An Equivalent Modeling Method for Electromagnetic Radiation of PWM Fans with Multiple Radiation Sources by Jinsheng Yang, Xuan Zhao, Jingxuan Xia, Wei Zhang, Pingan Du, Baolin Nie

“…Due to its multiple radiation sources and relatively smaller size compared to the equipment, the radiation prediction model for equipment-level EMC analysis often involves a huge number of grids, which leads to computational difficulties and inefficiencies, and thus an equivalent modeling method for the electromagnetic radiation of PWM fan is presented. …”
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Category Management Methods as a Basis for organizing a Balanced Procurement Model by A. M. Levandovskaia

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ProBoost: Reducing Uncertainty Using a Boosting Method for Probabilistic Models by Fabio Mendonca, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias, Antonio G. Ravelo-Garcia, Mario A. T. Figueiredo

“…Uncertainty analysis of classification or regression models is a key feature of probabilistic approaches to supervised learning, allowing the assessment of how trustworthy predictions are. …”
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Deep Forest Modeling: An Interpretable Deep Learning Method for Mineral Prospectivity Mapping by Yue‐Lin Dong, Zhen‐Jie Zhang

“…Deep Forest shows high performance and can avoid the black box problem of DL without relying on other tools in DL, providing a new perspective for the development and application of other non‐neural network DL models for mineral prediction. Feature importance analysis shows that geological structure and magmatism significantly influence PCD prediction. …”
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Mathematical Modeling of Traffic Flow in Kampala City Using the Moving Observer Method by Okiza,Humphrey, Muhwezi, Lawrence, Omwonylee, Okello Joseph, Awichi, Richard Opaka, Nuwagaba, Savannah

“…Data on traffic density, speeds, and driver behaviors were collected for a period of 20 days from five selected road sections leading into and out of the city which included traffic on Entebbe Road, Jinja road, Sir Apollo Kaggwa Road, Yusuf Lule and Wandegeya roads using the moving observer method. Regression analysis was done to identify the relationships between the variables, leading to the development of a predictive model for traffic flow. …”
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Geographic knowledge graph-guided twin modeling method for complex city scene by Zhihao Guo, Jun Zhu, Jinbin Zhang, Jianlin Wu, Yukun Guo, Fanxu Huang, Jiahao Li, Weilian Li, Bingli Xu

“…Based on this method, a prototype system was developed for an urban park, and experimental analysis was conducted. …”
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MAGECODE: Machine-Generated Code Detection Method Using Large Language Models by Hung Pham, Huyen Ha, van Tong, Dung Hoang, Duc Tran, Tuyen Ngoc Le

“…Consequently, various machine-generated text (MGT) detection methods, developed from metric-based and model-based approaches, were proposed and shown to be highly effective. …”
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Modeling of Battery Storage of Photovoltaic Power Plants Using Machine Learning Methods by Rad Stanev, Tanyo Tanev, Venizelos Efthymiou, Chrysanthos Charalambous

“…This research presents a methodology and realization of a set of 11 BESS models based on different machine learning methods. …”
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Noise Elimination of Reciprocating Compressors Using FEM, Neural Networks Method, and the GA Method by Ying-Chun CHANG, Min-Chie CHIU, Ji-Lin XIE

“…Because the geometry of a reciprocating compressor is irregular, COMSOL, a finite element analysis software, is adopted. In order to explore the acoustical performance, a mathematical model is established using a finite element method via the COMSOL commercialized package. …”
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An efficient method for predicting the morphology of proppant packs based on a surrogate model by Tao ZHANG, Hangyu ZHOU, Yifan ZHANG, Jianchun GUO, Haoran GOU, Tang TANG

“…Intelligent proxy models for the prediction of proppant placement patterns were established on the basis of the cascade neural network, including a time-concentration model for predicting particle volume fraction and a displacement-height model for predicting particle placement height. …”
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Novel closed-form travelling wave solutions for space-time fractional coupled Boussinesq–Burger model using extended direct algebraic method by Taha Radwan, Muhammad Bilal, Saleh Fahad Aljurbua, Alhanouf Alburaikan, Hamiden Abd El-Wahed Khalifa

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Recreational and tourist destination research methods by Tetiana Bozhuk

“…To study and synthesis of theoretical and methodological approaches to determining the conceptual and terminology used RTDe research methods and logical structure and system analysis (structural and geographic analysis); in identifying and clarifying the spatial patterns of differences in territorial organization used methods of space-time analysis; for comparative characteristics of individual properties RTDe and regional level – comparative method; to systematize information, determine the classification categories of types and subtypes RTDe – methods of systematization and classification; to study the history of RTDe, the origin of their individual components and varieties – historical-geographical method; in the present state of research, planning and organizational and functional structure of different types RTDe methods applied field research (conducted in 2006-2013 years.) poll (questionnaire), peer assessment, recording and evaluation of Christian sacred objects for the needs of tourism and recreation, mathematical logic and computer graphics, and other cartographic modeling. …”
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Dynamic Analysis and Scale Optimization of Prefabricated Building Wall Panel Installation by Jiang Mingyang, Zhang Lin, Liu Hongbin, Sima Mingyang, Yu Ningtao

“…Based on Creo software, a virtual prototype of the prefabricated building wall panel installation machine before and after optimization is established, and dynamic simulation analysis is performed to verify the correctness of the scale optimization model. …”
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An Optimized Method for BMI in Environmental Projects Based on the Value-Oriented AHP by Yuanyuan Liu, Wei Liu

“…In this study, an AHP-based evaluating algorithm is firstly proposed based on the viewpoints of multiple stakeholders’ value propositions. Using this method, four typical pilot RSWM models across China are assessed and ranked, followed by a comprehensive analysis of the results and the incorporation of hierarchical criteria from multiple value dimensions. …”
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Using R/S analysis for forecasting stock quotes with ARMA and ARIMA methods by Stupina Alena, Zinenko Anna

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Analysis of soil suitability for agricultural needs using machine learning methods by Kurashkin Sergei, Kravtsov Kirill, Kukartsev Anatoly, Boyko Andrey, Volneikina Ekaterina

“…Moreover, the study addresses the importance of accessible and cost-effective data collection methods for scaling the model to different regions. …”
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Using Least squares methods and nonlinear regression Methods to Calculate the Approximate Value of Ionicity in Terms of the Energy Gap by Ghassan E. Arif, Sura Y. Jaafar, Shymaa M. Abdullah

“… The objective of the current study is to find the best mathematical models to calculate the estimated value of the ionization for the physical compounds of semiconductors based on the energy gap throughout using some numerical analysis methods as the least squares method. …”
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Modal Analysis of the Key Components of RV Reducer by Sun Yongsen, Zhou Yanfei, Yang Xiao, Zhang Xiang, Xia Tian

“…By using the finite element method,modal analysis is conducted to get the natural frequency and vibration mode at each order of the cycloidal gear and the pinwheel in two working conditions. …”
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Comparative Analysis of Transfer Function Method with Advanced Flood Prediction Techniques by Jafar Chabokpour

“…The sensitivity analysis returned variable model responses to the quality of the input data; an input variation of 20% reduced the NSE of the Saint-Venant model to 0.73 and that of the Transfer Function to 0.44. …”
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Analysis of the Band-Structure in (Ga, Mn)As Epitaxial Layers by Optical Methods by O. Yastrubchak

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