Research on the Method of Detecting the Spreading Rate of the Simultaneous Crushed Stone Sealing Layer Based on Machine Vision by Xin Rong, Honghai Liu, Xinmin Gao, Qinghua Bian

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Edge Computing-Based Machine Vision for Non-Invasive and Rapid Soft Sensing of Mushroom Liquid Strain Biomass by Libin Wu, Guimiao Xiao, Deyao Huang, Xiandong Zhang, Dapeng Ye, Haiyong Weng

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Automated Long-Term Monitoring of Parallel Microfluidic Operations Applying a Machine Vision-Assisted Positioning Method by Hon Ming Yip, John C. S. Li, Kai Xie, Xin Cui, Agrim Prasad, Qiannan Gao, Chi Chiu Leung, Raymond H. W. Lam

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A New Method for Detecting Compensation Hole Parameters of Automobile Brake Master Cylinder Based on Machine Vision by Changfu Zhao, Hongchang Ding, Guohua Cao, Ying Zhang

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Environmental Effects in Life Cycle Assessment of Machine-Vision-Driven Spall Repair Material Estimation for Sustainable Road Maintenance by Junhwi Cho, Shanelle Aira Rodrigazo, Hwang-Hee Kim, Su-Jin Lee, Chan Gi Park, Jaeheum Yeon

“…This study highlights the potential of machine-vision-driven repair material quantity takeoff as a more efficient and sustainable alternative. …”
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A Correlation Analysis-Based Structural Load Estimation Method for RC Beams Using Machine Vision and Numerical Simulation by Chun Zhang, Yinjie Zhao, Guangyu Wu, Han Wu, Hongli Ding, Jian Yu, Ruoqing Wan

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Development of an ISOBUS-compliant communication node for multiple machine vision systems on wide boom sprayers for nozzle control in spot application schemes by Mozammel Bin Motalab, Ahmad Al-Mallahi, Alex Martynenko, Karama Al-Tamimi, Dimitrios S. Paraforos

“…This enabled the integration of multiple machine vision systems and simultaneous control of as many as 60 nozzles based on pest detection results by machine vision. …”
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Multiview Machine Vision Research of Fruits Boxes Handling Robot Based on the Improved 2D Kernel Principal Component Analysis Network by Xinning Li, Hu Wu, Xianhai Yang, Peng Xue, Shuai Tan

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Machine learning-based prediction of soil organic matter via smartphone by Qingying Gao, Yi Chen, Hui Zhang, Jingjing Chen, Liang Wang

Subjects: “…machine vision…”
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The "Low Slow and Small" UAV target detection and tracking algorithm based on improved YOLOv7 and DeepSort by JIAN Yuhong, YANG Huiyue, WANG Xinggang, RONG Yisheng, ZHU Yukun

Subjects: “…anti-drone|machine vision|target detection|target tracking…”
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Discretization of a mathematical model for image analysis based on the optics of spiral beams by S.A. Kishkin, S.P. Kotova

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Printed circuit board recycling: a focus on a novel, efficient and sustainable process for spent critical metals recovery by Charpentier, Nicolas M., Xia, Dong, Gabriel, Jean-Christophe P.

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A Novel FS-GAN-Based Anomaly Detection Approach for Smart Manufacturing by Tae-yong Kim, Jieun Lee, Seokhyun Gong, Jaehoon Lim, Dowan Kim, Jongpil Jeong

Subjects: “…machine vision…”
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Multifeature extraction based MobileViTv3 model for fish feeding behavior recognition from video streaming by Zheng Zhang, Menglu Chen, Qingsong Hu, Yanbing Shen

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UAV With the Ability to Control with Sign Language and Hand by Image Processing by Hediyeh Hojaji, Alireza Delisnav, Mohammad Hossein Ghafouri Moghaddam, Fariba Ghorbani, Shadi Shafaghi, Masoud Shafaghi

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The Application of an Intelligent <i>Agaricus bisporus</i>-Harvesting Device Based on FES-YOLOv5s by Hao Ma, Yulong Ding, Hongwei Cui, Jiangtao Ji, Xin Jin, Tianhang Ding, Jiaoling Wang

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System monitoring intensity of glaze-clear ice generation on wires of overhead transmission lines by V. I. Panteleev, А. V. Maleev

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Vertical two-phase flow regimes in an annulus image dataset - Texas A&M universityMendeley Data by Kaushik Manikonda, Chinemerem Obi, Aarya Abhay Brahmane, Mohammad Azizur Rahman, Abu Rashid Hasan

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Improving Robustness of Biometric Identity Determination with Digital Watermarking by Juha Partala, Angelos Fylakis, Anu Pramila, Anja Keskinarkaus, Tapio Seppänen

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Low-Cost Driver Monitoring System Using Deep Learning by Hady A. Khalil, Sherif A. Hammad, Hossam E. Abd El Munim, Shady A. Maged

“…Recently, there has been growing interest in utilizing machine vision and deep learning for driver monitoring. …”
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