Correction: Machine learning-based e-commerce platform repurchase customer prediction model. by Cheng-Ju Liu, Tien-Shou Huang, Ping-Tsan Ho, Jui-Chan Huang, Ching-Tang Hsieh

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Default Prediction Using the Cox Regression Model and Macroeconomic Conditions – A Lifetime Perspective by Aneta Ptak-Chmielewska, Juan Pablo Espinosa Gonzalez

“…Methodology: The Cox Proportional Hazard Rate was selected as the model to predict the default incorporating the time to event and the macroeconomic conditions into the model. …”
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Feasibility of Tunnel TEM Advanced Prediction: A 3D Forward Modeling Study by Jiannan Fu, Xiaodong Yang, Guanqun Zhou, Xueliang Jin, Fuqin Zhai, Fanbin Meng, Yafei Wang

“…The modeling algorithm is verified by a half-space model, in which the misfit of late-time channels that we are concerned with is generally below 1%. …”
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Predicting young Chinese consumers' intentions to purchase Western brands: Structural model analysis. by Fei Long, Miraj Ahmed Bhuiyan, Norzalita Abd Aziz, Muhammad Khalilur Rahman

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A Spatiotemporal Prediction Model for Regional Scheduling of Shared Bicycles Based on the INLA Method by Zhuoran Yu, Yimeng Duan, Shen Zhang, Xin Liu, Kui Li

“…Dock-less bicycle-sharing programs have been widely accepted as an efficient mode to benefit health and reduce congestions. And modeling and prediction has always been a core proposition in the field of transportation. …”
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A Productivity Prediction Model for Multistage Fractured Horizontal Wells in Shale Gas Reservoirs by Yongchao Xue, Hua Tian, Fengyuan Zhang, Longjun Wang, Qingshuang Jin

“…This paper established a productivity prediction model for MFHWs with cased hole completion and open hole completion. …”
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Analysis of Factors Affecting Abnormal Gestational Weight Gain and Construction of Risk Prediction Models by Xiaoqin Chen, Liubing Lan, Qiuping Zhong, Yanhong He, Mei Zeng, Yonghe Hu, Fengdan Lai

“…Background: Herein, we aimed to investigate the factors influencing abnormal gestational weight gain (GWG) during pregnancy and to develop a risk model for predicting deviations in GWG among pregnant women. …”
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Machine learning model to predicting synergy of ultrasonication and solvation impacts on crude oil viscosity by Nasir Khan, Mehdi Razavifar, Qazi Adnan Ahmad, Muhammad Siyar, Masoud Riazi, Waqar Khan, Jafar Qajar

“…In the second part of the study, a Machine Learning (ML) model was developed using the experimental data. …”
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Distributional dual-process model predicts strategic shifts in decision-making under uncertainty by Mianzhi Hu, Hilary J. Don, Darrell A. Worthy

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Predict the degree of secondary structures of the encoding sequences in DNA storage by deep learning model by Wanmin Lin, Ling Chu, Xiangyu Yao, Zhihua Chen, Peng Xu, Wenbin Liu

“…K-mer embedding can capture the characteristics of contiguous base pairings through overlapping short subsequences, further facilitating free-energy prediction. Compared with other deep learning models, our simulation results demonstrate that BiLSTM-Transformer model with k-mer embedding has a better prediction performance. …”
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Multiscale Feature Modeling and Interpretability Analysis of the SHAP Method for Predicting the Lifespan of Landslide Dams by Zhengze Huang, Yuqi Bai, Hengyu Liu, Yun Lin

“…This study proposes a hybrid CNN–Transformer model optimized using the Improved Black-Winged Kite Algorithm (IBKA) aimed at improving the accuracy of landslide dam lifespan prediction by combining local feature extraction with global dependency modeling. …”
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Fine-tuning transformer models for M&A target prediction in the U.S. ENERGY sector by Inés Rodríguez-Muñoz-de-Baena, María Coronado-Vaca, Esther Vaquero-Lafuente

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Stacking modeling with genetic algorithm-based hyperparameter tuning for uniaxial compressive strength prediction by Tanveer Alam Munshi, Khanum Popi, Labiba Nusrat Jahan, M. Farhad Howladar, Mahamudul Hashan

“…The proposed stacking model achieved a high testing R2 of 0.9762, outperforming individual models. …”
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A student academic performance prediction model based on the interval belief rule base by Wenkai Zhou, Yunsong Li, Jiaxing Li, Tianhao Zhang, Xiping Duan, Ning Ma, Yuhe Wang

“…The results of comparative experiments confirm the superiority of the IBRB-C model in predicting student performance.…”
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Compound Parameterization to Improve the Accuracy of Radiation Emulator in a Numerical Weather Prediction Model by Hwan‐Jin Song, Soonyoung Roh, Hyesook Park

“…Abstract To improve the numerical weather prediction model over Korea using a neural network (NN) radiation emulator, two types of compound parameterization (CP) were developed. …”
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An Ultrasound-based Machine Learning Model for Predicting Tumor-Infiltrating Lymphocytes in Breast Cancer by Boya Liu MM, Xiangrong Gu MM, Danling Xie MM, Bing Zhao BM, Dong Han MD, Yuli Zhang BM, Tao Li PhD, Jingqin Fang MD, PhD

“…This study aimed to develop and evaluate machine learning models using ultrasound-derived radiomics and clinical features to predict TIL levels in BC. …”
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Deep learning models to predict CO2 solubility in imidazolium-based ionic liquids by Amir Hossein Sheikhshoaei, Ali Sanati, Ali Khoshsima

“…Abstract This study focuses on predicting CO2 solubility in imidazolium-based ionic liquids using deep learning models with input parameters of critical pressure, critical temperature, molecular weight, and acentric factor. …”
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A sarcopenia prediction model based on the calf maximum muscle circumference measured by ultrasound by An Wei, Yan Zou, Zhen-Hua Tang, Feng Guo, Yan Zhou

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Sequence Modeling of Passive Sensing Data for Treatment Response Prediction in Major Depressive Disorder by Bochao Zou, Xiaolong Zhang, Le Xiao, Ran Bai, Xin Li, Hui Liang, Huimin Ma, Gang Wang

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Passenger Flow Prediction for Rail Transit Stations Based on an Improved SSA-LSTM Model by Xing Zhao, Chenxi Li, Xueting Zou, Xiwang Du, Ahmed Ismail

“…On this basis, we apply the proposed SSA-LSTM and four baseline models to realize the short-term prediction, and carry out the prediction experiments with different time granularities. …”
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