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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Online stress monitoring during laser-directed energy deposition based on dynamic contour method by Yi Lu, Wenbo Li, Jian Dong, Chen Wang, Rongqi Shen, Kelin Zhu, Bin Wu, Guifang Sun, Jing Rao

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Focusing on Cracks with Instance Normalization Wavelet Layer by Lei Guo, Fengguang Xiong, Yaming Cao, Hongxin Xue, Lei Cui, Xie Han

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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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Automatic Optical Path Alignment Method for Optical Biological Microscope by Guojin Peng, Zhenming Yu, Xinjian Zhou, Guangyao Pang, Kuikui Wang

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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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Innovative segmentation technique for aerial power lines via amplitude stretching transform by Pengfei Xu, Nor Anis Asma Sulaiman, Yafei Ding, Jiangwei Zhao

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Evaluation Performance of Ultrasonic Testing on Fruit Quality Determination by Fikret Yildiz, Ahmet Turan Özdemir, Selman Uluışık

“…Visual appearance (size/volume) was determined using a machine vision system based on image processing techniques. …”
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Side information-driven image coding for hybrid machine–human vision by Zhongpeng Zhang, Ying Liu, Wen-Hsiao Peng

“…After the image codec compresses and transmits the image, the image will be handed over to machine vision task networks. These vision tasks include image classification, semantic segmentation, and so on. …”
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Maximum Butterfly Generators Search in Bipartite Networks by Jianrong Huang, Guangyao Pang, Fei Hao

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Age group classification based on optical measurement of brain pulsation using machine learning by Martti Ilvesmäki, Hany Ferdinando, Kai Noponen, Tapio Seppänen, Vesa Korhonen, Vesa Kiviniemi, Teemu Myllylä

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In situ training of an in-sensor artificial neural network based on ferroelectric photosensors by Haipeng Lin, Jiali Ou, Zhen Fan, Xiaobing Yan, Wenjie Hu, Boyuan Cui, Jikang Xu, Wenjie Li, Zhiwei Chen, Biao Yang, Kun Liu, Linyuan Mo, Meixia Li, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu

“…Moreover, this in-sensor ANN operates 50 times faster than a von Neumann machine vision system. This study paves the way for the development of in-sensor computing systems with in situ training capability, which may find applications in new data-streaming machine vision tasks.…”
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Advanced Driver-Assistance System (ADAS) for Intelligent Transportation Based on the Recognition of Traffic Cones by Liyong Wang, Peng Sun, Min Xie, Shaobo Ma, Boxiong Li, Yuchen Shi, Qinghua Su

“…Great changes have taken place in automation and machine vision technology in recent years. Meanwhile, the demands for driving safety, efficiency, and intelligence have also increased significantly. …”
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Indifferentiable hash functions in the standard model by Juha Partala

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Symmetric Blind Decryption with Perfect Secrecy by Juha Partala

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5G leading digital technology enables the rapid development of agricultural Internet by Gang AN, Yunyong ZHANG, Jinshi WANG, Xuehong YANG

“…With the development of “new infrastructure”, digital village construction of China has ushered in a new climax, digital village of building is not only the strategic direction of rural revitalization, but also an important content of building a digital China.Agricultural Internet is a key link in the construction of digital village.As 5G and other digital technologies continue to penetrated into various fields of agricultural production, China’s agricultural Internet has entered a new stage of rapid development.Focusing on the new changes brought by 5G and other digital technologies to agricultural Internet, through 5G, satellite remote sensing, UAV, artificial intelligence and machine vision to promoted the digital transformation of agricultural production and operation, the future development status and trend of agricultural Internet in China were deeply discussed.…”
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Hardware Architecture for Real-Time Computation of Image Component Feature Descriptors on a FPGA by Abdul Waheed Malik, Benny Thörnberg, Muhammad Imran, Najeem Lawal

“…These descriptors are object related properties used to describe each image component. Embedded machine vision systems demand a robust performance and power efficiency as well as minimum area utilization, depending on the deployed application. …”
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Vibration Analysis and Design of the Oilcan Spraying Robot by Zhang Hong, Chen Lei, Ding Shiyong

“…The designed robot can realize some functions,like automatic lifting,rotating,the movement of the spraying car,the adjustment of spray gun angle,visual feedback,etc by the detection of machine vision and the intelligent judgment. This robot can adapt to the size of each oilcan by adjusting the number of boom sections and the fixed column sections. …”
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Research on polymorphic network application technology oriented intelligent manufacturing by Tao ZOU, Huifeng ZHANG, Wanxin GAO, Qi XU, Congqi SHEN, Jun ZHU, Zhongxia PAN, Xingchang GUO

“…The rise of intelligent manufacturing has induced many new demands on network technology.The polymorphic network separates the network technology from the support environment, supporting the coexistence as well as flexible loading and operation of various network technologies in the same network support environment, and can provide diversified, customizable, and highly reliable network service capabilities.The network environment requirements of intelligent manufacturing were studied, and smart factories were taken as an example to design efficient technical solutions based on the polymorphic network for various application scenarios.Different network technologies were efficiently adapted to application scenarios such as collaborative research and development design, production line control, machine vision quality inspection, unmanned intelligent inspection, accident emergency response, etc.The study verified the technical advantages of applying polymorphic networks to intelligent manufacturing, which could provide strong support for promoting the transformation and upgrading of the manufacturing industry.…”
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A Real-Time Apple Grading System Using Multicolor Space by Hayrettin Toylan, Hilmi Kuscu

“…In the study, a real-time machine vision system classifying apples into four categories with respect to color and size was designed. …”
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