Using machine vision to determine the rotational forces of electric motors by O.O. Shelukha, K.V. Molchanova, I.H. Babichev

“…This method involves image processing using special labels that are placed on the dynamometric element. …”
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Stable transformation mediated by Agrobacterium tumefaciens in Jonquil is better than Agrobacterium rhizogenes by Wenjie Yu, Haoran Tian, Yifan Chen, Shanhua Lyu, Yinglun Fan

“…Without selection pressure, the visual reporter Ruby, a system for the biosynthesis of betalains, was used in the LCT method. …”
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AUTOMATIC SEGMENTATION OF TREE CROWNS IN PINE FORESTS USING MASK R-CNN ON RGB IMAGERY FROM UAVS by А. D. Nikitina

“…The Mask R-CNN automatic segmentation method is an effective tool for studying the characteristics of pine forest stands based on RGB orthophotos obtained during UAV surveys; using this method, it is possible to reproduce the results of visual interpretation with high precision. …”
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The state of the art of diagnostic multiparty eye tracking in synchronous computer-mediated collaboration by Tom Frank Reuscher, Peyman Toreini, Alexander Maedche

“…Despite its great potential for studying cognitive processes within groups, the method was primarily used as an interactive tool to enable and evaluate shared gaze visualizations in remote interaction. …”
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Papilledema in Space Flight: Pathogenesis, Diagnostics and Monitoring by I. A. Makarov, S. N. Danilichev

“…Four clinical cases presented in this article. A quantitative method for the analysis of OCT images of the optic nerve head and the retina has been developed for the diagnosis and monitoring of the optic nerve’s state. …”
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Novel Drop‐Sampler for Simultaneous Collection of Stereo‐Video, Environmental DNA and Oceanographic Data by Samuel Thompson, Simon Jarman, Kingsley Griffin, Claude Spencer, Gabrielle Cummins, Julian Partridge, Tim Langlois

“…ABSTRACT There is an increasing interest in environmental DNA (eDNA) as a method to survey marine biota, enhancing traditional survey methods, and a need to ground truth eDNA‐based interpretations with visual surveys to understand biases in both the eDNA and visual datasets. …”
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Feature Extraction for Low-Speed Bearing Fault Diagnosis Based on Spectral Amplitude Modulation and Wavelet Threshold Denoising by Xiaojia Zu, Wenhao Sun, Yuncheng Guo, Yukai Zhao, Haihong Tang, Xue Jiang, Peng Chen

“…Finally, the envelope spectrum is normalized to facilitate the visual display of fault feature frequencies. The proposed method is analyzed through simulated and experimental signals in low-speed. …”
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Attention U-Net-based semantic segmentation for welding line detection by Hunor István Lukács, Bence Zsolt Beregi, Balázs Porteleki, Tamás Fischl, János Botzheim

“…Abstract In industrial processes, quality assurance through methods such as visual inspection is essential for ensuring process stability. …”
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An intelligent optimized object detection system for disabled people using advanced deep learning models with optimization algorithm by Marwa Obayya, Fahd N. Al-Wesabi, Menwa Alshammeri, Huda G. Iskandar

“…The main aim of the ODSDP-ADLMSSO model is to enhance the OD method for visually challenged people. At first, the Gaussian filter (GF) is employed in the image pre-processing stage to remove noise and make the image input data more transparent. …”
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Multiple Instance Learning With Instance-Level Positive-Unlabeled Learning in Anomaly Detection by Ryosuke Matsuo, Shinya Yasuda, Hiroshi Yoshida

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Emotion recognition based on brain and machine collaborative intelligence by Dongjun LIU, Yuhan WANG, Wenfen LING, Yong PENG, Wanzeng KONG

