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. …”
Get full text

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%. …”
Get full text

Predicting young Chinese consumers' intentions to purchase Western brands: Structural model analysis. by Fei Long, Miraj Ahmed Bhuiyan, Norzalita Abd Aziz, Muhammad Khalilur Rahman

Get full text

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. …”
Get full text

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. …”
Get full text

Prediction model for China's monthly LNG ex-factory prices based on BP-ARIMA by Xueping DU, Qinghua ZHAO, Lin MI, Zhikai LANG, Menglin LIU, Jiangtao WU

Subjects: “…variable-weight combined prediction model…”
Get full text

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. …”
Get full text

Distributional dual-process model predicts strategic shifts in decision-making under uncertainty by Mianzhi Hu, Hilary J. Don, Darrell A. Worthy

Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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. …”
Get full text

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. …”
Get full text

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

Subjects: Get full text

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

Subjects: Get full text

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. …”
Get full text

A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomes by Chang Gong, Jennifer J. Linderman, Denise Kirschner

“…How the fate of individual granulomas influence overall infection outcome at host scale is not understood, although computational models have been developed to predict single granuloma behavior. …”
Get full text

Assessment and Prediction of Coastal Ecological Resilience Based on the Pressure–State–Response (PSR) Model by Zhaoyi Wan, Chengyi Zhao, Jianting Zhu, Xiaofei Ma, Jiangzi Chen, Junhao Wang

“…In this study, a new approach based on the Pressure–State–Response model is developed to assess and predict pixel-scale multi-year ecological resilience (ER) and then applied to investigate the spatiotemporal variations of ER in the China’s coastal zone (CCZ) in the past few decades and predict future ER trend under various scenarios. …”
Get full text

Research on short-term traffic flow prediction based on the PCC-IGA-LSTM model by Junxi Zhang, Shiru Qu, Yang Bi, Lijing Ma

“…To effectively address the spatial–temporal feature mining problem in short-term traffic flow prediction for complex road networks, a new method that combined the Pearson correlation coefficient (PCC) and improved genetic algorithm to optimize the long short-term memory model (IGA-LSTM) was constructed. …”
Get full text