Application of machine learning techniques to predict the compressive strength of steel fiber reinforced concrete by Ala’a R. Al-Shamasneh, Arsalan Mahmoodzadeh, Faten Khalid Karim, Taoufik Saidani, Abdulaziz Alghamdi, Jasim Alnahas, Mohammed Sulaiman

“…Six advanced regression-based algorithms, including support vector regression (SVR), Gaussian process regression (GPR), random forest regression (RFR), extreme gradient boosting regression (XGBR), artificial neural networks (ANN), and K-nearest neighbors (KNN), were benchmarked through rigorous model validation processes including hold-out testing, K-fold cross-validation, sensitivity analysis, and external validation with unseen experimental data. …”
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Analysis of multiple faults in induction motor using machine learning techniques by Puja Pohakar, Ravi Gandhi, Surender Hans, Gulshan Sharma, Pitshou N. Bokoro

“…Traditional diagnostic methods are expert judgment-based and pre-threshold-based and, therefore, less efficient when dealing with vast industrial processes. Based on key operating parameters like voltage, current, and speed, this article describes how machine learning (ML) algorithms like Random Forest (RF), K-Nearest Neighbors (KNN), Gradient Boosting Machine (GBM), Support Vector Machines (SVM), and Extreme Gradient Boosting with Feature Interaction (XGBoost + FIS) are used to detect different motor faults. …”
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Model predictive control for energy efficient AC motor drives: An overview by Muhammad Bilal Shahid, Weidong Jin, Muhammad Abbas Abbasi, Abdul Rashid Bin Husain, Hafiz Mudassir Munir, Mannan Hassan, Aymen Flah, Ahmed Saad Eddine Souissi, Thamer A. H. Alghamdi

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Hybrid machine learning algorithms accurately predict marine ecological communities by Luciana Erika Yaginuma, Luciana Erika Yaginuma, Fabiane Gallucci, Danilo Cândido Vieira, Paula Foltran Gheller, Simone Brito de Jesus, Thais Navajas Corbisier, Gustavo Fonseca

“…In the supervised stage, these associations were modeled as a function of the environmental features by five supervised algorithms (Support Vector Machine, Random Forest, k-Nearest Neighbors, Naive Bayes, and Stochastic Gradient Boosting), using 80% of the samples for training, leaving the remaining for testing. …”
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TAX COMPLIANCE RISK AS AN ELEMENT OF THE TAX RISK MANAGEMENT CONCEPT IN AN ENTERPRISE by Olha Mashchenko, Anastasiia Khodus

“…The main compliance risks cover the processes from state registration of business entities to the final result - payment of taxes and fees to the budgets of all levels, which covers the process of administering taxes of business entities and is an integral part of business activities. …”
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Role of microRNAs in neuroendocrine neoplasms of the stomach by I. N. Peregorodiev, S. V. Vinokurova, V. Yu. Bohyan, V. V. Delektorskaya, O. A. Malikhova, V. A. Gorbunova, B. I. Sakibov, D. S. Elkin, I. S. Stilidi

“…This direction can open a new vector of understanding the pathogenesis, determining the prognosis of the disease, as well as finding new application points for the drug treatment of NETs. …”
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Antitumor proteinkinase inhibitor imatinib may be regarded as a potential correcting agent for COVID-19 associated pulmonary fibrosis by I. N. Mikhaylova, N. M. Treshalina, I. Zh. Shubina, I. V. Manina, M. V. Kiselevsky, A. N. Lukashev

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Ultrastructural changes in the midgut of Ixodes ricinus nymphs across feeding and digestion stages by Veronika Urbanová, Marie Vancová, František Kitzberger, Jiří Týč, Tomáš Bílý, Tereza Kozelková, Petr Kopáček, Daniel Sojka

“…Our findings enhance the understanding of tick gut cell biology, particularly nutrient processing and energy metabolism, providing a foundation for future research on tick physiology and vector competence.…”
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Comparative characteristics of cytokine regulation in patients with gastric diseases associated with <i>Helicobacter pylori</i> infection by O. V. Smirnova, A. A. Sinyakov

“…Patients and persons of the control group underwent a single blood sampling from the cubital vein upon admission to vacutainers with heparin.The levels of IL-2, IL-4, IL-8, TNFα, interferon-γ in the blood serum of patients and healthy individuals were determined using the enzyme immunoassay method using reagent kits manufactured by JSC “VectorBest”. Statistical data processing was carried out using the Statistica for Windows 8.0 application package.All patients with H. pylori-associated diseases (CG, CAG, GC) showed an increase in pro-inflammatory (IL-2, IL-8, IFNγ) with a significant increase in IL-8 in all patients and IFNγ in gastric cancer and antiinflammatory cytokine (IL-4) with a maximum value in gastric cancer. …”
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Exploring the Application of Large Language Models Based AI Agents in Leakage Detection of Natural Gas Valve Chambers by Qian Wei, Hongjun Sun, Yin Xu, Zisheng Pang, Feixiang Gao