“…Emotion recognition is a direct and effective mode of emotion recognition.Machine learning relies on the formal representation of image expressions, lacks the cognitive representation ability of the brain, and has poor recognition performance on small sample data sets or complex expression (camouflage) data sets.To this end, the formal representation of machine artificial intelligence was combined with the emotional cognitive ability of human brain general intelligence, and a brain-machine collaborative intelligence emotion recognition method was proposed.Firstly, electroencephalogram (EEG) emotional features were extracted from EEG to obtain the brain’s cognitive representation of emotions.Secondly, the visual features of the image were extracted from the emotional image to obtain the machine’s formal representation of the emotion.In order to enhance the generalization ability of the machine model, the transfer adaptation between samples was introduced in the feature learning.After obtaining image visual features and EEG emotional features, the random forest regression model was trained to obtain the brain-machine mapping relationship between image visual features and EEG emotional features.The visual features of the test image were generated through the brain-machine mapping relationship to generate virtual EEG emotional features, and then the virtual EEG emotional features and image visual features were fused for emotion recognition.This method has been verified on the Chinese facial affective picture system (CFAPS) and found that the average recognition accuracy of the seven emotions is 88.51%, which is 3%～5% higher than the image-based method.…”
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Distributed High-Speed Videogrammetry for Real-Time 3D Displacement Monitoring of Large Structure on Shaking Table by Haibo Shi, Peng Chen, Xianglei Liu, Zhonghua Hong, Zhen Ye, Yi Gao, Ziqi Liu, Xiaohua Tong

“…This process eliminates the need for large calibration boards or manual visual adjustments. A distributed computation and reconstruction strategy, employing the alternating direction method of multipliers, enables the global reconstruction of time-sequenced 3D coordinates for all points of interest across multiple devices simultaneously. …”
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面向UG的差速器CAD系统开发 by 郑泉, 陈黎卿, 何钦章

“…Compared with the traditional design method, this method increased design precision and efficiency.…”
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Model-Based Segmentation-Supported Camera Tracking in Fab’s Indoor Environments by Jeonghyeon Ahn, Jungho Ha, Jaemin Son, Junghyun Han

“…The test results show that our tracking method is drift-free, accurate and robust. We envision that it can be used in many applications such as AR-based visual inspection.…”
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Foveated Denoising for Ray Tracing Rendering by Daiyun Guo, Yan Zhang, Xubo Yang

“…The experiment results demonstrate the foveated denoising method provides perceptually comparable image quality to the global DL-based denoising method while saving at least 40.22% computational cost in VR.…”
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Clinical utility of a rapid two-dimensional balanced steady-state free precession sequence with deep learning reconstruction by Katerina Eyre, Moezedin Javad Rafiee, Margherita Leo, Junjie Ma, Elizabeth Hillier, Negin Amini, Josephine Pressacco, Martin A. Janich, Xucheng Zhu, Matthias G. Friedrich, Michael Chetrit

“…Comparative analysis of image quality was measured using Wilcoxon-signed-rank tests and visualized using bar graphs. Results: Sonic DL at an acceleration factor of 8 more closely matched the reference cine method. …”
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Robust Vessel Segmentation in Fundus Images by A. Budai, R. Bock, A. Maier, J. Hornegger, G. Michelson

“…This outperforms state-of-the-art methods.…”
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Efektivitas Audio Flash Card dan Teman Ajar Isyarat terhadap Pengetahuan Protokol Kesehatan Covid-19 pada Anak Disabilitas di Sekolah Luar Biasa Alhidayah Padang by Milletesya Govanda, Yulizawati Yulizawati, Hardisman Hardisman

“…The results show that the education provided was more effective with the Audio Flash Card game method and Friends Teaching Signs because, for children with disabilities, this method is more fun and easier to understand. …”
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Application of Intelligent Archives Management Based on Data Mining in Hospital Archives Management by Juan Li

“…Data mining algorithms mainly include the neural network method, decision tree method, genetic algorithm, rough set method, fuzzy set method, association rule method, and so on. …”
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Quantification of Motor Learning in Hand Adjustability Movements: An Evaluation Variable for Discriminant Cognitive Decline by Kazuya Toshima, Yu Chokki, Toshiaki Wasaka, Tsukasa Tamaru, Yoshifumi Morita

“…Method: To evaluate motor learning through dexterous hand movements, we utilized the iWakka device. …”
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