988   Artículos

 
en línea
Chang Guo, Jianfeng Zhu and Xiaoming Wang    
In recent years, the rapid growth of vehicles has imposed a significant burden on urban road resources. To alleviate urban traffic congestion in intelligent transportation systems (ITS), real-time and accurate traffic flow prediction has emerged as an ef... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Vahid Safavi, Arash Mohammadi Vaniar, Najmeh Bazmohammadi, Juan C. Vasquez and Josep M. Guerrero    
Predicting the remaining useful life (RUL) of lithium-ion (Li-ion) batteries is crucial to preventing system failures and enhancing operational performance. Knowing the RUL of a battery enables one to perform preventative maintenance or replace the batte... ver más
Revista: Information    Formato: Electrónico

 
en línea
Zheng Zhao, Jialing Yuan and Luhao Chen    
Air Traffic Flow Management (ATFM) delay can quantitatively reflect the congestion caused by the imbalance between capacity and demand in an airspace network. Furthermore, it is an important parameter for the ex-post analysis of airspace congestion and t... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Zhongda Ren, Chuanjie Liu, Yafei Ou, Peng Zhang, Heshan Fan, Xiaolong Zhao, Heqin Cheng, Lizhi Teng, Ming Tang and Fengnian Zhou    
Effectively simulating the variation in suspended sediment concentration (SSC) in estuaries during typhoons is significant for the water quality and ecological conditions of estuarine shoal wetlands and their adjacent coastal waters. During typhoons, SSC... ver más
Revista: Water    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
Ive Botunac, Jurica Bosna and Maja Matetic    
Investment decision-makers increasingly rely on modern digital technologies to enhance their strategies in today?s rapidly changing and complex market environment. This paper examines the impact of incorporating Long Short-term Memory (LSTM) models into ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Zeyu Xu, Wenbin Yu, Chengjun Zhang and Yadang Chen    
In the era of noisy intermediate-scale quantum (NISQ) computing, the synergistic collaboration between quantum and classical computing models has emerged as a promising solution for tackling complex computational challenges. Long short-term memory (LSTM)... ver más
Revista: Information    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
Shifeng Chen, Jialin Wang and Ketai He    
The popularization of the internet and the widespread use of smartphones have led to a rapid growth in the number of social media users. While information technology has brought convenience to people, it has also given rise to cyberbullying, which has a ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Mondher Bouazizi, Chuheng Zheng, Siyuan Yang and Tomoaki Ohtsuki    
A growing focus among scientists has been on researching the techniques of automatic detection of dementia that can be applied to the speech samples of individuals with dementia. Leveraging the rapid advancements in Deep Learning (DL) and Natural Languag... ver más
Revista: Information    Formato: Electrónico

« Anterior     Página: 1 de 60     Siguiente »