietnamese Language: A Comparative Analysis. RIVF Phuc Hao Do, Pham Van Quan, Duc Tran Le, Truong Duy Dinh, Nang Hung Van Nguyen, Minh Tuan Pham
2023	—	`conf`	Utilizing InfoGAN and PE Header Features for Synthetic Ransomware Image Generation: An Experimental Study. FDSE Viet Trung Le, Phuc Hao Do, Sylvestre Uwizeyemungu, Thang Le Dinh, Duc Tran Le
2022	—	`conf`	Blockchain-Driven Hybrid Model for IoT Authentication. NEW2AN Truong Duy Dinh, Duc Tran Le, Khanh Quoc Dang, Vladimir M. Vishnevsky, Ruslan Kirichek
2022	J	`jnl`	DeepPlace: Deep reinforcement learning for adaptive flow rule placement in Software-Defined IoT Networks. Comput. Commun. Tri Gia Nguyen, Trung V. Phan, Dinh Thai Hoang, Hai Hoang Nguyen, Duc Tran Le
2022	—	`conf`	Determination of Subscribers Coordinates using Flying Network for Emergencies. ICACT Truong Duy Dinh, Vladimir M. Vishnevsky, Van-Dai Pham, Duc Tran Le, Ruslan Kirichek, Andrey Koucheryavy
2022	J	`jnl`	Malware Spreading Model for Routers in Wi-Fi Networks. IEEE Access Duc Tran Le, Thong Trung Tran, Khanh Quoc Dang, Reem Alkanhel, Ammar Muthanna
2021	—	`conf`	A Combined Attack Scenario to Exploit the Join Procedure of LoRaWAN. ICUMT Duc Tran Le, Truong Duy Dinh, Van-Dai Pham, Ruslan Kirichek, Egor Filin, Alexander Shestakov
2021	—	`conf`	An Efficient Feature Extraction Method for Attack Classification in IoT Networks. ICUMT Phuc Hao Do, Truong Duy Dinh, Duc Tran Le, Van-Dai Pham, Lyudmila Myrova, Ruslan Kirichek
2021	—	`conf`	Determination of Subscribers Coordinates using Flying Network for Emergencies. ICACT Truong Duy Dinh, Vladimir M. Vishnevsky, Van-Dai Pham, Duc Tran Le, Ruslan Kirichek, Andrey Koucheryavy
2021	—	`conf`	LoRa Link Quality Estimation Based on Support Vector Machine. DCCN Van-Dai Pham, Phuc Hao Do, Duc Tran Le, Ruslan Kirichek
2020	—	`conf`	Evaluation of Routing Protocols for Multi-hop Communication in LPWAN. NEW2AN/ruSMART Van-Dai Pham, Duc Tran Le, Ruslan Kirichek
2020	—	`conf`	Positioning Methods Based on Flying Network for Emergencies. ICACT Ruslan Kirichek, Truong Duy Dinh, Van-Dai Pham, Maxim Zakharov, Duc Tran Le, Andrey Koucheryavy
2020	—	`conf`	Research on Using the AODV Protocol for a LoRa Mesh Network. DCCN Van-Dai Pham, Duc Tran Le, Ruslan Kirichek, Alexander Shestakov
2019	—	`conf`	Flying Ad-Hoc Network for Emergency Based on IEEE 802.11p Multichannel MAC Protocol. DCCN Truong Duy Dinh, Duc Tran Le, Thi Thu Thao Tran, Ruslan Kirichek
2017	—	`conf`	The multipolling mechanism based on the prioritization for WLAN network with multiple access points. ICOIN Duc Tran Le