Use of responsible artificial intelligence to predict health insurance claims in the USA using machine learning algorithms by Ashrafe Alam, Victor R. Prybutok

“…The algorithms examined include support vector machine (SVM), decision tree (DT), random forest (RF), linear regression (LR), extreme gradient boosting (XGBoost), and k-nearest neighbors (KNN). …”
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The Formation of the Crimean Tatar Li­terary Language Based on the Urban Koine of Bakhchisaray in the seventeenth and eigh­teenth century by Rustemov O.D, Stepanov E.N.

“…They provide the best way to trace the processes of the formation of norms in the general Crimean supra-dialect koine, which based on the capital’s koine. …”
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Classifying Dementia Severity Using MRI Radiomics Analysis of the Hippocampus and Machine Learning by Dong-Her Shih, Yi-Huei Wu, Ting-Wei Wu, Yi-Kai Wang, Ming-Hung Shih

“…Machine learning and deep learning methods are then used for classification with cross-validation, achieving the highest accuracy with support vector machine (SVM). Compared with other studies, our results show the highest accuracy among the three dementia severity classifications. …”
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Artificial intelligence-enhanced solubility predictions of greenhouse gases in ionic liquids: A review by Bilal Kazmi, Syed Ali Ammar Taqvi, Dagmar Juchelkov, Guoxuan Li, Salman Raza Naqvi

“…It examines artificial neural networks, deep learning models, and support vector machines for predicting solubility in ILs, and presents valuable results demonstrating the potential of these techniques. …”
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Une analyse de la démultiplication des éthos dit et montré dans le discours du Bourget de François Hollande raconté par Laurent Binet by Alain RABATEL

“…. – in which the ethos of the enunciators is examined, and not the ethos of the author of the utterance, if the direct speech is in principle the main vector of the ethos, its representation within the narrative affects considerably its co-construction. …”
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Sociolinguistic projects of the "Language Unit of the Year" type: categorization and dynamics of development by T. A. Dolgaya

“…A meaningful change in the interest vector of the public, media actors and researchers towards other semiotic units, like gestures, hieroglyphs, numbers, emoji, and memes, has been revealed.…”
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Improvement of signal detection based on using machine learning by Bassam Abd

“…The proposed system depends on the support vector machine (SVM). The SVM is one of the most popular learning algorithms in different fields, such as signal processing, image processing, communication, and pattern recognition. …”
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The miR-6240 target gene Igf2bp3 promotes myoblast fusion by enhancing myomaker mRNA stability by Yuxin Huang, Wei Wang, Xinhao Fan, Xiaoqin Liu, Weiwei Liu, Zishuai Wang, Yixing Li, Yalan Yang, Zhonglin Tang

“…The Igf2bp3 overexpression vector was designed using the pcDNA3.1(+) vector. …”
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End-to-End Stroke Imaging Analysis Using Effective Connectivity and Interpretable Artificial Intelligence by Wojciech Ciezobka, Joan Falco-Roget, Cemal Koba, Alessandro Crimi

“…Indeed, the classification led to an area under the curve of 0.69 by using graph convolutional networks, 0.72 by using local topological profiling random forest, and 0.71 by using support vector machine with the given heterogeneous dataset. …”
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Estudio comparativo de clasificadores empleados en el diagnóstico de fallos de sistemas industriales // A comparative study of clasification methods used in the fault diagnosis of... by José Bernal-de Lázaro, Alberto Prieto-Moreno, Orestes Llanes-Santiago, Emilio García-Moreno

“…<br />Key words: industrial process, fault diagnosis, industrial maintenance, support vector machines, artificial<br />neural networks, partial least-squares, k-nearest neighbor method.…”
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Approximate Synthesis of Н_∞ – Controllers in Nonlinear Dynamic Systems over a Semi-Infinite Time Period by A. V. Panteleev, A. A. Yakovleva

“…This approach made it possible to use the solution of the Riccati equation, whose coefficients depended on the state vector, for the synthesis of controllers. To solve model examples and applied problems, a software package was developed using the MATLAB mathematical package.Results. …”
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Geoinformatics and Machine Learning for Shoreline Change Monitoring: A 35-Year Analysis of Coastal Erosion in the Upper Gulf of Thailand by Chakrit Chawalit, Wuttichai Boonpook, Asamaporn Sitthi, Kritanai Torsri, Daroonwan Kamthonkiat, Yumin Tan, Apised Suwansaard, Attawut Nardkulpat

