Quenching of the weak axial coupling derived from the scattering of stopped-pion neutrinos on 127I by M. Hellgren, J. Suhonen

“…The need for quenching of the weak axial-vector coupling in calculations involving weak processes in nuclei is a well-known and long-standing problem arising from several contributing factors. …”
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Machine Learning Approach to Model Soil Resistivity Using Field Instrumentation Data by Md Jobair Bin Alam, Ashish Gunda, Asif Ahmed

“…Sub-surface soil hydrological characterization is one of the challenging tasks for engineers and soil scientists, especially the complex hydrological processes that combine key variables such as soil moisture, matric suction, and soil temperature. …”
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Modified t-Distribution Stochastic Neighbor Embedding Using Augmented Kernel Mahalanobis-Distance for Dynamic Multimode Chemical Process Monitoring by Haoyu Gu, Li Wang

“…The traditional data-driven process monitoring methods may not be applicable for the system which has dynamic and multimode characteristics. …”
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THE COMPLEX TERRITORIAL, SOCIAL AND ECONOMIC SYSTEM EURASEC: EVOLUTIONARY DEVELOPMENT by L. M. Borch, Y. N. Vorobyov, D. D. Burkaltseva, S. V. Gerasimova

“…It is noted that creation of the Eurasian Economic Community (EurAsEC) lays foundations for evolutionary international development which makes it possible to use constructivism in existing financial markets, define a vector of development, change models and control mechanisms with the purpose to increase the impact on macroeconomic processes in the EurAsEC member states. …”
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An SVDD-based post-processing approach for vibration risk assessment of the hydro-turbine-generator in a large hydropower station by Jinliang Zhang, Fengwei Yang, Chao Liang, Yuansheng Zhang, Yongchang Li

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Applying Two-Stage Neural Network Based Classifiers to the Identification of Mixture Control Chart Patterns for an SPC-EPC Process by Yuehjen E. Shao, Po-Yu Chang, Chi-Jie Lu

“…The effective controlling and monitoring of an industrial process through the integration of statistical process control (SPC) and engineering process control (EPC) has been widely addressed in recent years. …”
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Statistical modeling and application of machine learning for antibiotic degradation using UV/persulfate-peroxide based advanced oxidation process by Musfekur Rahman Dihan, Md. Ashraful Alam, Surya Akter, Md. Abdul Gafur, Md. Shahinoor Islam

“…For designing an efficient homogeneous advanced oxidation process (AOP) based wastewater treatment, understanding the performance of multiple oxidants in multiple contaminant matrices is imperative, with appropriate modeling and prediction of the desired performance. …”
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Models and methods for analyzing complex networks and social network structures by Ju. P. Perova, V. P. Grigoriev, D. O. Zhukov

“…However, the use of support vector and decision tree methods should also be mentioned, since these contributed considerably to accuracy. …”
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Perspectives of Co-Operation between the Baltic Countries and the Eurasian Economic Union Member States in the Context of Eurasian Integration Process by Yana Glittova, Andrey V. Toropygin

“…It is shown that the strategic vector of the Baltic states, as well as the EU, the EAEU and the Belt and Road initiative, is economic. …”
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First Identification of Emerging Pathogenic Yeast in <i>Clogmia albipunctata</i> (Diptera: Psychodidae) at a Brazilian Hospital by Kéren Vieira-Alcântara, Thiago Pavoni Gomes Chagas, Gisela Lara da Costa, Tatiane Nobre Pinto, Manoel Marques Evangelista Oliveira, Viviane Zahner

“…Twenty-six drain flies were collected from a tertiary hospital using sterile tubes and processed within two hours. The insects were identified as <i>Clogmia albipunctata</i> (Williston, 1893). …”
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Real-Time Detection and Localization of Force on a Capacitive Elastomeric Sensor Array Using Image Processing and Machine Learning by Peter Werner Egger, Gidugu Lakshmi Srinivas, Mathias Brandstötter

“…Machine learning models such as linear regression, Support Vector Machine, decision tree, and Gaussian Process Regression were evaluated to correlate force with capacitance values. …”
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Process‐Based Atmosphere‐Hydrology‐Malaria Modeling: Performance for Spatio‐Temporal Malaria Transmission Dynamics in Sub‐Saharan Africa by Mame Diarra Bousso Dieng, Adrian M. Tompkins, Joël Arnault, Ali Sié, Benjamin Fersch, Patrick Laux, Maximilian Schwarz, Pascal Zabré, Stephen Munga, Sammy Khagayi, Ibrahima Diouf, Harald Kunstmann

“…In support of malaria vector control efforts, we present a high‐resolution, coupled physically‐based modeling approach integrating WRF‐Hydro and VECTRI. …”
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A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method by Ankit Kumar, Kamred Udham Singh, Manish Kumar

“…We used a dataset with 13 primary characteristics to carry out the research. Support vector machine and logistic regression algorithms are used to process the datasets, and the latter displays the highest accuracy in predicting coronary disease. …”
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Detection of Q235 Mild Steel Resistance Spot Welding Defects Based on EMD-SVM by Yuxin Wu, Xiangdong Gao, Dongfang Zhang, Perry Gao

“…Welding current and voltage were collected in real-time, and DR signals were processed employing a second-order Butterworth low-pass filter featuring zero-phase processing to enhance accuracy. …”
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Shaping the appearance of a long-range aircraft at the stage of developing a technical proposal by A. A. Gorbunov, A. D. Pripadchev

“…The developed method allows determining the vector of parameters that provides rational characteristics for a given efficiency criterion. …”
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rhBNN+ Comprehensive Detections and Analyses of the Human Body Temperatures and Sounds by the Same Smart Mask by Bingcan Liao, Pin Sun, Shuyi Chen, Rihong Huang, Junyu Yang, Guofeng Li, Chengzhi Lv, Nan Zhu, Shui Guan, Hailong Liu, Rong Liu, Ali Mansouri, Changkai Sun

“…Collected data is instantly transmitted to the processing unit. Temperature readings are labeled and stored for analysis, while audio data is classified into breathing, coughing, and speaking categories using the Support Vector Machine (SVM) algorithm. …”
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Hybrid IoT-CAD system: optimized feature selection based gated recurrent residual deep learning for cyber attack detection in IoT networks by Susheela Vishnoi, Sunil Kumar, Saikat Samanta

“…The proposed IoT system includes four steps: pre-processing, augmentation, feature selection, and classification. …”
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Enhanced Kidney Stone Detection and Classification Using SVM and LBP Features by Hawkar K. Hama, Hamsa D. Majeed, Goran Saman Nariman

“…The Local Binary Pattern (LBP) technique, combined with the support vector machine (SVM) algorithm serves as the primary components of the proposed model. …”
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Safety Supervision Method for Power Operation Site Based on Machine Learning and Image Recognition by Zhengwei CHANG, Qian PENG, Ying CHEN

“…It is proposed to use the histogram of oriented gradient (HOG) and support vector machine (SVM) for full frame personnel detection, and then the OpenCV-based image processing technology is used to determine any personnel intrusion into the alert area. …”
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Forecasting inflation based on the consumer price index, taking into account the impact of seasonal factors by A. K. Sapova

“…Two classes of models (vector autoregression and time series models) are considered. …”
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