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OverviewFull Product DetailsAuthor: Chao-Yang Lee , Chun-Li Lin , Hsuan-Ting ChangPublisher: Springer Verlag, Singapore Imprint: Springer Nature Edition: 1st ed. 2024 Volume: 2075 ISBN: 9789819717132ISBN 10: 9819717132 Pages: 241 Publication Date: 28 March 2024 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand  We will order this item for you from a manufactured on demand supplier. Table of ContentsAutonomous 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.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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