Technologies and Applications of Artificial Intelligence

This book constitutes the proceedings of the 28th International Conference on Technologies and Applications of Artificial Intelligence, TAAI 2023, which was held in Yunlin, Taiwan, during December 1-2, 2023.
The 35 full papers and 12 short papers included in this book were carefully reviewed and selected from 193 submissions. The TAAI 2023 provides a platform for experts and scholars from domestic and international universities, research units, and industries to exchange AI technologies and application results.

Autonomous navigation development of solar panel cleaning vehicle.- Design and Implementation of Optical Lens Defect Detection and Classification System.- Video Deblocking Using Multipath Deep Neural Networks.- A Mixture-of-Experts (MoE) framework for Pose-Invariant Face Recognition via Local Landmark-centered Feature Extraction.- Context Enhanced Recurrent Neural Network for Session-Aware Recommendation.- Fruit Weight Predicting by Using Hybrid Learning.- Artificial Intelligence for Diagnosis of Pancreatic Cystic Lesions in Confocal Laser Endomicroscopy using Patch-based Image Segmentation.- An Egg Sorting System Combining Egg Recognition Model and Smart Egg Tray.- Survival Factors Analysis of Out-of-Hospital Cardiac Arrest Patients via Effective Data Cleaning Techniques and Explainable Machine Learning.- Automatic Identification of Table Contents in Electronic Component Specifications of EDA.- Air Pollution Source Tracing Framework: Leveraging Microsensors and Wind Analysis for Pollution Source Identification.- Prediction of Execution Probabilities and Attack Probabilities of Werewolf Game Using Machine Learning of Game Logs.- Using Strongly Solved Mini2048 to Analyze Players with N-tuple Networks.- Optimizing 3D Object Detection with Data Importance-based Loss Reweighting.- Structural Topology Optimization Using Genetic Algorithm and Fractals.- Optimal Truncated MobileNet-Based Image Binarization for Pose-Based Visual Servoing of Autonomous Mobile Robot.- Analysis of Significant Cell Differences Between Cancer Patients and Healthy Individuals.- Automated Pediatric Bone Age Assessment using Convolutional Neural Networks.