Modeling the compressive strength behavior of concrete reinforced with basalt fiber by Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, Viroon Kamchoom, Paul Awoyera, Siva Avudaiappan

“…The study incorporates various modeling techniques, including Artificial Neural Networks (ANN), k-Nearest Neighbors (KNN), Support Vector Machines (SVM), Decision Trees, and Random Forest (RF), to evaluate their predictive capabilities. …”
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Use of New Methods to Determine the Inputs Effective in Estimating Soil Temperature by Babak Mohammadi

“…Finally, according to the results, it can be concluded that the methods used for pre-processing the data in this study do not differ significantly in soil temperature prediction, and both methods have worked well. Also, the SVM model in all estimations has a more acceptable performance than the ANN model.…”
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Height of Hydraulic Fracture Zone Based on PSO_LSSVM Model by Hebin Zhang, Tingting Wang, Bin Wu, Haijun Feng

“…At the same time, this study develops a particle swarm optimization algorithm based on adaptive inertia weight and a least squares support vector machine model to achieve height prediction of water conducting fracture zones. …”
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Automated age grading of female Culex pipiens by an optical sensor system coupled to a mosquito trap by María I. González Pérez, Bastian Faulhaber, Mark Williams, Joao Encarnaçao, Pancraç Villalonga, Carles Aranda, Núria Busquets

“…Conclusions An automated mosquito age-grading system was applied for the first time to our knowledge for automated age classification in mosquitoes; and complements the mosquito genus and sex classification capability of the system reported in our previous work. The system may find use in mosquito-borne disease surveillance and control to help to discriminate young mosquitoes (≤ 4 days old) from older mosquitoes, which may act as vectors of arboviruses. …”
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Model of the professional profile of a class teacher: formats of activity by Irina Vladimirovna Lebedeva, Anna Aleksandrovna Loshchilova

“…Research methods: critical analysis of pedagogical, psychological and regulatory sources, comparative analysis of the phenomena of educational practices based on a paradigmatic approach, design, modeling, vectors of the class teacher’s professional work as an organizer and implementer of educational events; the need for a multidimensional professional profile of the class teacher is justified; its integrative model is developed, reflecting all formats of professional activity and personal development. …”
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Failure State Identification and Fault Diagnosis Method of Vibrating Screen Bolt Under Multiple Excitation of Combine Harvester by Jiaojiao Xu, Tiantian Jing, Meng Fang, Pengcheng Li, Zhong Tang

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Fusion rules and structure constants of E-series minimal models by Rongvoram Nivesvivat, Sylvain Ribault

“…We conjecture that structure constants are given by a universal expression built from the double Gamma function, times polynomial functions of $\cos(\pi\frac{p}{q})$ with values in $\mathbb{Q}\big(\cos(\frac{\pi}{q})\big)$, which we work out explicitly for $q=12$. We speculate on generalizing E-series minimal models to generic integer values of $q$, and recovering loop CFTs as $p,q\to ∞$.…”
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The Model of Children’s Value Orientations in Educational Organizations: Design Approaches by Kaznacheyeva N.N., Metlik I.V., Shestakova O.A.

“…The article substantiates a theoretical model of children's value orientations in various educational organizations. …”
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THE TASK OF MINIMAX ADAPTIVE MANAGEMENT OF INNOVATIVE PROCESSES AT AN ENTERPRISE WITH RISK ASSESSMENT by Vitalina Babenko, Elena Alisejko, Zoya Kochuyeva

“…The following conclusions are made: the suggested method makes it possible to work out efficient numerical procedures that enable computer modelling the dynamics of the target task, developing adaptive minimax management of EIP and obtaining an optimal guaranteed result. …”
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Role of Feature Diversity in the Performance of Hybrid Models—An Investigation of Brain Tumor Classification from Brain MRI Scans by Subhash Chand Gupta, Shripal Vijayvargiya, Vandana Bhattacharjee

“…Our proposed hybrid models are built by the fusion of feature vectors. …”
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SIMPLIFIED MATHEMATICAL MODEL OF SMALL SIZED UNMANNED AIRCRAFT VEHICLE LAYOUT by V. V. Vyshinsky, A. O. Kislovskiy, S. A. Kolchev

“…Vector components must include all main parameters conventionally used for layouts description and completely replicate the most important aerodynamics and structural properties.The first stage of the work is presented in the paper. …”
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Information-Theoretical Analysis of a Transformer-Based Generative AI Model by Manas Deb, Tokunbo Ogunfunmi

“…Despite the proliferation of these models, a deep understanding of how they work under the hood remains elusive. …”
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Modeling and proving dynamic behaviors of a routing protocol: A tutorial by Agnieszka Paszkowska, Konrad Iwanicki

“…To stimulate this type of work, in this article, we give a tutorial on how such guarantees can be derived formally. …”
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Using topological data analysis and machine learning to predict customer churn by Marcel Sagming, Reolyn Heymann, Maria Vivien Visaya

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Deep learning driven methodology for the prediction of mushroom moisture content using a novel LED-based portable hyperspectral imaging system by Kai Yang, Ming Zhao, Dimitrios Argyropoulos

“…For comparison purposes, state-of-the-art machine learning algorithms, i.e., support vector machine regression (SVMR) and partial least squares regression (PLSR) were also investigated for the model development based on five spectra pre-processed methods using two different lighting systems i.e., enhanced light-emitting diode (LED) and tungsten halogen (TH). …”
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Modeling and simulation of residual stress in metal cutting process: A review by Ruihu Zhou

“…These include support vector regression machines, artificial neural networks, and gradient boosted trees. …”
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Machine learning models and dimensionality reduction for improving the Android malware detection by Pablo Morán, Antonio Robles-Gómez, Andres Duque, Llanos Tobarra, Rafael Pastor-Vargas

“…The authors only employ the support vector machine to determine whether a sample is malware or not. …”
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An open source code for modeling radio wave propagation in earth’s ionosphere by Alexander Green, William J. Longley, Meers M. Oppenheim, Matthew A. Young

“…We also highlight specific use cases for future work, including coupling to external models for ionospheric densities, quantifying HF/VHF scintillation, and simulating radar backscatter. …”
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LSTM+MA: A Time-Series Model for Predicting Pavement IRI by Tianjie Zhang, Alex Smith, Huachun Zhai, Yang Lu

“…Moreover, an overfitting score is proposed in this work to represent the severity degree of the overfitting problem, and it shows that the proposed model does not suffer severely from overfitting.…”
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Unsupervised Learning With Hybrid Models for Detecting Electricity Theft in Smart Grids by Ali Jaber Almalki

“…By fusing supervised learning models (Random Forest) with unsupervised learning algorithms (Isolation Forest, One-Class Support Vector Machine (SVM), Local Outlier Factor (LOF), and Density-Based Spatial Clustering of Applications with Noise(DBSCAN)), this study presents a unique hybrid technique for identifying power theft. …”
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