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  1. No Access

    Chapter and Conference Paper

    Yolo V3 for Market MBFVS Food Materials Detection

    The food industry development reports that currently to reach the food production in a smartly automation manner, in which many challenges are still met, particularly in terms of the machine vision for advance...

    Ta-Wen Kuan, **aodong Yu, Qi Wang, Yihan Wang in Genetic and Evolutionary Computing (2024)

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    Chapter and Conference Paper

    Implementation of Campus Pedestrian Detection Using YOLOv5

    This study focuses on the development of accurate human detection using the YOLO open-source deep learning framework derived from OpenCV. The aim is to implement campus pedestrian detection. YOLO is a rapidly ...

    Yuh-Chung Lin, Ta-Wen Kuan, Shih-Pang Tseng… in Genetic and Evolutionary Computing (2024)

  3. No Access

    Chapter and Conference Paper

    Multi-scale Convolution Kernels and Residual Components for Deciduous Leaves Detection

    The paper investigates the efficiency of Yolo v5 in terms of four versions, including, Yolo v5s, Yolo v5m, Yolo v5l, Yolo v5x, for small object detection, by discussed the structures of two main components in ...

    **aodong Yu, Ta-Wen Kuan, Shunnian Luo, Yuh-Chung Lin… in Genetic and Evolutionary Computing (2024)

  4. No Access

    Chapter and Conference Paper

    Research on Value-Added Evaluation of University Teachers Based on University Functions

    Based on the functions of university personnel training, scientific research and social services, this paper discusses the research status, value and advantages of the value-added value of university teachers ...

    Lin Li, Shi wei, Ta Wen Kuan in Genetic and Evolutionary Computing (2024)