Mathematical modeling methods in assessing the prospects of export development in the Republic of Tatarstan of the Russian Federation by Yu. A. Shakirova, A. A. Gataullina, N. I. Shamsutdinova

“…In the conditions of instability of the Russian economy, Russian regions have faced the problem of finding new directions of foreign economic development. Mathematical modeling methods, considering the distance between partner regions and their economies volumes, can be effective tools for solving the problem. …”
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Two forecasting model selection methods based on time series image feature augmentation by Wentao Jiang, Quan Wang, Hongbo Li

“…Abstract Forecasting and early warning of agricultural product prices is a crucial task in stream data event analysis and agricultural data mining. Existing methods for forecasting agricultural product prices suffer from inefficient feature engineering and challenges in handling imbalanced sample data. …”
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Groundwater Nitrate Modeling in Tehran Metropolis Using Artificial Neural Network and Kriging Methods by Fatemeh Nickbeen, Abdolrassoul Salmanmahiny

“…The results showed that the neural network has a high capability for predicting and modelling groundwater nitrate concentration compared to the Kriging method. …”
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Geometric nonlinear analysis based on the generalized displacement control method and orthogonal iteration by Li Ling

“…In the simulated disaster environment, the model took 1,615 s to calculate the ultimate load of 84 contact elements, which is 43.1% more efficient than the section method and 62.6% more efficient than the discrete analysis method. …”
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RESEARCH ON THE RELATIONSHIP BETWEEN LOAD ANALYSIS METHOD AND FATIGUE OF LOWER CONTROL ARM by DU Jian, YU RenJie, XIAO Pan, DONG GuoJiang

“…The six-component force signal of wheel center simulation value was compared with test value in the time domain and the frequency domain. The analysis results show the accuracy of 3 D virtual road and tire model; Comparison of simulation value of three methods and test value of the vertical acceleration of the wheel center shows virtual iteration method has the highest precision,and fixed body method has the worst precision. …”
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Evaluating variable selection methods for multivariable regression models: A simulation study protocol. by Theresa Ullmann, Georg Heinze, Lorena Hafermann, Christine Schilhart-Wallisch, Daniela Dunkler, for TG2 of the STRATOS initiative

“…Researchers often perform data-driven variable selection when modeling the associations between an outcome and multiple independent variables in regression analysis. …”
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The Relationship between Trabecular Bone Structure Modeling Methods and the Elastic Modulus as Calculated by FEM by Tomasz Topoliński, Artur Cichański, Adam Mazurkiewicz, Krzysztof Nowicki

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Evolution of CFD numerical methods and physical models towards a full discrete approach by Caltagirone, Jean-Paul

“…The physical models and numerical methodologies of Computational Fluid Dynamics (CFD) are historically linked to the concept of continuous medium and to analysis where continuity, derivation and integration are defined as limits at a point. …”
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A Stock Prediction Method Based on Deep Reinforcement Learning and Sentiment Analysis by Sha Du, Hailong Shen

“…In this paper, we use the Q-learning algorithm based on a convolutional neural network and add sentiment analysis to establish a prediction method for Chinese stock investment tasks. …”
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Text classification by CEFR levels using machine learning methods and BERT language model by Nadezhda S. Lagutina, Ksenia V. Lagutina, Anastasya M. Brederman, Natalia N. Kasatkina

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Constructing ‌mathematical Models, by Interpolation Methods, of people’s interest to listening to Quran’s voice or music by Nazeera Sedeek Barznji, Rezan Sadeq Kareem

“…For this purpose, the Interpolation Method that is used is one of the important concepts in applied mathematics, especially in Numerical Analysis, it is the process of deriving a simple function from a set of discrete data points, Interpolation Method has several types. …”
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Modelling the Temperature of a Data Centre Cooling System Using Machine Learning Methods by Adam Kula, Daniel Dąbrowski, Marcin Blachnik, Maciej Sajkowski, Albert Smalcerz, Zygmunt Kamiński

“…The additional analysis indicates a limitation of the use of the XGBoost model which tends to underestimate temperature as it approaches higher values, which is particularly important in avoiding safety conditions violations of the compute units.…”
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Development of interaction model for air traffic controllers and pilots using discrete mathematics methods by A. I. Stepnova, V. I. Kochergin, S. M. Stepanov, V. A. Borsoev

“…Air traffic controllers and pilots typical errors were compiled and analyzed, arrays of specialists errors were created, binary error relations based on methods of discrete mathematics were also compiled in this article. …”
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Evaluation method of e-government audit information based on big data analysis by Jingui He, Hansi Ya

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Vibration Mitigation Analysis of Underplatform Damper Based on a Joint Simulation Method by Lubing Xu, Wei Li, Mingfu Liao, Kanghe Jiang, Xiangrong Liu, Shengtao Zhang, Jiaxi Zhou

“…Based on the simplified friction model, a MATLAB–Python–Abaqus joint simulation method based on the Abaqus simulation platform is established. …”
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DIGITAL EXAMINATION METHODS OF ANATOMICAL ELEMENTS OF MASTICATORY SYSTEM AND BASIC OCCLUSION RELATIONSHIPS by R.M. Stupnytskyi, V.R. Yarychkivskyi

“…Autodesk 3ds MAX (3D Studio MAX) and a polygonal modeling method were used to create 3D models. Mathematical simulation (mathematical modeling) is a method of studying processes or phenomena by creating their mathematical models and studying these models. …”
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Electricity pinch analysis method for flexibility supply-demand matching in power systems by Yaling Mao, Tiejiang Yuan, Xueqin Tian, Yue Teng

“…Subsequently, a unified characterization method is developed to model the amplitude-frequency characteristics of flexibility resources, ensuring compatibility with pinch analysis requirements. …”
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Transforming Informed Consent Generation Using Large Language Models: Mixed Methods Study by Qiming Shi, Katherine Luzuriaga, Jeroan J Allison, Asil Oztekin, Jamie M Faro, Joy L Lee, Nathaniel Hafer, Margaret McManus, Adrian H Zai

“…MethodsWe processed 4 clinical trial protocols from the institutional review board of UMass Chan Medical School using the Mistral 8x22B model to generate key information sections of ICFs. …”
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Analysis of Velocimetry Processing Method Based on Doppler Asymmetric Spatial Heterodyne Spectrometer by Xiang Peng, Enhai Liu, Shulin Tian, Rujin Zhao

“…Therefore, this article provides a detailed introduction to the measured physical quantity transfer process, de-rives the constraints of DASH spectral velocimetry by discrete sampling, spectral offset analysis, and phase deviation analysis methods. Furthermore, it clarifies the impact of back-end signal processing methods on velocity measurement resolution and the range of algorithm errors. …”
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Cognitive network channel allocation method based on the queuing delay and game analysis by Jun LIU, Xiu-feng XIE

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