Proceedings of the 13th International Conference on Information Systems and Computing Technology by Zhang, Lei; Huang, Bo; Xu, Jin; Liu, Jin;

Long description:

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

Table of Contents:

PM STGformer A Simplified SpatioTemporal Graph Transformer for PM25 Concentration Prediction.- MSSLMS A Masked Self Supervised Learning with Muti Scale for Pedestrian Re Identification.- A Prediction Method for Overflow of Stormwater Pipelines Based on GA Attention BiLSTM.- MS DGCNet Multi Scale Dynamic Graph Convolutional Network for Skeleton Based Video Anomaly Detection.- MPI Parallel Generation Algorithm for Cumulative Damage PI Curve Set Based on SDOF.- Pedestrian Re identification Algorithm Based on Combined Features and Attention Enhancement.- TRADE KIE Key Information Extraction from International Trade Documents using Prompted Large Language Models.- Success Prediction of Kickstarter Projects Using Blending based Ensemble Model.- HTLN Hierarchical Transformer LSTM Networks for Multi Agent Trajectory Prediction.- A Meta Conformer Based Spectrum Sensing Scheme for Low Altitude Intelligent Networks.- High Precision Point Cloud Map Dynamic Obstacle Filtering Solution.- Distributed Router Execution.- DSPLR AN Novel Unsupervised Visible Infrared Person Re Identification Framework for Aerial image.- Binary vulnerability detection based on deep learning combined with inline assembly comparison.- Construction of Knowledge Graph based on Language Model.- A Clustering Method for Grid Alarm Logs by Integrating Global and Local Features.- Which Image is Tampered A High fidelity Fingerprinting Scheme for Deepfake Detection and Authentication.- Urban Rail Transit Train Delay Feature Recognition and Prediction Based on Graph Attention Network.- Spectrum Resource Allocation for UAV Network in Low Altitude Intelligent Network Based on Multi Agent Actor Critic.- Modulation Recognition Method for UAV Video Transmission Signals Based on Multi level Attention Mechanisms.- Multivariate Gaussian-Based No Reference Quality Assessment for Spatial Distortion in Pansharpened Images.- Neural Network based Underwater Acoustic Multicarrier Channel Estimator with WGAN GP data augmentation.- Study on Calibration Method of Ground Based Scatterometer.- A Human Visual System Inspired Model for Recipe Prediction of Pre colored Fiber Blends.- An Inter and Intra Boards Congestion Aware Routing Algorithm in the HammingMesh Network Topology for Deep Learning.- Trustless IoT Data Sharing via Lightweight Blockchain and Federated Learning.- Two stage Fusion Based Box Occupancy Perception.- DAMF YOLO A dual attention mechanism fusion model for rust detection on transmission towers.- Research on the Realization Method of End to End Test Automation for Communication Based on AutoIt.- A high precision ESKF based INS MM fusion positioning system with NHC constraints for underground parking lots.- A Review of Heterogeneous Data Fusion and Dynamic Optimization Methods based on Large Models.- Improving the Maneuver Law Identification Effect By Fine grained Enhancement and Large Category Judgment.