Enhanced prediction of ventilator-associated pneumonia in patients with traumatic brain injury using advanced machine learning techniques by Negin Ashrafi, Armin Abdollahi, Kamiar Alaei, Maryam Pishgar

“…To address class imbalance, the Synthetic Minority Oversampling Technique (SMOTE) was applied within a five-fold cross-validation framework, ensuring a balanced training set while maintaining an unbiased validation process. Six machine learning models, including Support Vector Machine, Logistic Regression, Random Forest, XGBoost, Artificial Neural Network, and AdaBoost, were trained using extensive hyperparameter tuning. …”
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A clinical case of thrombocytopenic purpura in a 13-year-old child by A. Yu. Babko, O. B. Gordeeva, A. V. Dobrotok

“…Immune thrombocytopenic purpura is an immune-mediated disease that develops as a result of impaired immune tolerance to platelet antigens and the formation of antibodies to them, followed by a decrease in platelet levels per unit volume of blood, which can lead to the development of hemorrhagic syndrome. The pathological process in immune thrombocytopenic purpura is based on the breakdown of immunological tolerance to its own antigen. …”
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Production and optimization of affordable artificial geopolymer aggregates containing crumb rubber, plastic waste, and granulated cork based on machine learning algorithms by Mohamed Abdellatief, Abedulgader Baktheer, Mohamed Shahin, Aref A. Abadel, Ashraf M. Heniegal

“…The properties of AGAs were evaluated, and the optimal utilization of waste materials was determined using response surface methodology (RSM) and machine learning models, including linear regression (LR), support vector regression (SVR), and Gaussian process regression (GPR). …”
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Research on Tongue Image Segmentation and Classification Methods Based on Deep Learning and Machine Learning by Bin Liu, Zeya Wang, Kang Yu, Yunfeng Wang, Haiying Zhang, Tingting Song, Hao Yang

“…This approach not only achieves an intersection over union (IoU) score above 0.95 across three tongue image datasets but also significantly reduces the labor-intensive annotation process required for training traditional segmentation models while improving the generalization capability of the segmentation model. …”
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The Effectiveness of Laboratory Methods for the Early Differential Diagnosis of Ophthalmohlamidiosis and Conjunctival Lymphoma (Clinical Cases) by G. I. Krichevskaya, E. S. Vakhova, S. V. Saakyan, E. B. Myakoshina, A. E. Andryushin, A. M. Maybogin, O. V. Proskurina, A. V. Trukhina

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TMS: Ensemble Deep Learning Model for Accurate Classification of Monkeypox Lesions Based on Transformer Models with SVM by Elsaid Md. Abdelrahim, Hasan Hashim, El-Sayed Atlam, Radwa Ahmed Osman, Ibrahim Gad

“…Methods: This paper presents an ensemble model for classifying the monkeypox dataset, which includes transformer models and support vector machine (SVM). The model development process begins with an evaluation of seven convolutional neural network (CNN) architectures. …”
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MODERN FOREIGN CONSTITUTIONALISM: MAX PLANCK INSTITUTE FOR COMPARATIVE PUBLIC LAW AND INTERNATIONAL LAW by Mykhaylo O. Baymuratov, Natalia V. Bocharova

“…The European vector of modern Ukrainian politics involves a broad and thorough acquaintance with the latest achievements of European and world legal thought. …”
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Analysis of the Results of a Questionnaire Survey of Doctors and Clinical Psychologists on Somatovegetative Symptoms of Stress by Anna A. Kuzyukova, Natalia A. Levchenko, Larisa A. Marchenkova

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Random Noise Suppression Method for Inertial Sensors Based on Complexing an AR Model and Adaptive SRUKF Kalman Filter under the PINS Alignment on a Stationary Platform by Trong Yen Nguyen, Quoc Khanh Nguyen, Van Khoi Nguyen

