Enhancing cardiac disease detection via a fusion of machine learning and medical imaging by Tao Yu, KeYue Chen

“…During the preprocessing phase, essential visual elements are collected from medical pictures utilizing image processing methods and convolutional neural networks (CNNs). …”
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Crisis and disasters: a psychological response to grieving by Maria Helena Pereira Franco

“…The concept of presumed world is explored in the significance of the bereavement process after a disaster as a vector for the changes thus provoked. …”
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Edge vs. Cloud: Empirical Insights into Data-Driven Condition Monitoring by Chikumbutso Christopher Walani, Wesley Doorsamy

“…The tested induction machine fault diagnosis models are developed using popular algorithms, namely support vector machines, k-nearest neighbours, and decision trees. …”
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Positioning Errors Predicting Method of Strapdown Inertial Navigation Systems Based on PSO-SVM by Xunyuan Yin, Yingbo Sun, Changhong Wang

“…In order to evaluate the navigation errors precisely and efficiently, a prediction method based on support vector machine (SVM) is proposed for positioning error assessment. …”
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Low-Code Application and Practical Implications of Common Machine Learning Models for Predicting Punching Shear Strength of Concrete Reinforced Slabs by Khuong Le Nguyen, Thanh Tu Do, Giang Huu Nguyen, Afaq Ahmad

“…A user-friendly standalone application was developed, providing real-time predictions of the PSS using the two best-developed ML models, GPR and support vector machine (SVM), as well as six empirical models from the literature. …”
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Multiobjective Location Problems with Variable Domination Structures and an Application to Select a New Hub Airport by Bettina Zargini

“…We investigate two kinds of solutions derived from the concept of minimal and nondominated solutions from vector optimization problems with respect to variable domination structure. …”
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Optimization of IoT-Based Motion Intelligence Monitoring System by Jian Qiao, Zhendong Zhang, Enqing Chen

“…For active pattern recognition, two types of classification algorithms with different complexity are proposed based on Support Vector Machine (SVM) and deep neural networks, respectively, to adapt to scenarios with different computational capabilities. …”
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Sentiment Analysis of Netizens on Constitutional Court Rulings in the 2024 Presidential Election by Wahyudi Ariannor, Sami M A B Alshalwi, Budi Susarianto

“…This research explores sentiment analysis of the Constitutional Court’s decisions, especially in the context of the presidential election, using the Support Vector Machine (SVM), Logistic Regression, and Naive Bayes algorithms. …”
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Exploring a cost-effective way for nutrient management with machine learning for container plants by Ping Yu, Kuan Qin

“…By training the data using K-Nearest Neighbor (KNN), Support Vector Machine (SVM), and Naïve Bayes algorithms, this system could reach up to 0.7–1.0 accuracy in guiding fertilization schedules during the plant vegetative growth stage. …”
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Comparative analysis of regression algorithms for drug response prediction using GDSC dataset by Soojung Ha, Juho Park, Kyuri Jo

“…Results In the experiments, Support Vector Regression algorithm and gene features selected with LINC L1000 dataset showed the best performance in terms of accuracy and execution time. …”
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Funding the future: Nigeria's battle against poverty through government expenditure by Temitope Adebayo

“…However, the error correction mechanism indicates a notably slow adjustment process (-0.000376), suggesting structural impediments to poverty reduction efforts. …”
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Intelligent recognition technology of high speed moving target contour in dynamic visual scene by Min Qiu

“…If the target is accompanied by high acceleration, motion blur will occur during the imaging process, increasing the difficulty of contour extraction and causing deviation in target recognition. …”
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Robust Direct Torque Control with Super-Twisting Sliding Mode Control for an Induction Motor Drive by Saber Krim, Soufien Gdaim, Mohamed Faouzi Mimouni

“…A field-programmable gate array- (FPGA-) based nonlinear Direct Torque Control (DTC) associated with Space Vector Modulation (SVM), Input-Output Feedback Linearization (IOFL), and second-order super-twisting speed controller is proposed to control an induction motor drive. …”
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Data-Driven Customer Retention Strategies in E-Commerce: A Fuzzy Z-Number Approach by Siyin Hu, An Chen

“…For the purpose of evaluating customer churn, we use the Support Vector Machine (SVM) model. In order to improve the performance of the SVM, we tune its parameters using the Coyote Optimization Algorithm (COA). …”
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Design and Analysis of an Expert System for the Detection and Recognition of Criminal Faces by Rishi Gupta, Amit Kumar Gupta, Deepak Panwar, Ashish Jain, Partha Chakraborty

“…The process of identifying a person using their facial traits is referred to as face recognition, and it is a form of biometric identification. …”
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A novel pedestrian detection algorithm based on data fusion of face images by Jianhu Zheng, Jinshuan Peng

“…During the face recognition process, feature classification ability and reliability are determined by the feature extraction methods. …”
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Russia and China: Strategy and Tactics of ESG-Interaction by Yu. V. Mankevich

“…The relevance of the topic is due to the strengthening of the Asian vector of Russian interaction. In the context of increasing cross-country interaction, when building ESG policy, it is important to determine the strategy and tactics of ESG-interaction, points of contact and factors for further growth, which will be the purpose of this work. …”
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Deep learning-based sex estimation of 3D hyoid bone models in a Croatian population using adapted PointNet++ network by Ivan Jerković, Željana Bašić, Ivana Kružić

“…Subsequently, supervised classification with a support vector machine yielded an accuracy of 88.71% (Matthews Correlation Coefficient, MCC = 0.7746) on a test set (n = 62). …”
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“Our father, the great and stern Genghis Khan”: The “Mongolian legacy” in the Eurasian concept by Bystryukov V.Yu.

“…Anti-Westernism became the ideological vector of the new movement; the catastrophe of 1917 was directly associated with the dominance of European culture in the Russian Empire. …”
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A New Hybrid Model for Underwater Acoustic Signal Prediction by Guohui Li, Wanni Chang, Hong Yang

“…The prediction of underwater acoustic signal is the basis of underwater acoustic signal processing, which can be applied to underwater target signal noise reduction, detection, and feature extraction. …”
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