Magnetic properties and magnetic reversal processes of the Sm-Gd-Zr-Co-Cu-Fe alloys by P.A. Rakunov, M.B. Lyakhova, E.M. Semenova, A.Yu.. Karpenkov

“…The results of experimental studies of magnetic properties and magnetization reversal processes of a series of alloys Sm-Gd-Zr-Co-Cu-Fe are presented. …”
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High-tech agricultural tools as a determinant of dynamic rationalization of business processes in Russian agriculture by Moroz Oksana, Medvedsky Dmitriy

“…Automation of agronomic, production and technological processes in agriculture is a key factor in the intensive development of the agro-industrial complex of Russia. …”
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Makine Öğrenimi Yöntemleriyle Bazaltlarda Tek Eksenli Sıkışma Dayanımının Değerlendirilmesi ve Performanslarının Karşılaştırılması by Ayhan Doğan, Nurgül Gültekin

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Seepage area of the cold seep exhibits strong homogeneous selection on prokaryotic community assembly and supports high depth variability of both archaeal and bacterial communities by Xueling Xiong, Furun Li, Haokun Yang, Chunshan Li, Haiming Chen, Dan He, Qinglong L. Wu, Sijun Huang, Lijuan Ren

“…In this study, we comprehensively investigated the microbial depth variability and its underlying assembly process in the seepage and non-seepage areas of Haima Cold Seep. …”
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SEQUENCING OPTICAL IMAGES APPROXIMATED BY HOMOGENEOUS, ONE-DIMENSIONAL POINT RENEWAL PROCESS by Alexander I. Kochegurov, Dmitriy V. Dubinin, Viktor Geringer

“…The optical flow is formed by a homogeneous, one-dimensional point renewal process. The characteristics of the vector field on the image plane of the resulting optical flow are interconnected by the Palm’s formulas. …”
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Vector Autoregressive Spatio-Temporal (VAST) models for biomass distribution of pacific cod Gadus macrocephalus (Gadidae) considering water temperature at the sea bottom in the Wes... by V. V. Kulik, A. B. Savin

“…After stacking with statistical weights and previously published estimates of biomass, the obtained time series allow to estimate dynamics of biological processes deviations from stationary assumptions and to estimate approximately the volume of “extra” cod not considered by these processes in the Bayesian State-Space Surplus Production Model. …”
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Biological Image Processing Algorithm Based on Attention Mechanism and Convolutional Neural Network by Lisong Ou

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Research on Soft Sensing Method of Straw Ethanol Fermentation Process Based on BSVR by Feng Xu, Hong-yu Tang, Bo Wang, Xiang-Lin Zhu

“…Aiming at the problem, a soft sensing model of straw fermented ethanol based on improved support vector regression (SVR) is proposed. Based on the analysis of the process of ethanol production from straw fermentation, the Bayesian method is used to optimize the support vector regression (BSVR). …”
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Estimating contact process saturation in sylvatic transmission of Trypanosoma cruzi in the United States. by Christopher Kribs-Zaleta

“…Results are used to draw conclusions about saturation and which population density drives each of the two contact-based infection processes (stercorarian/bloodborne and oral). Analysis suggests that the vector feeding process associated with stercorarian transmission to hosts and bloodborne transmission to vectors is limited by the population density of vectors when dealing with woodrats, but by that of hosts when dealing with raccoons and opossums, while the predation of hosts on vectors which drives oral transmission to hosts is limited by the population density of hosts. …”
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Detection of the Trajectories of Moving Rectilinearly Air Targets in the Secondary Processing of Radar Information by G. S. Nakhmanson, D. S. Akinshin

“…The primary functions of secondary processing of radar information are to detect and maintain the trajectories of air targets (AT). …”
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Low Cost Safety Data Storage and Processing Framework Under Cloud Environment by Limin Zhang

“…The framework studied data mining algorithms based on the matrix, whose focus was the secure Top-k feature vector algorithm. The algorithm used an iterative processing model and the authorized user interacted with the cloud to achieve the expected result. …”
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Detecting Keratoconus by Using SVM and Decision Tree Classifiers with the Aid of Image Processing by Mosa et al.

“…This is done by using image processing techniques and pattern classification methods. …”
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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 statistical characteristics of process data time series in the production process typically vary over time due to changes in production conditions, unknown external interference, load fluctuations, and other factors. …”
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Natural language processing-based approach for automatically coding ship sensor data by Yunhui Kim, Kwangphil Park, Byeongwoo Yoo

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The Leakage Identification and Location of Ship Pipeline System Based on Vibration Signal Processing by Pan Su, JieChang Wu, Guanghui Chang, Shuyong Liu, Xuejiao Feng

“…The center frequency and energy of the effective component are used as feature vector to train the RBF neural network to identify and locate leakage. …”
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Machine Learning Innovations for Improving Mineral Recovery and Processing: A Comprehensive Review* by Korie, Josephmartin Izuchukwu*, Chudi-Ajabor, Ogochukwu Gabriela, Ezeonyema, Chukwudalu Chukwuekezie, Oshim, Francisca Ogechukwu

“…The emergence of ML algorithms, such as Artificial Neural Networks (ANN), Support Vector Machines, and others, trigger this paradigm. …”
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Approach to design of distributed multi-agent system for processing sound information of the environment by U. A. Vishniakou, B. H. Shaya

“…Three different classification methods are investigated: KNearest neighbors, Gaussian mixture model and Support vector machine.Multi-agent system (M)AS characteristics are given, the classification, trends in the use of multi-agent intelligent technologies for information processing are presented. …”
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Adaptive Prediction of a Random Process Using a Sequential Regression Algorithm by Vladimir A. Golovkov

“…Models of random interferences in the form of infinitely and finitely differentiable random processes were considered. The sequential regression algorithm required to estimate the correlation selection matrix, the selection vector of correlation of the forecast and sample units. …”
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Recent Trends and Advances in Utilizing Digital Image Processing for Crop Nitrogen Management by Bhashitha Konara, Manokararajah Krishnapillai, Lakshman Galagedara

“…A total of 95 articles remained after the screening and selection process. Interest in integrating machine learning and deep learning algorithms with DIP has increased, with the frequently used algorithms—Random Forest, Support Vector Machine, Extreme Gradient Boost, and Convolutional Neural Networks—achieving higher prediction accuracy levels. …”
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Comparison of theoretical and experimental investigation of protonation process of some thiones in acid media by Mirjana S. Jankulovska, Vesna Dimova, Ilinka Spirevska, Milena Jankulovska

“…The protonation process in perchloric and hydrochloric acid took place in one step, while in phosphoric acid was not finished even when its concentration was to the highest degree. …”
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