“…Leakage problems occur from time to time due to the large number of equipment and complex processes during oil and gas production and transportation. …”
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A temporal fusion method for modeling the rate of penetration during deep geological drilling by Yang ZHOU, Chengda LU, Min WU, Xin CHEN, Ningping YAO, Haitao SONG, Youzhen ZHANG

“…Initially, a basic ROP model was constructed using support vector regression (SVR) to solve the nonlinear problem caused by ROP changes. …”
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Explainable AI for Chronic Kidney Disease Prediction in Medical IoT: Integrating GANs and Few-Shot Learning by Nermeen Gamal Rezk, Samah Alshathri, Amged Sayed, Ezz El-Din Hemdan

“…Machine learning techniques have demonstrated high efficiency in identifying CKD, but their opaque decision-making processes limit their adoption in clinical settings. …”
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Identification of biomarkers for chronic renal fibrosis and their relationship with immune infiltration and cell death by Jiaqi Shi, Xinyue Qin, Haonan Sha, Rong Wang, Hao Shen, Yinhao Chen, Xiaolan Chen

“…Seven genes identified through Protein-Protein Interaction (PPI) network and Support Vector Machine-Recursive Feature Elimination (SVM-RFE) analysis were validated using qRT-PCR in both in vivo and in vitro UUO experiments. …”
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Studying concatenation of the Cas9-cleaved transgenes using barcodes by A. V. Smirnov, A. N. Korablev, I. A. Serova, A. M. Yunusova, A. A. Muravyova, E. S. Valeev, N. R. Battulin

“…In pronuclear microinjection, the Cas9 endonuclease is employed to introduce in vivo DNA double-strand breaks at the genomic target locus or within the donor vector, thereby enhancing transgene integration. The manner by which Cas9 interacts with DNA repair factors during transgene end processing and integration is a topic of considerable interest and debate. …”
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Islam in Front of the Challenges of Modernity: World Politics, State System, Public Opinion by V. V. Orlov

“…The authors examine the role of Muslim states in multi-vector development of regional and global politics, analyze the impact of Islamic structures and concepts on present system of international relations. …”
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River Stage Variability and Extremes in the Itacaiúnas Basin in the Eastern Amazon: Machine Learning-Based Modeling by Luiz Rodolfo Reis Costa, Douglas Batista da Silva Ferreira, Renato Cruz Senna, Adriano Marlisom Leão de Sousa, Alexandre Melo Casseb do Carmo, João de Athaydes Silva, Felipe Gouvea de Souza, Everaldo Barreiros de Souza

“…We evaluated two models, Multilayer Perceptron (MLP) and Support Vector Machine (SVM), in their ability to simulate 20-year monthly time series (2001–2021) of minimum and maximum river stage in the Itacaiúnas River Basin (BHRI), located in the eastern Brazilian Amazon. …”
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Replacing Gauges with Algorithms: Predicting Bottomhole Pressure in Hydraulic Fracturing Using Advanced Machine Learning by Samuel Nashed, Rouzbeh Moghanloo

“…Using a large body of work, including 42 vertical wells, an extensive dataset was constructed and meticulously packed using processes such as feature selection and data manipulation. …”
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Enhanced dry SO₂ capture estimation using Python-driven computational frameworks with hyperparameter tuning and data augmentation by Robert Makomere, Hilary Rutto, Alfayo Alugongo, Lawrence Koech, Evans Suter, Itumeleng Kohitlhetse

“…The data-driven models executed were multilayer perceptron, support vector regressor, random forest, categorical boosting, and light gradient boosting machine. …”
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PCCNN: A CNN classification model integrating EEG time-frequency features for stroke classification by Teng Wang, Fenglian Li, Jia Yang, Wenhui Jia, Fengyun Hu

“…A pyramid fusion mechanism integrates branch outputs into a fused feature vector, enabling the feature interaction through a top-level fusion CNN. …”
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Defects in magnetic domain walls after single-shot all-optical switching by Daniel Metternich, Kai Litzius, Sebastian Wintz, Kathinka Gerlinger, Sascha Petz, Dieter Engel, Themistoklis Sidiropoulos, Riccardo Battistelli, Felix Steinbach, Markus Weigand, Steffen Wittrock, Clemens von Korff Schmising, Felix Büttner

“…Here, we study domain walls around all-optically nucleated magnetic domains using x-ray vector spin imaging and observe a high density of vertical Bloch line defects. …”
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