Using Internet of Things for Child Care: A Systematic Review by Saeed Saeedbakhsh, Maryam Mohammadi, Sarina Younesi, Mohammad Sattari

“…Diverse approaches, including cloud computing and machine vision, are applied in this innovative field. …”
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Food Quality Inspection and Grading Using Efficient Image Segmentation and Machine Learning-Based System by V. Hemamalini, S. Rajarajeswari, S. Nachiyappan, M. Sambath, T. Devi, Bhupesh Kumar Singh, Abhishek Raghuvanshi

“…Recently, the application of machine vision and image processing technology to improve the surface quality of fruits and other foods has increased significantly. …”
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Human-Machine Interface for a Smart Wheelchair by Amiel Hartman, Vidya K. Nandikolla

“…The on board computer system is evaluated for cluster processing performance for the smart wheelchair, incorporating camera machine vision and LiDAR perception for terrain obstacle detection, operating in urban scenarios.…”
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New Trends in Robotics for Agriculture: Integration and Assessment of a Real Fleet of Robots by Luis Emmi, Mariano Gonzalez-de-Soto, Gonzalo Pajares, Pablo Gonzalez-de-Santos

“…Computer-based sensors and actuators such as global positioning systems, machine vision, and laser-based sensors have progressively been incorporated into mobile robots with the aim of configuring autonomous systems capable of shifting operator activities in agricultural tasks. …”
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NF-GAT: A Node Feature-Based Graph Attention Network for ASD Classification by Shuaiqi Liu, Beibei Liang, Siqi Wang, Bing Li, Lidong Pan, Shui-Hua Wang

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Digital maturity of the Russian metallurgical industry: drivers and challenges of growth in new geopolitical conditions. Part II. Key directions of digital transformation by I. S. Prokhorova, V. S. Ustinov, A. V. Elkhova

“…The key areas of digital transformation are digital twins, machine vision and artificial intelligence, the creation of metal products and secondary raw materials marketplaces, which corresponds to the global digitalization trend. …”
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A Fatigue Driving Detection Algorithm Based on Facial Motion Information Entropy by Feng You, Yunbo Gong, Haiqing Tu, Jianzhong Liang, Haiwei Wang

“…Research studies on machine vision-based driver fatigue detection algorithm have improved traffic safety significantly. …”
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Enhanced image processing and storage for defect evaluation in BIM of inspected steel bridges by Dogan Karluklu, Cecilia Rinaldi, Marianna Crognale, Lucia Figuli, Vincenzo Gattulli

“…The authors table a procedure that can be followed, starting with storing defect images and ending with defect visualization in the BIM environment, and present a discussion on the advantages and limits of the process by examining concepts such as automated data collection by drones, machine vision-based damage identification by color detection technique, BIM and Industry Foundation Classes standardisation applied to inspection data.…”
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Potato Quality Grading Based on Depth Imaging and Convolutional Neural Network by Qinghua Su, Naoshi Kondo, Dimas Firmanda Al Riza, Harshana Habaragamuwa

“…As a cost-effective and nondestructive detection method, the machine vision technology has been widely applied in the detection of potato defects. …”
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Enhancing spectral imaging with multi-condition image fusion by Joana Teixeira, Tomás Lopes, Diana Capela, Catarina S. Monteiro, Diana Guimarães, Alexandre Lima, Pedro A. S. Jorge, Nuno A. Silva

“…This significantly expands the accessible information compared to conventional imaging approaches such as machine vision. However, despite its potential, spectral imaging also faces specific challenges depending on the limitations of the spectroscopy technique used, such as signal saturation, matrix interferences, fluorescence, or background emission. …”
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Adaptive coordinated control for an under-actuated airplane–tractor system with parameter uncertainties by Pengjie Xu, Weining Huang, Tianrui Zhao, Wei Zhang, Tongwei Lu, Guiyan Qiang, Lin Zhang, Yanzheng Zhao

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Application and Analyzation of the Vision-Based Structure Model Displacement Measuring Method in Cassette Structure Shaking Table Experiment by Wang Yanhua, Wang Cheng, Feng Yan, Dai Bowen, Wu Gang

“…A Python-OpenCV-based structural calculation program combining computer vision and machine vision is developed to extract and calculate the displacement of the artificial targets from the series of the images acquired. …”
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Measurement of Seed Cotton Color Using RGB Imaging and Color-Unet by Hao Li, Qingxu Li, Wanhuai Zhou, Ruoyu Zhang, Shicheng Hong, Mengyun Zhang, Zhiqiang Zhai

“…First, a color detection system utilizing machine vision technology was developed to capture seed cotton images. …”
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Galaxy evolution in the post-merger regime. III -- The triggering of active galactic nuclei peaks immediately after coalescence by Sara Ellison, Leonardo Ferreira, Robert Bickley, Tess Grindlay, Samir Salim, Shoshannah Byrne-Mamahit, Shobita Satyapal, David R. Patton, Jillian M. Scudder

“…The Multi-Model Merger Identifier (MUMMI) machine vision pipeline has been demonstrated to provide reliable predictions of time post-merger (T_PM) for galaxies selected from the Ultraviolet Near Infrared and Optical Northern Survey (UNIONS) up to T_PM=1.76 Gyr after coalescence. …”
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Enhancing Agricultural Disease Detection: A Multi‐Model Deep Learning Novel Approach by Muhammad Khalid Hamid, Said Khalid Shah, Ghassan Husnain, Yazeed Yasin Ghadi, Shahab Ahmad Al Maaytah, Ayman Qahmash

“…The findings indicate that the proposed multi‐model approach allows a scalable, non‐invasive, and contactless machine vision solution for the early detection of diseases in plant leaves, achieving an efficiency of 99% via multimodal classification techniques that incorporate statistical variables including mean, median, mode, skewness, and kurtosis.…”
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Critical band-to-band-tunnelling based optoelectronic memory by Hangyu Xu, Runzhang Xie, Jinshui Miao, Zhenhan Zhang, Haonan Ge, Xuming Shi, Min Luo, Jinjin Wang, Tangxin Li, Xiao Fu, Johnny C. Ho, Peng Zhou, Fang Wang, Weida Hu

“…Abstract Neuromorphic vision hardware, embedded with multiple functions, has recently emerged as a potent platform for machine vision. To realize memory in sensor functions, reconfigurable and non-volatile manipulation of photocarriers is highly desirable. …”
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MONITORING OF FLANK WEAR AND DAMAGE ON TURNING CUTTING TOOLS BY IMAGE PROCESSING by Joseph Kalil Khoury Junior, John Kenneth Schueller, Francisco de Assis Carvalho Pinto, Geice Paula Villibor

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