“…Coastal erosion is a critical environmental challenge in the Upper Gulf of Thailand, driven by both natural processes and human activities. This study analyzes 35 years (1988–2023) of shoreline changes using geoinformatics, machine learning algorithms (Random Forest, Support Vector Machine, Maximum Likelihood, Minimum Distance), and the Digital Shoreline Analysis System (DSAS). …”
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Strategizing the National Economy during a Period of Burgeoning Technological Sovereignty by V. L. Kvint, I. V. Novikova, M. K. Alimuradov, N. I. Sasaev

“…This causes the activation of processes to form the national economy technological sovereignty and emphasizes its strategic importance.   …”
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Reconstruction of LDPC code check matrix based on random extraction at high bit error rate by Zhongyong WANG, Zhenghao LI, Kexian GONG, Peng SUN, Qingtao LI

“…In order to improve the performance of the sparse check matrix reconstruction algorithm of LDPC codes at high BER, an open set recognition algorithm of the check matrix with strong fault tolerance under the condition of sufficient and insufficient number of received code words was proposed.Firstly, a new code word space was constructed by randomly extracting part bits of the code words for many times.Gaussian elimination method was used to solve the dual vector and restore the check vector in a lower dimension.Secondly, using the check vector, the proportion of error-free code groups in the received data was continuously increased by using the methods of “eliminating error code words” or“flipping the lowest unreliable bits” for iterative processing.Simulation results show that the proposed algorithm is superior to comparison algorithm under different bit error rates, different code lengths, different code rates and different number of code words.For (648,324) LDPC codes in IEEE 802.11n protocol, when the number of received code words is sufficient, the reconstruction rate of check matrix can reach more than 95% under the condition of bit error rate of 0.003.When the number of received code words is insufficient (the number of code words is 450), the reconstruction rate of check matrix can reach more than 90% under the condition of bit error rate of 0.0015.…”
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Through-Wall Detection with LS-SVM under Unknown Wall Characteristics by Fangfang Wang, Yerong Zhang, Huamei Zhang

“…Then, TWI problem is cast as a regression one and solved by means of least-squares support vector machine (LS-SVM). The complex scattering process due to the presence of the walls is automatically included in the nonlinear relationship between the feature vector extracted from the target scattered fields and the position of the target. …”
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Virulent Properties of Russian Bovine Viral Diarrhea Virus Strains in Experimentally Infected Calves by Alexander G. Glotov, Tatyana I. Glotova, Svetlana V. Koteneva, Olga V. Semenova, Alexander A. Sergeev, Ksenya A. Titova, Anastasia A. Morozova, Artemiy A. Sergeev

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REGISTRATION OF SURFACE ACOUSTIC WAVES in Z-SECTIONS of PIEZOELECTRIC SINGLE CRYSTALS ZnO and CdS by I. V. Linchevsky, M. V. Chursanova

“…The subjects of this research are the internal electric field and the electric polarization vector, both existing in the volume of a deformed piezoelectric crystal. …”
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Improving long‐tail classification via decoupling and regularisation by Shuzheng Gao, Chaozheng Wang, Cuiyun Gao, Wenjian Luo, Peiyi Han, Qing Liao, Guandong Xu

“…To tackle these challenges, the authors first thoroughly analyse the classifier and feature space by decoupling the classification logits into three key components: classifier norm (i.e. the magnitude of the classifier vector), feature norm (i.e. the magnitude of the feature vector), and cosine similarity between the classifier vector and feature vector. …”
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Pressure Measurement System for Calibration of Multi-hole Probes by Fabio Dario Marano, Pablo Aguilar, Nicolas Coppolecchia, Pablo Caron

“…This work describes the design, construction and calibration process of a pressure acquisition system to measure the velocity vector in a subsonic wind tunnel.…”
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Minimization of unevenness of the loading of the selfcompensating high voltage power lines by Suslov V.M, Postolati V.M.

“…For minimization of unevenness of the loading the chains operated selfcompensating high-voltage power lines (OSHPL) in process of management of its reception capacity by means of synchronous change the angular shift of the phases of the voltage vector systems of the chains on its both sides is offered hereto process to add the additional regulation on sending end of the line. …”
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