“…In the gyrocompassing mode, the initial heading angle of a platformless inertial navigation system (PINS) is determined based on the data obtained from accelerometers and gyroscopes that measure the projections of the gravitational acceleration vector and the Earth’s angular velocity vector on the axes of the body coordinates system in the PINS initial stationary mode. …”
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A novel satisfactory model predictive control based on current variance for high power three‐level‐NPC rectifiers by Bo Yang, Zhikang Guo, Zongbin Ye, Jiayi Kong, Guojun Tan

“…Furthermore, the control objectives are categorized into three levels and sequentially combined, eliminating the laborious process of adjusting the weighting factors. Finally, the experimental results conclusively demonstrate the exceptional control performance of CV‐SMPC in both steady‐state and dynamic processes.…”
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Discrimination of pressed sesame oil: A comparison study of non-targeted UV spectral fingerprints combined with different chemometric methods by Dongmin Wang, Yuxin Liu, Jiahui Qian, Yake Li, Lixia Hou, Huamin Liu

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Public administration in the field of countering child terrorism: A risk-based approach by Alla K. Polyanina

“…The leap in the development of information technology has led to an unprecedented increase in the opportunities for children to be involved in criminal communities and terrorist activities. The process of recruiting minors to carry out terrorist acts appears to be a sequence of actualization of certain risk factors. …”
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Comparison of Various Feature Extractors and Classifiers in Wood Defect Detection by Kenan Kiliç, Kazım Kiliç, İbrahim Alper Doğru, Uğur Özcan

“…Detection of defects on wood during quality processes in the wood industry is extremely important both economically and in terms of production and use. …”
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The influence of cosmism on the development of social hope by Oleh Masiuk

“…The following obstacles to the development of hope such as the fate, fear and hope of man, which arise during rethinking the impact of cosmos on social processes, are described in the article. These obstacles are the means of determination the vectors of social perspectives. …”
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Framework Heurístico para la Implementación de Sistemas Activos de Reconocimiento de Objetos by E. González, A. Adán, V. Feliú

“…Each cluster is represented by a D-Sphere which allows, in an off-line process, to evaluate the uncertainty between objects hypothesis. …”
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Spin-orbital conversion of the light field immediately behind an ideal spherical lens by V.V. Kotlyar, A.A. Kovalev, S.S. Stafeev, E.S. Kozlova, M.A. Telegin

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Artificial Intelligence as Assessment Tool in Occupational Therapy: A Scoping Review by Christos Kokkotis, Ioannis Kansizoglou, Theodoros Stampoulis, Erasmia Giannakou, Panagiotis Siaperas, Stavros Kallidis, Maria Koutra, Christina Koutra, Anastasia Beneka, Evangelos Bebetsos

“…Out of an initial pool of 85 articles, 13 met the inclusion criteria, highlighting diverse AI methodologies such as support vector machines, deep neural networks, and natural language processing. …”
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Muscle‐directed gene therapy corrects Pompe disease and uncovers species‐specific GAA immunogenicity by Michelle Eggers, Charles H Vannoy, Jianyong Huang, Pravinkumar Purushothaman, Jacqueline Brassard, Carlos Fonck, Hui Meng, Mariah J Prom, Michael W Lawlor, Justine Cunningham, Chanchal Sadhu, Fulvio Mavilio

“…AT845 is an adeno‐associated viral vector designed to express human GAA specifically in skeletal muscle and heart. …”
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Architecture of an automated program complex based on a multiple kernel svm classifier for analyzing malicious executable files by Алан Нафієв, Андрій Родіонов

“…This article presents the development and architecture of an automated program complex designed to identify and analyze malicious executable files using a classifier based on a multiple kernel support vector machine (SVM). Goal. The aim of the work is to create an automated system that enhances the accuracy and efficiency of malware detection by combining static and dynamic analysis into a single framework capable of processing large volumes of data with optimal time expenditure. …”
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Satellite imagery, big data, IoT and deep learning techniques for wheat yield prediction in Morocco by Abdelouafi Boukhris, Antari Jilali, Abderrahmane Sadiq

“…Several machine learning and deep learning algorithms have been used for the processing of crop recommendation system, such as logistic regression, KNN, decision tree, support vector machine, LSTM, and Bi-LSTM through the collected dataset. …”
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