1.140   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
M.H.J.P. Gunarathna, Kazuhito Sakai, Tamotsu Nakandakari, Kazuro Momii and M.K.N. Kumari    
Poor data availability on soil hydraulic properties in tropical regions hampers many studies, including crop and environmental modeling. The high cost and effort of measurement and the increasing demand for such data have driven researchers to search for... ver más
Revista: Water    Formato: Electrónico

 
en línea
Changchang Li, Botao Xu, Zhiwei Chen, Xiaoou Huang, Jing (Selena) He and Xia Xie    
University students, as a special group, face multiple psychological pressures and challenges, making them susceptible to social anxiety disorder. However, there are currently no articles using machine learning algorithms to identify predictors of social... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jean-Sébastien Dessureault, Félix Clément, Seydou Ba, François Meunier and Daniel Massicotte    
The field of interior home design has witnessed a growing utilization of machine learning. However, the subjective nature of aesthetics poses a significant challenge due to its variability among individuals and cultures. This paper proposes an applied ma... ver más
Revista: Information    Formato: Electrónico

 
en línea
Enrique González-Núñez, Luis A. Trejo and Michael Kampouridis    
This research aims at applying the Artificial Organic Network (AON), a nature-inspired, supervised, metaheuristic machine learning framework, to develop a new algorithm based on this machine learning class. The focus of the new algorithm is to model and ... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Mohamed A. Damos, Jun Zhu, Weilian Li, Elhadi Khalifa, Abubakr Hassan, Rashad Elhabob, Alaa Hm and Esra Ei    
Social media platforms play a vital role in determining valuable tourist objectives, which greatly aids in optimizing tourist path planning. As data classification and analysis methods have advanced, machine learning (ML) algorithms such as the k-means a... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Dilip Kumar Roy, Mohamed Anower Hossain, Mohamed Panjarul Haque, Abed Alataway, Ahmed Z. Dewidar and Mohamed A. Mattar    
This study addresses the crucial role of temperature forecasting, particularly in agricultural contexts, where daily maximum (???????? T m a x ) and minimum (???????? T m i n ) temperatures significantly impact crop growth and irrigation planning. While ... ver más
Revista: Agriculture    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
Omar Abdulkhaleq Aldabash and Mehmet Fatih Akay    
An IDS (Intrusion Detection System) is essential for network security experts, as it allows one to identify and respond to abnormal traffic present in a network. An IDS can be utilized for evaluating the various types of malicious attacks. Hence, detecti... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mirko Dinulovic, Aleksandar Benign and Bo?ko Ra?uo    
In the present work, the potential application of machine learning techniques in the flutter prediction of composite materials missile fins is investigated. The flutter velocity data set required for different fin aerodynamic geometries and materials is ... ver más
Revista: Aerospace    Formato: Electrónico

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