902   Artículos

 
en línea
Juan Ma, Qiang Yang, Mingzhi Zhang, Yao Chen, Wenyi Zhao, Chengyu Ouyang and Dongping Ming    
Accurately predicting landslide deformation based on monitoring data is key to successful early warning of landslide disasters. Landslide displacement?time curves offer an intuitive reflection of the landslide motion process and deformation predictions o... ver más
Revista: Water    Formato: Electrónico

 
en línea
C. Tamilselvi, Md Yeasin, Ranjit Kumar Paul and Amrit Kumar Paul    
Denoising is an integral part of the data pre-processing pipeline that often works in conjunction with model development for enhancing the quality of data, improving model accuracy, preventing overfitting, and contributing to the overall robustness of pr... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
Sofía Ramos-Pulido, Neil Hernández-Gress and Gabriela Torres-Delgado    
Current research on the career satisfaction of graduates limits educational institutions in devising methods to attain high career satisfaction. Thus, this study aims to use data science models to understand and predict career satisfaction based on infor... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Che-Hao Chang, Jason Lin, Jia-Wei Chang, Yu-Shun Huang, Ming-Hsin Lai and Yen-Jen Chang    
Recently, data-driven approaches have become the dominant solution for prediction problems in agricultural industries. Several deep learning models have been applied to crop yield prediction in smart farming. In this paper, we proposed an efficient hybri... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Junling Zhang, Min Mei, Jun Wang, Guangpeng Shang, Xuefeng Hu, Jing Yan and Qian Fang    
The deformation of tunnel support structures during tunnel construction is influenced by geological factors, geometrical factors, support factors, and construction factors. Accurate prediction of tunnel support structure deformation is crucial for engine... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Júlio Lobão    
The literature on individuals? ability to predict their own level of risk tolerance is scarce and presents divergent results. Utilizing both differential prediction models and logit models on a sample of 391 individuals in Portugal, this study demonstrat... ver más
Revista: Administrative Sciences    Formato: Electrónico

 
en línea
Kevin Mero, Nelson Salgado, Jaime Meza, Janeth Pacheco-Delgado and Sebastián Ventura    
Unemployment, a significant economic and social challenge, triggers repercussions that affect individual workers and companies, generating a national economic impact. Forecasting the unemployment rate becomes essential for policymakers, allowing them to ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Etienne Saloux    
This paper summarizes the results of a Special Issue focusing on the practical applications of model predictive control and other advanced control methods in the built environment. This Special Issue contains eleven publications and deals with various to... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Anuwat Boonprasope and Korrakot Yaibuathet Tippayawong    
Following the COVID-19 pandemic, the healthcare sector has emerged as a resilient and profitable domain amidst market fluctuations. Consequently, investing in healthcare securities, particularly through mutual funds, has gained traction. Existing researc... ver más
Revista: International Journal of Financial Studies    Formato: Electrónico

 
en línea
Eunju Hwang    
Daily data on COVID-19 infections and deaths tend to possess weekly oscillations. The purpose of this work is to forecast COVID-19 data with partially cyclical fluctuations. A partially periodic oscillating ARIMA model is suggested to enhance the predict... ver más
Revista: Forecasting    Formato: Electrónico

« Anterior     Página: 1 de 56     Siguiente »