414   Artículos

 
en línea
MohammadHossein Reshadi, Wen Li, Wenjie Xu, Precious Omashor, Albert Dinh, Scott Dick, Yuntong She and Michael Lipsett    
Anomaly detection in data streams (and particularly time series) is today a vitally important task. Machine learning algorithms are a common design for achieving this goal. In particular, deep learning has, in the last decade, proven to be substantially ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Kyle DeMedeiros, Chan Young Koh and Abdeltawab Hendawi    
The Chicago Array of Things (AoT) is a robust dataset taken from over 100 nodes over four years. Each node contains over a dozen sensors. The array contains a series of Internet of Things (IoT) devices with multiple heterogeneous sensors connected to a p... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Min Hu, Fan Zhang and Huiming Wu    
Various abnormal scenarios might occur during the shield tunneling process, which have an impact on construction efficiency and safety. Existing research on shield tunneling construction anomaly detection typically designs models based on the characteris... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Marcelo Fabian Guato Burgos, Jorge Morato and Fernanda Paulina Vizcaino Imacaña    
This review can be used as a guiding reference to how studies of distinct types of smart grid abnormalities are approached.
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zitong Wang, Enrang Zheng, Jianguo Liu and Tuo Guo    
Traditional methods of orthogonal basis function decomposition have been extensively used to detect magnetic anomaly signals. However, the determination of the relative velocity between the detection platform and the magnetic target remains elusive in pr... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Ji-Woon Lee and Hyun-Soo Kang    
The escalating use of security cameras has resulted in a surge in images requiring analysis, a task hindered by the inefficiency and error-prone nature of manual monitoring. In response, this study delves into the domain of anomaly detection in CCTV secu... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Alexios Lekidis, Angelos Georgakis, Christos Dalamagkas and Elpiniki I. Papageorgiou    
The scheduled maintenance of industrial equipment is usually performed with a low frequency, as it usually leads to unpredicted downtime in business operations. Nevertheless, this confers a risk of failure in individual modules of the equipment, which ma... ver más
Revista: Forecasting    Formato: Electrónico

 
en línea
George Papageorgiou, Vangelis Sarlis and Christos Tjortjis    
This study utilized advanced data mining and machine learning to examine player injuries in the National Basketball Association (NBA) from 2000?01 to 2022?23. By analyzing a dataset of 2296 players, including sociodemographics, injury records, and financ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Juan Luis Pérez-Ruiz, Yu Tang, Igor Loboda and Luis Angel Miró-Zárate    
In the field of aircraft engine diagnostics, many advanced algorithms have been proposed over the last few years. However, there is still wide room for improvement, especially in the development of more integrated and complete engine health management sy... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Urszula Libal and Pawel Biernacki    
An automatic honey bee classification system based on audio signals for tracking the frequency of workers and drones entering and leaving a hive.
Revista: Applied Sciences    Formato: Electrónico

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