Applications of fault-tolerant control system in the design of wind turbine generation systems: A comprehensive review and future prospects by Arslan Ahmed Amin, Muhammad Irfan, Turki Alsuwian, Saifur Rahman, Ansa Mubarak, Saba Waseem

“…The review also discusses the relevant research gaps and future works, such as using computational algorithms to develop novel material and implementing the utilization of digital twins to improve fault management.…”
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Improving the accuracy of thermal power determination of VVER by V. I. Borysenko, D. V. Budyk, V. V. Goranchuk

“…In most algorithms for forming control signals, locks and protection of VVER, the value of the reactor’s thermal power (RTP) is used. …”
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Artificial Intelligence: The Strategy of Financial Risk Management by A. Kumar, A Kumar, S. Kumari, S. Kumar, N. Kumari, A. K. Behura

“…Methodological analysis of relevant scientific literature showed that AI, in particular machine learning, can help in managing financial risks. …”
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Predictive Study on the Cutting Energy Efficiency of Dredgers Based on Specific Cutting Energy by Junlang Yuan, Ke Yang, Taiwei Yang, Haoran Xu, Ting Xiong, Shidong Fan

“…Subsequently, five machine learning algorithms, such as RF and XGBoost, are used in combination with a grid search to find the optimal hyperparameters, and Lasso is used as the meta-learner to integrate the prediction results. …”
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The synergy of neuromarketing and artificial intelligence: A comprehensive literature review in the last decade by Ahmed H. Alsharif, Junhai Wang, Salmi Mohd Isa, Nor Zafir Md Salleh, Husam Azzawi Dawas, Mohammed H. Alsharif

“…This study followed the systematic literature review methodology to select and extract the relevant documents from the Scopus database (2013–2023). …”
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How Non-CS preservice teachers conceptualize and engage with computational thinking through 3D game design: Insights from an XR-enhanced maker experience by Tugce Aldemir, Jewoong Moon, Ali Bicer, Gyuri Byun, Carlos Manrique Perez, Vivek Sabanwar

“…Findings suggest that design tasks encouraged shifts from surface-level CT definitions to more applied reasoning, particularly in decomposition and algorithmic thinking during storyboard development. …”
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RODA-OOD: Robust Domain Adaptation from Out-of-Distribution Data by Jaekyun Jeong, Mangyu Lee, Sunguk Yun, Keejun Han, Jungeun Kim

“…By dynamically adjusting the threshold for OOD detection, the proposed method effectively filters out OOD data, allowing the model to focus on relevant target data. RODA-OOD was compared with competitor and original domain adaptation algorithms based on target data accuracy. …”
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Explainable AI Methods for Underwater Mine Warfare by Guy Junior Richard, Jerome Habonneau, Didier Gueriot, Jean-Marc Le Caillec

“…Artificial intelligence (AI) has brought new algorithms providing high performance compared to the usual methods. …”
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Soil moisture estimation using multi linear regression with terraSAR-X data by G. García, M. Brogioni, V. Venturini, L. Rodriguez, G. Fontanelli, E. Walker, S. Graciani, G. Macelloni

“…Besides ground measurements, remote sensing has proven to be an excellent tool for the monitoring of spatial and temporal distributed data of the most relevant Earth surface parameters including soil’s parameters. …”
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Transcriptomic Analysis of the Spleen from Asian Seabass (<i>Lates calcarifer</i>) Infected with Infectious Spleen and Kidney Necrosis Virus by Hong-Yi Xin, Lim Xin Ying, Lee Ching Pei Carmen, Mookkan Prabakaran

“…To further investigate these interactions, we analyzed relevant pathways in the Reactome database for Asian seabass, humans, and zebrafish, constructed a protein–protein interaction (PPI) network using STRING database, and identified hub genes using six different algorithms. …”
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Comprehensive Review of Robotized Freight Packing by German Pantoja-Benavides, Daniel Giraldo, Ana Montes, Andrea García, Carlos Rodríguez, César Marín, David Álvarez-Martínez

