Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of... by Ronald P. Dillner, Maria A. Wimmer, Matthias Porten, Thomas Udelhoven, Rebecca Retzlaff

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Monitoring Socio-Economic Trends: Tools and Limitations by N. G. Kurakova, О. А. Yeremchenko

“…To achieve the sovereignization of the domestic sector of socio-economic research, it is important to formulate a new conceptual apparatus of the current socio-economic policy, as well as to develop instrumental and methodological support for the trend tracking process.The analysis of professional and open trendwatching algorithms used in this study gives grounds to note that the only area in which the trend monitoring process relies on developed methodology and tools is the creative industries. …”
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Text classification by CEFR levels using machine learning methods and BERT language model by Nadezhda S. Lagutina, Ksenia V. Lagutina, Anastasya M. Brederman, Natalia N. Kasatkina

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Application of “high-fidelity and high-resolution” processing technology in thin reservoir identification: A case study of the deep Permian Maokou Formation in Penglai area, centra... by PENG Haotian, HE Qinglin, CHEN Kang, ZENG Ming, HE Zongqiang, TU Zhihui, KONG Lingxia, QU Bozhang

“…In addition, the “high-fidelity and high-resolution” processing technology involving the concept of “protecting low frequencies and enhancing high frequencies” throughout the processing workflow was proposed. …”
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D-band Millimeter Wave Generation and Transmission Though Radio-Over-Fiber System by Jing Ling Li, Feng Zhao, Jianjun Yu

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80-GHz RoF Based on Push–Pull Modulator by F. Zhao, J. L. Li, J. M. Gong, J. R. Bai, S. Y. Liang, Z. Q. Hui, D. D. Han, B. Liu, X. J. Xin

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<strong>First record of hard tick species, <em>Hyalomma marginatum marginatum</em> and <em>H. marginatum rufipes</em> (Acari: Ixodidae), as probable vectors of Crimean-Congo hemorr... by Moslem Adeli-Sardou, Kourosh Azizi, Aboozar Soltani, Mohammad Djaefar Moemenbellah-Fard

“… Ticks (Acari: Ixodidae) are one of the most successful and widespread vectors of zoonotic pathogens of medical interest. …”
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Machine learning algorithms for manufacturing quality assurance: A systematic review of performance metrics and applications by Ashfakul Karim Kausik, Adib Bin Rashid, Ramisha Fariha Baki, Md Mifthahul Jannat Maktum

“…DTs provide better interpretability for process control, and KNN is effective for small-scale QA implementations. …”
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STUDY ON KINEMATICS AND SINGULAR POSITION OF A 5-AXIS MACHINE TOOL by LAI Xiao

“…According to the AC-type five-axis machine used in Lab,the kinematic matrix transformation of the five-axis coordinate is analyzed,and the mathematical relation between the tool axis vector and the angle of the rotation table is finally obtained. …”
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Structural Vibration Detection Using the Optimized Optical Flow Technique and UAV After Removing UAV’s Motions by Xin Bai, Rongliang Xie, Ning Liu, Zi Zhang

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APPLICATION OF SEMI SUPERVISED LAPLACE SCORE IN ROLLING BEARING FAULT DIAGNOSIS (MT) by LIANG Chuang, CHEN ChangZheng, LIU Ye, JIA XinYing

“…At the same time, particle swarm optimization-based support vector machine（PSO-SVM） algorithm is used for fault classification. …”
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THE METHOD OF ADAPTIVE STATISTICAL CODING TAKING INTO ACCOUNT THE STRUCTURAL FEATURES OF VIDEO IMAGES by Volodymyr Barannik, Dmytro Havrylov, Serhii Pantas, Yurii Tsimura, Tatayna Belikova, Rimma Viedienieva, Vasyl Kryshtal

“…This method is advisable to use in the technology of multi-level processing of video data based on the JPEG method. The technology is based on the detection of key information at several stages of video data processing. …”
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Specific Features of Russian Economy Development on the Current Stage by L. I. Kochurova, E. I. Kharlampenkov, Yu. N. Kleshchevskiy, S. L. Engel, V. V. Andreev

“…The chief goal of state is to re-orientate from resource-mining to resource – processing, which complies with the concept of added value and shall ensure the sustainable development of economic growth. …”
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Application of machine learning to optimized design of layer structured particles by Hiroki GONOME, Hirotake SATO, Tatsuro HIRAI

“…Three types of machine learning were used: neural networks, support vector machines, and light gradient boosting machines. …”
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AC contactor fault recognition based on ERF and BO-SVC by LIU Shuxin, QI Xinzhi, LYU Xianfeng

“…Subsequently, the ERF is employed to perform feature selection and reduction on the balanced samples. This process leads to the extraction of optimal features that represent the dynamic patterns of AC contactor state changes. …”
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Functional Diagnosis of Digital State Automation Networks by I. V. Bystrova, B. P. Podkopaev

“…Next, the result generalizes for the case of vector functions, where multiple errors can occur. …”
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Sound Sensing: Generative and Discriminant Model-Based Approaches to Bolt Loosening Detection by Liehai Cheng, Zhenli Zhang, Giuseppe Lacidogna, Xiao Wang, Mutian Jia, Zhitao Liu

“…In this article, a whole set of signal processing procedures are proposed and a new kind of damage index vector is constructed to strengthen the reliability and robustness of this method. …”
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Analysis and Non-Invasive Diagnostics of Bearing Faults in Three-Phase Induction Motors by Juan Barreno, Fernando Bento, Antonio J. Marques Cardoso

“…The proposed signal-processing analysis tool is based on the non-invasive monitoring of stator electrical currents. …”
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Machine Learning-Assisted Mitigation of Optical Multipath Interference in PAM4 IM-DD Transmission Systems by Wenxin Cui, Jiahao Huo, Jin Zhu, Jianlong Tao, Peng Qin, Xiaoying Zhang, Haolin Bai

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Machine learning algorithm to predict in-hospital mortality after aneurysmal subarachnoid hemorrhage by Juri V. Kivelev, Alexey L. Krivoshapkin, Albert A. Sufianov

“…Machine learning (ML) methodology surpasses the traditional tools of statistical analysis in processing big data clinical datasets .Aim. To develop an ML algorithm of application of recurrent neural network to analyze clinical datasets of patients with aneurysmal subarachnoid hemorrhage (SAH).Materials and methods. …”
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