Artificial Intelligence and Machine Learning

Third International Artificial Intelligence Conference, IAIC 2026, Singapore, Singapore, February 6-9, 2026, Revised Selected Papers, Part I
Erscheinungsjahr 2026
ISBN: 978-981-9247-84-4
Verlag: Springer Verlag, Singapore

Buch, Englisch, 504 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Communications in Computer and Information Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Jin, Hai

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Netzwerksicherheit
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Mathematik | Informatik EDV | Informatik Technische Informatik Netzwerk-Hardware

Inhaltsverzeichnis

.- Review of EEG-Based Emotion Recognition Research.

.- HERA-N²: A Heterogeneous AI Ensemble Framework for Robust Anomaly Detection in QKD Networks.

.- A Review of Research Progress on the Fusion Paradigm of Data-Driven and Knowledge-Guided Approaches in Artificial Intelligence.

.- A Communication Traffic Anomaly Detection Method for Autonomous and Controllable Embedded Operating Systems in Power Services.

.- AI-Driven Customer Insight Systems as Determinants of Operational Efficiency in the Hospitality Industry.

.- AutoClean-FG: Automatic Construction of Proxy Validation Sets for Webly Supervised Fine Grained Recognition.

.- Adaptive power allocation strategy for ultra-supercritical unit multi-energy complementary system based on improved bat algorithm and fuzzy control.

.- A DGD3QN-DG Bearing Fault Diagnosis Method Based on Dual Q-Networks.

.- A Machine Learning-based Analysis Framework for Malware Detection and Attribution.

.- STfAKA: Secure Three-factors Authentication and Key Agreement with Forward Secrecy for AI-assisted Devices.

.- Control of a Double-Swing Arm System for Fourier Infrared Spectrometer Based on Adaptive Neural Network Intelligent Algorithms.

.- A Unified Dual-Layer Defense Framework for Robust and Secure Federated Learning.

.- Signal to image transformation for deep siamese-based structural damage detection.

.- Enhancing Sparse Bird's-Eye-View Perception via Adaptive Spatio-Temporal Sampling and Multi-Scale Dense Depth Supervision.

.- Real-Time Three-Dimensional Reconstruction of Sparse Bird's-Eye-View Scenes.

.- A Long and Short-Term Memory Network for Heterogeneous Feature Fusion in College Student Psychological and Academic Risk Prediction.

.- EdgeS-DET: An Edge-Sharpening Detector for UAV-based Infrared Imager.

.- An Optuna-Optimized Dual-Stage Deep Learning Framework for Comprehensive Tongue Image Analysis.

.- Federated Vertical Learning without Data Sharing.

.- TSOD: Typhoon Similarity Based on Overlap and Multidimensional Metric.

.- A Point Cloud Sequence Prediction Model for Meteorological Disaster Early Warning.

.- Study on the Dynamic Performance of Fourier Interferometers Based on Fuzzy PID Algorithms.

.- Identifying Actual Causes Using LLMs.

.- t-Recourse: Actionable Counterfactual Explanations for Customer Churn via t-Way Sampling with IPOG.

.- ART-HPO: Adaptive Random Testing for Efficient Hyperparameter Optimization.

.- A Review of the Application and Development Trends of Artificial Intelligence Technology in Construction Engineering.

.- Development Pathways and Methodologies for Generative Artificial Intelligence in Future Architectural Design.

.- State Awareness and Optimal Control of Boiler Feed Pump Turbine in Deep Peak Shaving Based on GNN-Attention.

.- Adaptive Event-Triggered Fixed-Time Tracking Control for Robotic Manipulators.

.- Predefined-Time Control with Sliding Mode for Robotic Manipulators.

.- A Transformer-Based Approach for Frailty Risk Assessment in Older Adults.

.- DRL-based Latency-Aware Task Scheduling Enhancement for Smart Education.

.- Self-Tuning of Parameters for a Piezoelectric Proportional Valve Controller Based on a BP Neural Network.

.- A Comparative Study on Intelligent Prediction of Pedestrian Head Injury Based on Multi-modal Fusion.

.- Research on Adaptive Network Weight Algorithm for Path Tracking in Moose Driving Situation Based on Deep Reinforcement Learning.

.- Vehicle-Mounted Millimeter-Wave Radar Point Cloud Compression and Cloud-Based Collision Avoidance Model.

.- Multi-Layer Architecture-Based Intelligent Supervision System for Digital Economy Operation.

.- Artificial Intelligence-Based Adaptive Recommendation Framework for Personalized English Learning.