1.044   Artículos

 
en línea
Saeed Samadianfard, Salar Jarhan, Ely Salwana, Amir Mosavi, Shahaboddin Shamshirband and Shatirah Akib    
Advancement in river flow prediction systems can greatly empower the operational river management to make better decisions, practices, and policies. Machine learning methods recently have shown promising results in building accurate models for river flow... ver más
Revista: Water    Formato: Electrónico

 
en línea
Louis Closson, Christophe Cérin, Didier Donsez and Jean-Luc Baudouin    
This paper aims to provide discernment toward establishing a general framework, dedicated to data analysis and forecasting in smart buildings. It constitutes an industrial return of experience from an industrialist specializing in IoT supported by the ac... ver más
Revista: Information    Formato: Electrónico

 
en línea
Dmitry Shved, Natalia Supolkina and Anna Yusupova    
The increasing complexity of the space flight program and the increase in the duration of missions require an improvement in psychological monitoring tools for astronauts in orbit. This article summarizes the experience of using quantitative content anal... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Junbing Liu, Maohui Zheng, Jinwei Gao, Xinshu Wang, Hu Zhang and Simin Jiang    
This article addresses the challenge of simulating rainstorm waterlogging in urban-scale areas where reliable drainage pipe network data are often lacking. Although methods have been developed to tackle this issue, there remains a gap in their effectiven... ver más
Revista: Water    Formato: Electrónico

 
en línea
Liang Liu, Tianbin Li and Chunchi Ma    
Three-dimensional (3D) models provide the most intuitive representation of geological conditions. Traditional modeling methods heavily depend on technicians? expertise and lack ease of updating. In this study, we introduce a deep learning-based method fo... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ryota Higashimoto, Soh Yoshida and Mitsuji Muneyasu    
This paper addresses the performance degradation of deep neural networks caused by learning with noisy labels. Recent research on this topic has exploited the memorization effect: networks fit data with clean labels during the early stages of learning an... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jiahao Chen, Jiaxin Li, Deqian Zheng, Qianru Zheng, Jiayi Zhang, Meimei Wu and Chaosai Liu    
The multi-field coupling of grain piles in grain silos is a focal point of research in the field of grain storage. The porosity of grain piles is a critical parameter that affects the heat and moisture transfer in grain piles. To investigate the distribu... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Eduardo Morales-Vargas, Hayde Peregrina-Barreto, Rita Q. Fuentes-Aguilar, Juan Pablo Padilla-Martinez, Wendy Argelia Garcia-Suastegui and Julio C. Ramirez-San-Juan    
Microvasculature analysis is an important task in the medical field due to its various applications. It has been used for the diagnosis and threat of diseases in fields such as ophthalmology, dermatology, and neurology by measuring relative blood flow or... ver más
Revista: Information    Formato: Electrónico

 
en línea
Georgios Karantaidis and Constantine Kotropoulos    
The detection of computer-generated (CG) multimedia content has become of utmost importance due to the advances in digital image processing and computer graphics. Realistic CG images could be used for fraudulent purposes due to the deceiving recognition ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Bowen Zhang, Ying Chen, Xingwei Chen, Lu Gao and Meibing Liu    
Under climate change, the frequency of drought-flood abrupt alternation (DFAA) events is increasing in Southeast China. However, there is limited research on the evolution characteristics of DFAA in this region. This study evaluated the effectiveness of ... ver más
Revista: Water    Formato: Electrónico

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