An Improved Equation for Predicting Compressive Stress in Posttensioned Anchorage Zone by Young-Ha Park, Moon-Young Kim, Jong-Myen Park, Se-Jin Jeon

“…Validity of the approximate equation for predicting compressive stress in the posttensioned anchorage zone presented in the AASHTO LRFD Bridge Design Specifications was investigated in this study. …”
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Triadic balance and network evolution in predictive models of signed networks by Hsuan-Wei Lee, Pei-Chin Lu, Hsiang-Chuan Sha, Hsini Huang

“…Our method significantly improves out-of-sample prediction accuracy for network ties, with additional predictive power from incorporating negative network information. …”
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Baseline Factors Predictive of SLT Response: A Prospective Study by Robin Bruen, Mark R. Lesk, Paul Harasymowycz

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Predicting the Optimal Treatment for Diseases Using Whale Optimization Algorithm by Sudad Abed, Zuhal Adel Madlool

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Preoperative prediction of flexible ureteroscopy outcome in the treatment of renal calculi by Mohammed Abozaid, Eid Elsherif, Fatma Elserafy, Islam Abobakr, Mohamed Selim

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A Predictive Model of Mining Collapse Extent and Its Application by Jia Nan, Cheng Liu, Yi Liu

“…The research results provide systematic reference and technical support for the analysis of stope collapse mechanism, prediction of hidden trouble, and the subsequent mining.…”
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Prediction of Chloride Diffusion in Concrete Structure Using Meshless Methods by Ling Yao, Xiaolu Li, Ling Zhang, Lingling Zhang

“…These results indicate that MWLS and EFG are reliable meshless methods that can be used for the prediction of chloride ingress in concrete structures.…”
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Predicting Last Spring Freezing Day in West and Northwest of Iran by Hasan Zolfaghari, Gholamreza Zahedi, Tayebe Sajjadifar

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A New Mathematical Model for Food Thermal Process Prediction by Dario Friso

“…The quantities g, z, and Jcc, are input variables for predicting fh/U, while z, Jcc and fh/U are input variables for predicting the value of g, which is necessary to calculate the heating process time B, at constant retort temperature, using Ball’s formula. …”
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Random Walk Based Location Prediction in Wireless Sensor Networks by Zhaoyan Jin, Dianxi Shi, Quanyuan Wu, Huining Yan

“…In this paper, we study the problem of future location prediction in WSNs. We assume the location histories of mobile objects as a rating matrix and then use a random walk based social recommender algorithm to predict the future locations of mobile objects. …”
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Successful External Cephalic Version: Factors Predicting Vaginal Birth by Pei Shan Lim, Beng Kwang Ng, Anizah Ali, Mohamad Nasir Shafiee, Nirmala Chandralega Kampan, Nor Azlin Mohamed Ismail, Mohd Hashim Omar, Zaleha Abdullah Mahdy

“…To determine the maternal and fetal outcomes of successful external cephalic version (ECV) as well as factors predicting vaginal birth. Methods. The ECV data over a period of three years at Universiti Kebangsaan Malaysia Medical Centre (UKMMC) between 1 September 2008 and 30 September 2010 was reviewed. …”
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Performance Prediction for Higher Education Students Using Deep Learning by Shuping Li, Taotang Liu

“…Predicting students’ performance is very important in matters related to higher education as well as with regard to deep learning and its relationship to educational data. …”
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The Optimal Supply Decision Based on Dynamic Multiobjective Optimization and Prediction by Kejia He, Hongyu Cheng, Yuchen Zhou, Cuihua Xie

“…The dynamic prediction protocol is obtained by considering the variation in production and material costs by an evolutionary algorithm. …”
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The comparative analysis of theoretical models for predicting thermal conductivity of nanofluid by O. V. Vdovin, E. N. Slobodina, A. G. Mikhailov

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Prediction of Deleterious Nonsynonymous Single-Nucleotide Polymorphism for Human Diseases by Jiaxin Wu, Rui Jiang

“…We classify the existing methods for characterizing nsSNPs into three categories (sequence based, structure based, and annotation based), and we introduce machine learning models for the prediction of deleterious nsSNPs. We further discuss methods for identifying deleterious nsSNPs in noncoding variants and those for dealing with rare variants.…”
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Wheat Futures Prices Prediction in China: A Hybrid Approach by Yunpeng Sun, Jin Guo, Shan Shan, Yousaf Ali Khan

“…This research investigates whether China wheat futures price can be predicted by employing artificial intelligence neural network. …”
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An Interpretable Prediction Method for Tobacco Drying Process Based on CGTNN by Wencai Wang, Chen Yang, Wenwei Niu, Sidi Lin, Qiang Gao, Zhe Cao, Jianning Chen, Jianzhong Li, Zhengkui Li

“…In addition, to address the risks posed by the uninterpretability of deep learning models,shapley values are used for interpretability analysis, aligning predictions with production experience. Experiments with production data show that the model accurately predicts moisture content with a Mean Absolute Error (MAE) of 0.016%, Root Mean Squared Error (RMSE) of 0.024%, and an Explainable variance (R2) of 0.987, outperforming other models. …”
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Model-Based Sensitivity Analysis on Aerosol Optical Thickness Prediction by Bo Han, Xiaowei Gao, Xiaohui Cui

“…Prediction of aerosol optical thickness (AOT) is important to study worldwide climate changes. …”
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Solar Energy Prediction for Malaysia Using Artificial Neural Networks by Tamer Khatib, Azah Mohamed, K. Sopian, M. Mahmoud

“…This paper presents a solar energy prediction method using artificial neural networks (ANNs). …”
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Machine Learning Optimization and Challenges in Used Car Price Prediction by Zheng Yufan

“…The paper initially reviews existing machine learning models and their performance in predicting luxury car prices, emphasizing both their strengths and limitations. …”
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