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Full Description
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.
Contents
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.
