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Artificial Intelligence and Machine Learning

Third International Artificial Intelligence Conference, IAIC 2026, Singapore, Singapore, February 6–9, 2026, Revised Selected Papers, Part II

Medium: Buch
ISBN: 978-981-9249-72-5
Verlag: Springer
Erscheinungstermin: 07.11.2026
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This CCIS volume constitutes the refereed proceedings of Third International Artificial Intelligence Conference on Artificial Intelligence and Machine Learning, IAIC 2026, held in Singapore, Singapore, during February 6–9, 2026.

The 62 full papers included in this book were carefully reviewed and selected from 144 submissions. The conference featured a broad spectrum of topics, including machine learning, cloud computing and big data, computer vision, robotics, as well as ethical and societal considerations in AI, and other emerging and interdisciplinary areas within the field.

Produkteigenschaften

  • Artikelnummer: 9789819249725
  • Medium: Buch
  • ISBN: 978-981-9249-72-5
  • Verlag: Springer
  • Erscheinungstermin: 07.11.2026
  • Sprache(n): Englisch
  • Auflage: Erscheinungsjahr 2026
  • Serie: Communications in Computer and Information Science
  • Produktform: Kartoniert
  • Seiten: 320
  • Format (B x H): 155 x 235 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

.- Analysis system of college students' labor education participation behavior based on multimodal data mining.

.- A Cloud-Native College English Online Learning Resource System with Multimodal Understanding and Adaptive Recommendation.

.- Intelligent Student Behavior Risk Analysis and Management System Driven by Multi-Channel Deep Learning Algorithms.

.- XGBoosts: The Real Estate Price Prediction Method Based on LSTM.

.- Spark-BERT Based Method for Distributed Sentiment Dynamics Analysis in Social Networks.

.- Application Research on the Integration of Artificial Intelligence and Natural Language Processing.

.- Trusted Data Space-Oriented Dynamic Behavior Auditing Mechanism.

.- A Secure Multi-Modal Communication and Dynamic Routing Framework for IoT in Harsh Electromagnetic Environments.

.- Knowledge Graph Construction via Natural Language Understanding for Intelligent Power Grid Maintenance.

.- From Chains to Cycles: Improving LLM Graph Reasoning with a Reason-Retrospect-Replan Approach.

.- Adaptability Analysis of 5G-Advanced Key Technologies for New Power Systems.

.- Engagement-Aware BERT for Public Health Rumor Detection: A Chinese Social Media Case Study.

.- Structure-Aware Hierarchical Legal RAG with Dynamic Retrieval and Compliance Verification.

.- Research on Digital Recognition and Feature Extraction of Hainan Li Brocade Patterns Based on Deep Learning.

.- Research on Intelligent Unmanned Delivery and Key Technologies.

.- Design of a Pet Hospital Management System Based on YOLO Algorithm.

.- Research on Anomalous Access Detection in E-commerce Based on User Behavior Analysis.

.- A Review on Multi-view Learning Application.

.- Deep unsupervised clustering model with contrastive learning for network intrusion detection.

.- A Survey on Network Intrusion Detection Based on Federated Learning and Generative Adversarial Networks.

.- A Survey of Federated Intrusion Detection: Methods, Attacks and Future Directions.

.- LGDE-IDS:An Intrusion Detection System Based on Label-Guided Diffusion Enhancement.

.- Large-Scale Vulnerability Analysis of IPv6 Network Assets Based on Active Probing.

.- Outlier detection in time series based on the sliding forest.