Titlebook: Intelligent Human Computer Interaction; 15th International C Bong Jun Choi,Dhananjay Singh,Wan-Young Chung Conference proceedings 2024 The

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Automated Fashion Clothing Image Labeling Systemify the joints of the object, distinguish tops and bottoms, and then teach them to Yolo. As a result, this study presents an automated labeling approach that can maintain high accuracy while reducing the time and cost required for manual labeling of fashion clothing images.

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Blockchain Technology as a Defense Mechanism Against Data Tampering in Smart Vehicle Systemschnology and discuss how this technology can be used within smart vehicles to enhance the security and integrity of data generated, stored, and shared. By leveraging the blockchain‘s security features, stakeholders in the automotive industry can pave the way for safer and more reliable smart vehicle

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Classification of Weeds Using Neural Network Algorithms and Image Classifiers demonstrated the results of deep learning based algorithm and compare them to find the best for the classification task. The work highlights the capability of deep learning-based model for efficient weed management, aiding farmers in identifying and controlling weeds while growing crop seedlings, a

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Deep Learning Approach for?Enhanced Object Recognition and?Assembly Guidance with?Augmented Realitytly, deep learning models for the recognition of assembly parts were developed which were based on the Single Shot Multibox Detector (SSD) and the YOLOv7 detector. The models were trained and fine-tuned, targeting on the variations of the positions of detected parts. The effectiveness of this approa