191   Artículos

 
en línea
Xiaojiao Gu, Yang Tian, Chi Li, Yonghe Wei and Dashuai Li    
The fault diagnosis method proposed in this paper can be applied to the diagnosis of bearings in machine tool spindle systems.
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Torrey Wagner, Dennis Guhl and Brent Langhals    
Given the emergence of China as a political and economic power in the 21st century, there is increased interest in analyzing Chinese news articles to better understand developing trends in China. Because of the volume of the material, automating the cate... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Roman Rybka, Yury Davydov, Danila Vlasov, Alexey Serenko, Alexander Sboev and Vyacheslav Ilyin    
Developing a spiking neural network architecture that could prospectively be trained on energy-efficient neuromorphic hardware to solve various data analysis tasks requires satisfying the limitations of prospective analog or digital hardware, i.e., local... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Marco Leo, Pierluigi Carcagnì, Luca Signore, Francesco Corcione, Giulio Benincasa, Mikko O. Laukkanen and Cosimo Distante    
Colorectal cancer is one of the most lethal cancers because of late diagnosis and challenges in the selection of therapy options. The histopathological diagnosis of colon adenocarcinoma is hindered by poor reproducibility and a lack of standard examinati... ver más
Revista: AI    Formato: Electrónico

 
en línea
Antonello Pasini and Stefano Amendola    
Neural network models are often used to analyse non-linear systems; here, in cases of small datasets, we review our complementary approach to deep learning with the purpose of highlighting the importance and roles (linear, non-linear or threshold) of cer... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Abdul Rahaman Wahab Sait and Ali Mohammad Alorsan Bani Awad    
Coronary artery disease (CAD) is the most prevalent form of cardiovascular disease that may result in myocardial infarction. Annually, it leads to millions of fatalities and causes billions of dollars in global economic losses. Limited resources and comp... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mykhailo Lohachov, Ryoji Korei, Kazuo Oki, Koshi Yoshida, Issaku Azechi, Salem Ibrahim Salem and Nobuyuki Utsumi    
This article investigates approaches for broccoli harvest time prediction through the application of various machine learning models. This study?s experiment is conducted on a commercial farm in Ecuador, and it integrates in situ weather and broccoli gro... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Chunling Wang, Tianyi Hang, Changke Zhu and Qi Zhang    
The Czech Republic is one of the countries along the Belt and Road Initiative, and classifying land cover in the Czech Republic helps to understand the distribution of its forest resources, laying the foundation for forestry cooperation between China and... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Mostafa Hamdy Salem, Yujian Li, Zhaoying Liu and Ahmed M. AbdelTawab    
Deep learning has been used to improve intelligent transportation systems (ITS) by classifying ship targets in interior waterways. Researchers have created numerous classification methods, but they have low accuracy and misclassify other ship targets. As... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jin-A Lee and Keun-Chang Kwak    
Analyzing the condition and function of the heart is very important because cardiovascular diseases (CVDs) are responsible for high mortality rates worldwide and can lead to strokes and heart attacks; thus, early diagnosis and treatment are important. Ph... ver más
Revista: Applied Sciences    Formato: Electrónico

« Anterior     Página: 1 de 11     Siguiente »