Titlebook: Big Data and Social Computing; 9th China National C Xiaofeng Meng,Zhidong Cao,Xiu-Xiu Zhan Conference proceedings 2024 The Editor(s) (if ap

Limpid

Early Warning Methods Based on a Real Time Series Dataset: A Comparative Studyloyed the Long Short-Term Memory (LSTM) or Transformer network, equipped with a prediction or reconstruction error. Despite these advancements, the majority of existing early warning systems continue to rely on traditional models devoid of artificial neural networks..A comparative analysis of variou

Diskectomy

EG-ConMix: An Intrusion Detection Method Based on?Graph Contrastive Learning Intrusion Detection System (NIDS) by monitoring network traffic, detecting and discovering intrusions, and issuing security alerts promptly. Most intrusion detection research in recent years has been directed towards the pair of traffic itself without considering the interrelationships among them,

黑豹

Network Analysis Reveals Regional Disparity in?COVID-19 Policymakingad. This study conducts a comparative network analysis of policy texts from Hebei and Henan provinces using Network agenda-setting theory and visualization techniques. We identify thematic similarities and differences in the pandemic response by extracting keywords and constructing co-occurrence mat

AVOID

CT-angiography

Mapping Gridded Wealth Index Using Open Geospatial Data in Zambiarm their well-being at the subnational level. While satellite images are overwhelmingly utilized in poverty mapping in these countries, the open geospatial data remains limited integration. This study aims to explore the potential of freely available geospatial data in poverty mapping in sub-Sahara

heartburn

Bidirectional Multi-grain Graph Convolution Network for?Origin-Destination Demand Predictionrvices by minimizing passenger waiting time. Traditional OD demand studies often overlook the bidirectional nature of travel patterns, treating connections as one-way links, which can compromise prediction accuracy. Recognizing the interdependent and distinct characteristics of travel demands betwee

錯事

overhaul

Deep Reinforcement Learning Based Dynamic Bus Timetable Scheduling with?Bidirectional Constraintsthe timetable only for one direction of the bus line, which may lead to the issue of inconsistent departure numbers for the upward and downward directions on the same bus line. For bus companies, it is very important to have an equal number of departures in both directions. To ensure each bus can re

執(zhí)拗

Modeling Knowledge Spillover Effects in High-Speed Rail Development: A Discrete Simulation Approach s a discrete simulation model using cellular automata to investigate the potential impacts of HSR on regional innovation, particularly focusing on knowledge spillover effects. By integrating principles from economic interaction and complex systems theory, the model simulates the spatial distribution

十字架

Educators’ Networking Interacts with Digital Competence Heterogeneity to Enhance the Implementation effectively integrating this technology into teaching practices still remains a challenge for most countries. Educators’ limited digital competencies, coupled with insufficient attention paid to the process of “human-AI integration”, have resulted in a superficial implementation of AI-enabled educa