Development of Executive Equipment Design for Implementing the Process of Generating of Drops of Microand Nanoscale Range by M. A. Kuznetsov, D. P. Ilyaschenko, A. V. Kryukov, S. A. Solodsky, E. V. Lavrova, E. V. Verkhoturova

“…Modeling of velocities and temperatures processes distribution in the plasma-forming channel determining the design features and optimal parameters of the plasma torch nozzle is one of promising directions in development of plasma technologies. …”
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Lighting System Control for Cataract Maturity Imaging Device by Katon Bagus Setiawan, I Komang Somawirata, Irmalia Suryani Faradisa

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Enhancing transportation network intelligence through visual scene feature clustering analysis with 3D sensors and adaptive fuzzy control by Jing Xu

“…Subsequently, we introduce a feature aggregation approach based on an adaptive fuzzy control algorithm to carefully screen the preprocessed features. …”
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Effect of adding technologically processed antibodies to interferon-gamma into a parent solution on the structural features of triglycine sulfate crystals grown from this solution by G. O. Stepanov, N. N. Rodionova, R. R. Konstantinov, K. A. Subbotin

“…The study aims to investigate the structural features of TGS crystals grown using aqueous alcoholic solutions of technologically processed antibodies to interferon-gamma, in comparison with those of the crystals grown using the control solutions (technologically processed phosphate-buffered saline and intact aqueous alcoholic solution).Methods. …”
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Monitoring pilot trainees’ cognitive control under a simulator-based training process with EEG microstate analysis by Mengting Zhao, Wenjun Jia, Sion Jennings, Andrew Law, Alain Bourgon, Chang Su, Marie-Hélène Larose, Hugh Grenier, David Bowness, Yong Zeng

“…The present research aims to investigate changes in trainees’ cognitive control levels during a pilot training process while they underwent basic flight maneuvers. …”
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Features of formation of productivity of sweet sorghum hybrids depending on the influence of agrotechnical factors: width of row spacing, crop density and processing by growth regu... by Л. І. Сторожик, О. В. Музика

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Experimental Investigation on Instability of Linear Compressor in Refrigerator by Zou Huiming, Li Can, Tang Mingsheng, Tian Changqing

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Detection of Adversarial Attacks Using Deep Learning and Features Extracted From Interpretability Methods in Industrial Scenarios by Angel Luis Perales Gomez, Lorenzo Fernandez Maimo, Alberto Huertas Celdran, Felix J. Garcia Clemente

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VISION-BASED QUALITY CONTROL OF PRODUCTS IN DIGITAL MANUFACTURING by Theodor BORANGIU, Silviu RĂILEANU, Ionuţ LENŢOIU

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A photovoltaic anomaly data identification method based on image feature detection by QIU Yutao, ZHANG Lei, ZHOU Kaiyun, YAN Min, SUN Jintong, LONG Huan

“…To address this， this paper introduces an anomaly data identification algorithm based on image feature detection and dual-threshold processing. This method maps numerical data to images， transforming the anomaly detection problem into an image processing problem. …”
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Cascade drive: a unified deep learning framework for multi-featured detection and control in autonomous electric vehicles on unstructured roadways by Kushal Kumar Raju, B. Prahal Bhagavath, M. K. Nallakaruppan, Rajesh Kumar Dhanaraj, Soufiane Ben Othman, Obaid Ali

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A Quality Soft Sensing Method Designed for Complex Multi-process Manufacturing Procedures by Kaixiang PENG, Xin QIN, Jiahao WANG, Hui YANG

“…Objective Accurately perceiving key quality variables in complex manufacturing processes is essential for achieving system optimization control and ensuring safe and stable operation. …”
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Research and Application of Lifetime Feature Extraction for PCBs Based on Time-Frequency Transforms by YANG Rufei, LIU Haiyang

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Lightweight Gaussian Process-Based Visual Servoing for Autonomous Wheelchair Sidewalk Navigation by A. H. Abdul Hafez, Ismail Haj Osman, Efgan Ugur, Tolgay Kara

“…The proposed methodology includes creating a specialized dataset, formulating a custom control law, and deploying a lightweight real-time Gaussian Process (GP) model on a Raspberry Pi platform. …”
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Analysis on pulse features of coronary heart disease patients with or without a history of ischemic stroke by Li Xin, Li Wei, Ng Man-In, Parry Natalie Ann, Li Siqi, Li Rui, Guo Rui

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A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes by Jie DONG, Daye LI, Yanmei WEI, Kaixiang PENG, Hui YANG

“…The dynamic and static information of the industrial process is fully utilized to reduce the dimensionality and feature extraction. …”
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EfficientTransformer: A Dynamic Anomaly Detection Model for Industrial Control Networks by Jinyang Liu, Guogang Wang, Xuejun Zong, Bowei Ning, Kan He

“…As industrial control network threats become increasingly complex, traditional intrusion detection systems (IDS) struggle to capture implicit relationships due to feature redundancy and intricate feature interactions. …”
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Formation and development of the controlling system at industrial enterprises by K.O. Buzhymska, I.M. Tsaruk

“…The article investigates and substantiates the need to use the controlling system in the practice of domestic enterprises, identifies its characteristic components and proposes methodological tools that will timely adjust the activities of the enterprise in the process of its production and economic activities. …”
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YOLOv8n-RF: A Dynamic Remote Control Finger Recognition Method for Suppressing False Detection by Yawen Wang, Gaofeng Wang, Yining Yao

“…Addressing the issues of false detection and high detection costs in gesture recognition algorithms for gesture interaction, this paper proposes the YOLOv8n-Remote Finger (YOLOv8n-RF) algorithm for dynamic remote control finger detection. This algorithm utilizes the CRVB-DSConvEMA module in the feature extraction network, adopts the SPPF-DSConvEMA module in the downsampling process, and introduces BiFPN in the Neck layer. …”
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ANALYSIS AND EVALUATION OF ROMANIAN VOICE COMMANDS FOR THE CONTROL OF MECHATRONIC SYSTEMS by BOROZAN, Olesea

“…Emotion recognition from speech, based on artificial intelligence and voice signal processing, is described as an interdisciplinary approach that combines audio processing, voice feature extraction, and machine learning. …”
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