Integrated Thermomechanical Analysis of Tires and Brakes for Vehicle Dynamics and Safety by Andrea Stefanelli, Marco Aprea, Fabio Carbone, Fabio Romagnuolo, Pietro Caresia, Raffaele Suero

“…This paper presents a novel method that overcomes this limitation by coupling the thermomechanical models of the tire and brake, enabling a more comprehensive understanding of their combined behavior. …”
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Experimental and Numerical Method for the Analysis of Warm Titanium Sheet Stamping of an Automotive Component by Antonio Fiorentino, Elisabetta Ceretti, Claudio Giardini

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Existence and stability analysis of a problem of the Caputo fractional derivative with mixed conditions by Naimi Abdellouahab, Keltum Bouhali, Loay Alkhalifa, Khaled Zennir

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Analysis of the Impact and Weight of Structural Parameters on the Operating Characteristics of the Spring Operating Mechanism by Qi Long, Xu Yang, Keru Jiang, Changhong Zhang, Xiao Wang, Xiongying Duan

“…By integrating the support vector machine surrogate model with the Monte Carlo reliability analysis method, the failure probability of the mechanism was determined, along with the specific influence weights of structural parameters on the operational characteristics of the spring-operated mechanism. …”
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Conservation Law Analysis in Numerical Schema for a Tumor Angiogenesis PDE System by Pasquale De Luca, Livia Marcellino

“…Here, we provide a conservation properties analysis in a tumor angiogenesis model describing the evolution of endothelial cells, proteases, inhibitors, and extracellular matrix. …”
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Structural optimization and analysis of surface acoustic wave biosensor based on numerical method by Zhaoming Zhou, Jinsong Tan, Jia Zhang, Mian Qin

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Analysis of the Calculation of a Plasma Sheath Using the Parallel SO-DGTD Method by Qian Yang, Bing Wei, Linqian Li, Debiao Ge

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A New Accident Analysis Method Based on Complex Network and Cascading Failure by Ziyan Luo, Keping Li, Xin Ma, Jin Zhou

“…A new accident causation model is proposed for accident analysis based on the complex network theory. …”
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Research of Vibration and Noise Analysis Method of High-speed Gear for Electric Vehicle by Ruixin Wang, Chao Yang, Jinfeng Li, Yu Gong, Hongqi Liu, Jingcai Zhang

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Problem Analysis of Asaoka Method on the Post-construction Settlement Prediction of Soft Ground by ZHOU Yuelei, LIU Zhonghan

“…In view of uncertainty of Asaoka method on the post-construction settlement prediction of soft ground,this paper transforms the measured data at constant time interval through BP neural network with good nonlinear fitting ability,establishes the regression analysis model at different starting points and different time intervals based on Asaoka method,predicts the post-construction settlement by the model and analyze the stability of the predicted value through mathematical methods,as well as comprehensively analyzes the stability of the prediction results with the measured data of a soft foundation treatment project.The analysis results show that:①BP neural network with good nonlinear fitting ability is effectively used in the transformation of the measured data of soft ground;②It is not advisable to judge the reliability of Asaoka method by the correlation coefficient;③The small error of β₁ can cause significant error to the prediction results;④The reliability of prediction results can be increased by expanding time interval.…”
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Equibiaxial Planar Tension Test Method and the Simulation Analysis for Hyperelastic EAP Membrane by Huaan Luo, Yinlong Zhu, Haifeng Zhao, Luqiang Ma, Jingjing Zhang

“…The experimental data were compared with those obtained from two-corner-point-fixed tension tests and fitted with nonlinear material models, and the model’s parameters were also evaluated. …”
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Ion-pair reversed-phase chromatography analysis of oligonucleotides using ultra-short (20 x 2.1 mm) columns. Tutorial by Szabolcs Fekete, Mateusz Imiołek, Matthew Lauber

“…Our findings emphasize the utility of systematic method development, including software-assisted retention modeling, to optimize gradient steepness and temperature such that resolution can be optimized for both sequence and length variants. …”
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Risk Analysis of Digital Twin Project Operation Based on Improved FMEA Method by Longyu Li, Jianxin You, Tao Xu

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Analysis of Rebound Rate of Wet Shotcrete Based on Experiment and Discrete Element Method by Chang Su, Zhuang Wu, Xiaokui Zheng

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K-Nearest Neighbor Method with Principal Component Analysis for Functional Nonparametric Regression by Shelan Saied Ismaeel, Kurdistan M.Taher Omar, Bo Wang

“…Then, when  the covariates  are functional and the Principal Component Analysis was utilized to de-correlate the multivariate response variables model, results are more preferable than the independent response method. …”
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Construction of Discrimination Models in Prediction of Bankruptcy if Polish Non-Public Enterprises by Bernard Kokczyński

“…The use of different methods for selecting independent variables for models and winsorization directly impacts classification efficacy. …”
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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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Methods and reliability study of moral education assessment in universities: A machine learning-based approach by Ting Jin

“…The objective is to employ data-driven methodologies to enhance ethical assessment frameworks through improved objectivity, scalability, and consistency. This analysis utilizes Principal Component Analysis (PCA) alongside the k-Nearest Neighbor (k-NN) method, Support Vector Regression (SVR), and Artificial Neural Networks (ANN) to study student performance indices, enabling the prediction of ethical reasoning capabilities for standardized evaluation. …”
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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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