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Technologies and Applications of Artificial Intelligence : 28th International Conference, TAAI 2023, Yunlin, Taiwan, December 1-2, 2023, Proceedings, Part II
Technologies and Applications of Artificial Intelligence : 28th International Conference, TAAI 2023, Yunlin, Taiwan, December 1-2, 2023, Proceedings, Part II
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ISBN No.: 9789819717132
Pages: xxi, 241
Year: 202403
Format: Trade Paper
Price: $ 110.39
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

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.


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