This proceedings volume highlights the latest advancements in information systems and computing technology, showcasing innovative research and practical applications. Readers will find valuable insights into emerging technologies such as machine learning, deep learning, knowledge graphs, and UAV-based solutions. Topics include object detection, intelligent systems, federated learning, remote sensing, and next-generation network optimization, with a strong focus on real-world applications like medical imaging, transportation, and cybersecurity. The volume provides readers with a comprehensive understanding of cutting-edge techniques and their potential to address pressing challenges. Its interdisciplinary approach makes it a resourceful guide for staying updated on technological progress. This book is ideal for researchers, and professionals in computing, engineering, and AI domains seeking to expand their knowledge and apply innovative solutions to their work. It serves as a bridge between theoretical research and practical implementations, fostering collaboration across diverse fields.

Provides original works presented at ISCTech 2025 Showcases cutting-edge research in information systems and computing technology Serves as a valuable reference for academicians, researchers, and industry professionals

Autorentext

Lei Zhang serves as the Chinese Director of the BRICS Joint Research Institute for Spatio-Temporal Data, Vice Dean of the Institute of Traffic Science and Technology, Deputy Director of the Institute of Trusted Artificial Intelligence, and Deputy Director of the Multi-Network, Multi-Mode Rail Transit Innovation and Coordination Center in Shanghai. Previously, he was the Director and Researcher at the Wuxi Research Center of the Shanghai Institute of Technical Physics, Chinese Academy of Sciences, a Zijiang Distinguished Professor at East China Normal University, and Director of the Shanghai Key Laboratory of Multi-Dimensional Information Processing. His main research and development focus include artificial intelligence, spatio-temporal data fusion, intelligent transportation systems, and their industrial applications.

Bo Huang is a distinguished Chair Professor in the Department of Geography at The University of Hong Kong. During his tenure at The Chinese University of Hong Kong, he made significant contributions to the field of Geographic Information Science (GIScience).His research interests include spatial statistics for land use modeling, image fusion for environmental monitoring, and spatial optimization for sustainable planning. Prof. Huang is renowned for developing the Geographically and Temporally Weighted Regression (GTWR) model, a widely adopted method for big spatiotemporal data analysis. He currently serves as an Associate Editor for the International Journal of Geographical Information Science and was the Editor-in-Chief of the three-volume book Comprehensive Geographic Information Systems (Elsevier, 2017). Among his numerous accolades, Professor Huang has received the Chang Jiang Chair Professorship and a Gold Medal at the International Exhibition of Inventions Geneva 2021.

Xu Jin is a professor (of the first grade) in the School of Computer Science at Peking University. He has obtained two PhDs both in science and engineering. His research interests include bio-informatics and bio-computer, graph theory and combinatorial optimization, neural networks and information security, etc. Dr. XU is a member of Educational Advisory Committee of Cyberspace Security, Ministry of Education; deputy director of Circuits and Systems Society branch, Chinese Institute of Electronics; director of Graph Theory and System Optimization Major Committee, Chinese Institute of Electronics; chief scientist of key special subjects of Central Military Commission Science and Technology Committee of China. He has published more than 300 academic papers, about 200 of which have been indexed by SCI. He has presided over tens of national natural science foundation projects, including major projects, major equipment on special, national 863 projects and 973 projects, etc. As the first persons involved, he received one Second Class National Prize of Natural Science and three First Ministerial Prizes of Natural Science. He has acted 5 times as Chairman of the International Conference on Bio-inspired Computing.

Liu Jin is the Deputy Director of the Shipping Information Technology Research Institute and holds leadership roles in several academic organizations, including the Shanghai Society of Cognitive Science and the Shanghai Artificial Intelligence Society. He is also a member of various committees for the Chinese Association for Artificial Intelligence and a reviewer for national projects and international journals such as AIRE, ACM TOMM, and IEEE ACCESS. His research focuses on deep learning, machine vision, natural language processing, and software engineering. He has led over 10 major research projects, published 60+ papers, and holds 20+ patents and software copyrights.

Inhalt

An Efficient Pyramid Transformer for Remote Sensing Image Object Detection.- Straggler Detection Method Based on Parallelism Communication Model in LLM.- HammingTorus: A Network Topology with 2D Torus Structure for Large-Scale Deep Learning.- An MSER-NMS based Experimental Instrument Character Recognition Method.- Visual SLAM via Geometric Dynamic Analysis and Semantic Motion Filtering.- etc.