This book includes peer reviewed articles from the Fifth International Conference on Intelligent Systems and Networks (ICISN 2025), held at Hanoi in Vietnam. It presents latest research outcomes and results of cutting-edge work reported by the authors, which are very useful for the researchers and industry practitioners. The scope of the proceedings include, but not limited to Foundations of Computer Science; Computational Intelligence, Language and Speech Processing; Software Engineering and Software Development Methods; Wireless Communications, Signal Processing for Communications, Next-Generation Mobile Networks, Internet-of-Things and Sensor Systems; etc. We believe that selected manuscripts will be of great value as references for these emerging areas of research.

Presents peer reviewed articles from ICISN 2025, held at Hanoi in Vietnam Includes topics such as Computational Intelligence, Language/Speech Processing; Mobile networks, IoT, and Sensor Systems Provides a platform for exchange of ideas on latest advance in the field and to foster future collaboration

Autorentext

Dr. Nguyen Thi Dieu Linh is the deputy head of Science and Technology Department, Hanoi University of Industry, Vietnam (HaUI). She has more than 20 years of academic experience in electronics, IoT, Smart Garden, and Telecommunication. She obtained her Ph.D. in Information and Communications Engineering from Harbin Institute of Technology, Harbin, China. Her research interests are in the areas of Artificial Intelligence, Data Analytics, Machine Learning, Deep Learning, and Artificial Intelligence.

Dr. Shiqi Yu is a associate professor in the Department of Computer Science and Engineering at the Southern University of Science and Technology (SUSTech). He received his Ph.D. in Pattern Recognition and Intelligent Systems from the Institute of Automation, Chinese Academy of Sciences, in 2007. His main research areas include gait recognition and object detection.

Dr. Ali Selamat is an academician at Malaysia Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia (UTM), Kuala Lumpur, Malaysia. An academic institution established under the cooperation of Japanese International Cooperation Agency (JICA) and Ministry of Higher Education Malaysia (MOHE) to provide Japanese-oriented engineering education in Malaysia. Currently, he is serving as the dean for the institute. His research interests include cloud computing, software security, software engineering, software agents, web engineering, information retrievals, pattern recognition, genetic algorithms, neural networks, and soft-computing. He received his Dr. Eng. degree from Osaka Prefecture University, Japan.

Dr. Duc-Tan Tran is currently working as a professor and vice dean of the faculty of Electrical and Electronic Engineering (FEEE), Phenikaa University, Vietnam. His research interests include representing, processing, analyzing, and communicating information embedded in signals and datasets.

Inhalt

Optimizing Energy Consumption in LoRa Sensor Networks with the Nano Power System Timer TPL5111 for Forest Monitoring.- A comparative study of predicting stroke based on artificial intelligence algorithms.- Polyp Segmentation based on Mamba-MLP Mixer and Transformer.- Design and Implementation of a Chaos Injector to Improve Resilience in MQTT Based IoT Systems.- Adaptive Sliding Mode Control for Unmanned Surface Vehicle Using RBF Neural Network.- MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel Spatial Attention for Skin Lesion Segmentation.