57   Artículos

 
en línea
Guy Austern, Tanya Bloch and Yael Abulafia    
The application of machine learning (ML) for the automatic classification of building elements is a powerful technique for ensuring information integrity in building information models (BIMs). Previous work has demonstrated the favorable performance of s... ver más
Revista: Buildings    Formato: Electrónico

 
en línea
Khaled Arbateni and Amir Benzaoui    
Electrocardiography (ECG) is a simple and safe tool for detecting heart conditions. Despite the diaspora of existing heartbeat classifiers, improvements such as real-time heartbeat identification and patient-independent classification persist. Reservoir ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yuting Chen, Pengjun Zhao, Yi Lin, Yushi Sun, Rui Chen, Ling Yu and Yu Liu    
Precise identification of spatial unit functional features in the city is a pre-condition for urban planning and policy-making. However, inferring unknown attributes of urban spatial units from data mining of spatial interaction remains a challenge in ge... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Jianhe Li and Suohai Fan    
In recent years, graph neural networks (GNNs) have played an important role in graph representation learning and have successfully achieved excellent results in semi-supervised classification. However, these GNNs often neglect the global smoothing of the... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Fan Huang , Nan Yang, Huaming Chen , Wei Bao and Dong Yuan    
With the widespread use of end devices, online multi-label learning has become popular as the data generated by users using the Internet of Things devices have become huge and rapidly updated. However, in many scenarios, the user data are often generated... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yifei Wang, Yongwei Wang, Hao Hu, Shengnan Zhou and Qinwu Wang    
In order to solve the current problems in domain long text classification tasks, namely, the long length of a document, which makes it difficult for the model to capture key information, and the lack of expert domain knowledge, which leads to insufficien... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zhiqiong Wang, Zican Lin, Shuo Li, Yibo Wang, Weiying Zhong, Xinlei Wang and Junchang Xin    
Alzheimer?s disease (AD) is a progressive, irreversible neurodegenerative disorder that requires early diagnosis for timely treatment. Functional magnetic resonance imaging (fMRI) is a non-invasive neuroimaging technique for detecting brain activity. To ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zhuojun Zou and Yiwen Tang    
The development of the HSR station area is the result of the combined effect of the three elements of transport, place, and industry. This study introduces the industrial dimension and constructs the node-place-industry model to empirically analyze the d... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Artyom V. Gorchakov, Liliya A. Demidova and Peter N. Sovietov    
In this paper we consider the research and development of classifiers that are trained to predict the task solved by source code. Possible applications of such task detection algorithms include method name prediction, hardware?software partitioning, prog... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Shadi Atalla, Saed Tarapiah, Amjad Gawanmeh, Mohammad Daradkeh, Husameldin Mukhtar, Yassine Himeur, Wathiq Mansoor, Kamarul Faizal Bin Hashim and Motaz Daadoo    
The Internet of Things (IoT) has the potential to revolutionize agriculture by providing real-time data on crop and livestock conditions. This study aims to evaluate the performance scalability of wireless sensor networks (WSNs) in agriculture, specifica... ver más
Revista: Information    Formato: Electrónico

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