3.989   Artículos

 
en línea
Ognjen Radovic,Srdan Marinkovic,Jelena Radojicic    
Credit scoring attracts special attention of financial institutions. In recent years, deep learning methods have been particularly interesting. In this paper, we compare the performance of ensemble deep learning methods based on decision trees with the b... ver más
Revista: Facta Universitatis. Series: Economics and Organization    Formato: Electrónico

 
en línea
Haoran Liu, Kehui Xu, Bin Li, Ya Han and Guandong Li    
Machine learning classifiers have been rarely used for the identification of seafloor sediment types in the rapidly changing dredge pits for coastal restoration. Our study uses multiple machine learning classifiers to identify the sediment types of the C... ver más
Revista: Water    Formato: Electrónico

 
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
Triyana Muliawati, Dewi Suhika     Pág. 40 - 46
The development of student character starts from education process in campus life and residence. The environment is less comfortable and effective in the learning process will affect student achievement. To overcome this, the Institute of Technology of S... ver más
Revista: Journal of Science and Applicative Technology    Formato: Electrónico

 
en línea
Xiaonan Si, Lei Wang, Wenchang Xu, Biao Wang and Wenbo Cheng    
Gout is one of the most painful diseases in the world. Accurate classification of gout is crucial for diagnosis and treatment which can potentially save lives. However, the current methods for classifying gout periods have demonstrated poor performance a... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Jie Wang, Jie Yang, Jiafan He and Dongliang Peng    
Semi-supervised learning has been proven to be effective in utilizing unlabeled samples to mitigate the problem of limited labeled data. Traditional semi-supervised learning methods generate pseudo-labels for unlabeled samples and train the classifier us... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Todd Kelmar, Maria Chierichetti and Fatemeh Davoudi Kakhki    
This study introduces an innovative approach for optimizing sensor placement in modal testing by applying machine learning with enhanced efficiency and precision.
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Weihan Huang, Ke Gao and Yu Feng    
Predicting earthquakes through reasonable methods can significantly reduce the damage caused by secondary disasters such as tsunamis. Recently, machine learning (ML) approaches have been employed to predict laboratory earthquakes using stick-slip dynamic... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Jun Yeong Kim, Chang Geun Song, Jung Lee, Jong-Hyun Kim, Jong Wan Lee and Sun-Jeong Kim    
In this paper, we propose a learning model for tracking the isolines of fluid based on the physical properties of particles in particle-based fluid simulations. Our method involves analyzing which weights, closely related to surface tracking among the va... ver más
Revista: Applied Sciences    Formato: Electrónico

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