Eurasian Policy of Russia and China: Legal and Political Aspects in the Framework of Bilateral Interaction and Multilateral Formats by A. A. Kashirkina, A. N. Morozov, V. V. Sevalnev

“…The article is devoted to the study of the Eurasian vector in the international politics of Russia, including the Russian-Chinese relations at the present stage, participation in the Eurasian Economic Union, other interstate associations created by the states of the Asia-Pacific region. …”
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Prediction of Hydrogen Production from Solid Oxide Electrolytic Cells Based on ANN and SVM Machine Learning Methods by Ke Chen, Youran Li, Jie Chen, Minyang Li, Qing Song, Yushui Huang, Xiaolong Wu, Yuanwu Xu, Xi Li

“…We developed two models using artificial neural networks (ANNs) and support vector machine (SVM) to predict hydrogen production. …”
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Theoretical Proposals for Improving the Noise Immunity of Receiving Multi-Position Signals in Channels with Variable Parameters by S. V. Dvornikov, A. V. Pshenichnikov, A. F. Kryachko, M. R. Bibarsov, G. S. Bibarsova

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Realization of Three-level SVPWM Algorithm Based on FPGA by LIN Xin, KOU Shuren, YANG Fan

“…According to the performance of AC-driving digital control system greatly depends on the process speed of controller, field programmable gate array(FPGA) was introduced to reduce the control period. …”
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De mains méridionales en mains septentrionales by Isabelle Sidéra

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Data augmentation for dense passage retrieval using corpus-passage frequency-based token deletion by A-Seong Moon, Kyumin Kim, Jaesung Lee

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Comparative Analysis of Machine Learning Algorithms With Advanced Feature Extraction for ECG Signal Classification by Tanuja Subba, Tejbanta Chingtham

“…However, its availability has been restricted, especially in contexts with limited resources, due to the cost associated with conventional ECG signal processing equipment. The importance of ECG signal processing classification for improving early diagnoses in clinical and remote monitoring contexts is highlighted here. …”
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Concept of natural genome reconstruction. Part 3. Analysis of changes in the amount of telomeric DNA in colony cells as a new amplified feature that arose during the processing of... by V. S. Ruzanova, S. G. Oshikhmina, G. S. Ritter, E. V. Dolgova, S. S. Kirikovich, E. V. Levites, Y. R. Efremov, T. V. Karamysheva, A. G. Bogomolov, M. I. Meschaninova, A. L. Mamaev, O. S. Taranov, S. V. Sidorov, S. D. Nikonov, O. Y. Leplina, A. A. Ostanin, E. R. Chernykh, N. A. Kolchanov, A. S. Proskurina, S. S. Bogachev

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Maize Kernel Broken Rate Prediction Using Machine Vision and Machine Learning Algorithms by Chenlong Fan, Wenjing Wang, Tao Cui, Ying Liu, Mengmeng Qiao

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Artificial intelligence for severity triage based on conversations in an emergency department in Korea by Jae Won Seo, Sung-Joon Park, Young Jae Kim, Jung-Youn Kim, Kwang Gi Kim, Young-Hoon Yoon

“…This study aimed to enhance the quality of emergency services by automatically categorizing the severity levels of incoming patients using AI-powered natural language processing (NLP) algorithms to analyze conversations between medical staff and patients. …”
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Kernel to computation: identifying optimal feature set for red rice classification by Suma D, Narendra V G, Darshan Holla M, Shreyas, Raviraja Holla M

“…The integration of size, shape, and texture features yielded the highest average accuracy across the models, with K-Nearest Neighbours achieving 98.67 % accuracy and Support Vector Machine reaching 97.34 % accuracy with the size and shape combination. …”
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A Stochastic Continuous-Time Markov Chain Approach for Modeling the Dynamics of Cholera Transmission: Exploring the Probability of Disease Persistence or Extinction by Leul Mekonnen Anteneh, Mahouton Norbert Hounkonnou, Romain Glèlè Kakaï

“…The multitype branching process is used to compute a stochastic threshold for the CTMC model. …”
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STUDY OF TRANSIENT AND STATIONARY OPERATION MODES OF SYNCHRONOUS SYSTEM CONSISTING IN TWO MACHINES by V. S. Safaryan

“…When there are two excitation windings on the rotor (dual system of excitation), the mathematical model of electromagnetic transient processes of a synchronous machine is represented in a complex form, i.e. in coordinate system d, q, the current of rotor being represented by a generalized vector. …”
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A convolutional neural network-based deep learning approach for predicting surface chloride concentration of concrete in marine tidal zones by Mohamed Abdellatief, Mahmoud E. Abd-Elmaboud, Mohamed Mortagi, Ahmed M. Saqr

“…The CNN’s performance was benchmarked against four machine learning (ML) models: stepwise linear regression (SLR), support vector machine (SVM), Gaussian process regression (GPR), and random forest (RF). …”
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Equi‐MOI ratio for rapid baculovirus‐mediated multiprotein co‐expression in insect cells integrating selenomethionine for structural studies by Andrej Bitala, Mário Benko, Marek Nemčovič, Ivana Nemčovičová

“…Proteins often co‐exist as multicomponent assemblies, making their co‐expression essential in recombinant production processes. The baculovirus expression vector system is commonly used to produce recombinant multiprotein complexes mostly for structural and functional studies. …”
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Integrating Bioengineering and Machine Learning: A Multi-Algorithm Approach to Enhance Agricultural Sustainability and Resource Efficiency by Senthil G.A., Prabha R., Asha R.M., Suganthi S.U., Sridevi S.

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Machine learning-based study of hardness in polypropylene/carbon nanotube and low-density polyethylene/carbon nanotube composites by Harshit Sharma, Gaurav Arora, Raj Kumar, Suman Debnath, Suchart Siengchin

“…(Random Forest, Support Vector Regression, K-Nearest Neighbors, Linear Regression, and Neural Network). …”
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SVM directed machine learning classifier for human action recognition network by Dharmanna Lamani, Pramod Kumar, A Bhagyalakshmi, J. Maria Shanthi, Lakshmana Phaneendra Maguluri, Mohammad Arif, C Dhanamjayulu, Sathish Kumar. K, Baseem Khan

“…After that, these features are entered into the Support Vector Machine (SVM) classifier in order to accomplish action recognition. …”
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IDENTIFICATION OF SIGNALS IN Multi-Static CROSS-CORRELATION PASSIVE RadarS by A. A. Dmitrenko, S. Y. Sedushev

“…The algorithm of stochastic signals processing in cross-correlation passive radars is synthesized. …”
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Acoustic Methods in Identifying Symptoms of Emotional States by Zuzanna PIĄTEK, Maciej KŁACZYŃSKI

“…After the parametrization process, data clustering was performed to allows for the grouping of feature vectors for speakers into greater collections which imitate specific emotional states. …”
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