“…<i>Methods</i>: To bridge this gap, we conducted a comprehensive review of 46 relevant studies, analyzing various dimensions, including the components of robotic packing cells, the types of packing problems, the solution approaches, and performance comparisons. …”
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Urine flow cytometry in older adults urinary tract infection diagnosis: is it time to reevaluate thresholds for men and women? by Adrien Biguenet, Elisa Champy, Marine Gilis, Houssein Gbaguidi-Haore, Isabelle Patry, Kévin Bouiller, Xavier Bertrand

“…Gender-specific diagnostic algorithms were suggested. Conclusions Urine flow cytometry provides valuable diagnostic thresholds for bacteriuria and leukocyturia and helps to exclude UTI before culture results. …”
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Biological and Biosimilar Medicines in Contemporary Pharmacotherapy for Metabolic Syndrome by Wiktoria Górecka, Daria Berezovska, Monika Mrozińska, Grażyna Nowicka, Monika E. Czerwińska

“…Although treatment algorithms are generally well established and primarily based on synthetic pharmaceuticals, they are increasingly being supplemented by biological and biosimilar agents. …”
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One scan, multiple insights: A review of AI-Driven biomarker imaging and composite measure detection in lung cancer screening by Saher Verma, Leander Maerkisch, Alberto Paderno, Leonard Gilberg, Bianca Teodorescu, Mathias Meyer

“…Traditional low dose computed tomography (LDCT) focuses primarily on identifying lung malignancies, often missing the opportunity to detect other clinically relevant biomarkers. This review explores the expanding role of AI in radiology, where AI-driven algorithms can simultaneously detect multiple biomarkers and composite health measures, facilitating the opportunistic identification of conditions beyond lung cancer. …”
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Design for Testability of Integrated Circuits and Project Protection Difficulties by E. Ph. Pevtsov, T. A. Demenkova, A. A. Shnyakin

“…As a rule, the developer does not have its own production facilities, using the services provided by foreign factories (fablesscompanies). Due to this fact, relevant are the studies aimed at the development of a complex of measures, excluding the possibility of unauthorized changes into IC, i.e. protection of projects against intentional hardware and technology violations made during the formation of the control information for handing it over to the production facility and/or in case of IC manufacture at the factory. …”
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Deep convolutional neural network (DCNN)-based model for pneumonia detection using chest x-ray images by S. I. Ele, U. R. Alo, H. F. Nweke, A. H. Okemiri, E. O. Uche-Nwachi

“…Data Preprocessing was conducted to enhance image quality and extract relevant features, followed by implementing a deep convolutional neural networks (DCNNs) model using TensorFlow’s Keras. …”
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Leveraging Artificial Intelligence for Smart Healthcare Management: Predicting and Reducing Patient Waiting Times with Machine Learning by Kristijan CINCAR, Todor IVAŞCU

“…The proposed system is built on a multitude of machine-learning algorithms such as Random Forest Regression, XGBoost, Support Vector Regression (SVR), and Artificial Neural Networks (ANNs) to render accurate estimations of patient waiting times. …”
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Research on Maneuvering Motion Prediction for Intelligent Ships Based on LSTM-Multi-Head Attention Model by Dongyu Liu, Xiaopeng Gao, Cong Huo, Wentao Su

“…The results demonstrate that our proposed model significantly improves the accuracy of ship maneuvering predictions compared to standalone LSTM and MHAM algorithms and exhibits superior generalization performance.…”
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Predicting clozapine-induced adverse drug reaction biomarkers using machine learning by John-Paul Cooper, Pierre Chue, Arno G. Siraki, Lusine Tonoyan

“…This is clinically important and relevant to the management of schizophrenia, which remains a chronic disease with high morbidity and mortality.…”
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MEIS-YOLO: Improving YOLOv11 for efficient aerial object detection with lightweight design by Yicheng Liu, Jinsong Wu, Li Chen

“…Nevertheless, conventional object detection algorithms continue to encounter performance limitations, particularly when handling complex backgrounds and small objects. …”
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