Performance Comparison of Basic Pesticide Residue Prediction Models in Domestic Agricultural Environments by Hyun-Geoun Park, Sang-Ik Suh, Bum-Seok Lee, Hyo-Sub Lee, Seo Jin Ki

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Deterioration Models and Service Life Prediction of Vertical Assets of Urban Water Systems by M. Cabral, D. Loureiro, C. Amado, D. Covas

Subjects: “…deterioration models…”
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Multistep Prediction Model for Photovoltaic Power Generation Based on Time Convolution and DLinear by WANG Shuyu, LI Hao, MA Gang, YUAN Yubo, BU Qiangsheng, YE Zhigang

“…However， the traditional model has the problem of insufficient time-trend learning ability and error accumulation in multistep photovoltaic power prediction， which limits the improvement of prediction accuracy. …”
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A Modified Fatigue Damage Model for High-Cycle Fatigue Life Prediction by Meng Wang, Qingguo Fei, Peiwei Zhang

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Nonequilibrium Molecular Velocity Distribution Functions Predicted by Macroscopic Gas Dynamic Models by Maksim Timokhin, Yevgeniy Bondar

“…In the present study, abilities of various macroscopic models (Navier–Stokes–Fourier, Burnett, original and regularized Grad’s 13-moment equations) in predicting the nonequilibrium molecular velocity distribution are examined. …”
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Development of machine learning models for the prediction of the skin sensitization potential of cosmetic compounds by Wu Qiao, Tong Xie, Jing Lu, Tinghan Jia

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A Fractal Prediction Model for the Friction Coefficient of Wet Clutch Friction Plates by Jianfeng Cao, Sirui Yang, Zhigang Chen, Haoxuan Sun, Fenglian Ning, Heyun Bao

“…A comparative experiment between the joint motion state and dynamic simulation is performed, concluding that the micro convex contact model has certain accuracy in predicting the contact state of friction plates under various working conditions.…”
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Traffic Flow Prediction Based on Large Language Models and Future Development Directions by Zhang Muhua, Zhao Wenzheng

“…This paper references a responsible and reliable traffic flow prediction model (R2T-LLM) based on large language models (LLMs). …”
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Predicting Remaining Useful Life Based on Hilbert–Huang Entropy with Degradation Model by Yuhuang Zheng

“…To assess the degradation of a machine, this paper presents a bearing remaining useful life (RUL) prediction method. The method relies on a novel health indicator and a linear degradation model to predict bearing RUL. …”
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The application of the motivation-opportunity-ability model in predicting green entrepreneurial behavior of farmers by Zobeyde Kouchaky, Fatemeh Razzaghi Borkhani, Taher Azizi-Khalkheili, Fatemeh Ghorbani Piralidehi

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Tool temperature prediction in end milling using voxel model-based simulation by Rei MATSUMURA, Isamu NISHIDA, Keiichi SHIRASE

“…The heat input is estimated by the cutting energy predicted by machining simulation with the instantaneous cutting force model. …”
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Development and validation of a novel coronary artery disease risk prediction model by Zu-Fei Wu, Si-Xiao Tao, Wen-Tao Su, Shi Chen, Bai-Da Xu, Gang-Jun Zong, Gang-Yong Wu

“…Based on the results of multifactorial logistic analysis, the CAD risk prediction model built with R-Studio had a highest C-index of 0.909, and a validation cohort C-index of 0.897, demonstrating excellent predictive ability. …”
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The Surface Roughness Prediction Model of Microlens Array in Slow Tool Servo Cutting by LIN Zeqin, CHEN Xindu, YAN Zhitao, SUN Hao

“…A prediction model for the surface topography generation in the ultra precision machining of microlens arrays is established . …”
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Applicability of machine learning models for drought prediction using SPI in Kalahandi, Odisha by AMIT PRASAD, R.K. SINGH, K V RAMANA RAO, C. K. SAXENA

“…Overall, machine learning models, particularly ANN and SVM, proved to be superior for predicting both long-term (SPI-12) and short-term (SPI-6) precipitation indices, highlighting their effectiveness for accurate drought forecasting. …”
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A NEW MULTIAXIAL FATIGUE LIFE PREDICTION MODEL AND ITS APPLICATION (MT) by REN Zhong, QIN XianRong, ZHANG Qing, SUN YuanTao, LIU Yuan

“…The test data of two materials under the non-proportional loading and proportional loading path are used to verify the proposed life prediction model, and compared with the prediction results of the FS model. …”
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Prediction of influenza peaks in Russian cities: Comparing the accuracy of two SEIR models by Vasiliy N. Leonenko, Sergey V. Ivanov

Subjects: “…mathematical modeling…”
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In vivo electrophysiology recordings and computational modeling can predict octopus arm movement by Nitish Satya Sai Gedela, Ryan D. Radawiec, Sachin Salim, Julianna Richie, Cynthia Chestek, Anne Draelos, Galit Pelled

“…The neural circuits and the computational models identified here generated predictions for how to evoke a particular, complex movement in an orchestrated sequence for an individual motor circuit. …”
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Triphasic CT Radiomics Model for Preoperative Prediction of Hepatocellular Carcinoma Pathological Grading by Huang H, Pan X, Zhang Y, Yang J, Chen L, Zhao Q, Huang L, Lu W, Deng Y, Huang Y, Ding K

“…The performance of the fusion model was better than that of the single-phase models.Conclusion: The triphasic CT radiomics model provides a noninvasive tool for preoperative prediction of HCC pathological grading (Ed, MVI, SN), enhancing diagnostic accuracy for clinical decision-making and prognostic evaluation.Plain Language Summary: Why is this study important?…”
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A hybrid model for predicting response to risperidone after first-episode psychosis by Giovany Oliveira Costa, Vanessa K. Ota, Matheus Rodrigues Luiz, Joice Santos Rosa, Gabriela Xavier, Jessica Honorato-Mauer, Marcos L. Santoro, Carolina Muniz Carvalho, Daniel A. Cavalcante, Amanda V.G. Bugiga, Rodrigo A. Bressan, Gerome Breen, Ary Gadelha, Cristiano Noto, Diego R. Mazzotti, Sintia I. Belangero

“…This study aimed to determine the performance of clinical, genetic, and hybrid models to predict the response of patients in first-episode psychosis (FEP) to the antipsychotic risperidone. …”
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Potential cerebrospinal fluid metabolomic biomarkers and early prediction model for Parkinson’s disease by Yifan Zhang, Yifan Zhang, Yuexin Yan, Xiangxu Kong, Haijun Zhang, Shengyuan Su

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