452   Artículos

 
en línea
Iman I. M. Abu Sulayman, Peter Voege and Abdelkader Ouda    
The increasing significance of data analytics in modern information analysis is underpinned by vast amounts of user data. However, it is only feasible to amass sufficient data for various tasks in specific data-gathering contexts that either have limited... ver más
Revista: Information    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
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
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
Mohamed Shenify, Fokrul Alom Mazarbhuiya and A. S. Wungreiphi    
There are many applications of anomaly detection in the Internet of Things domain. IoT technology consists of a large number of interconnecting digital devices not only generating huge data continuously but also making real-time computations. Since IoT d... ver más
Revista: Applied Sciences    Formato: Electrónico

 
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
Lisa Pierotti, Cristiano Fidani, Gianluca Facca and Fabrizio Gherardi    
Variations in the CO2 dissolved in water springs have long been observed near the epicenters of moderate and strong earthquakes. In a recent work focused on data collected during the 2017?2021 period from a monitoring site in the Northern Apennines, Ital... ver más
Revista: Water    Formato: Electrónico

 
en línea
Shunli Zheng, Jinshou Wang, Haiwei Jiao, Rongke Xu, Yueming Yin, Changtan Fang and Xin Chen    
The Qinghai?Tibet Plateau, abundant in mineral resources, is a treasure trove for geological explorers. However, exploration has been hindered by the presence of dense vegetation, weathering layers, and desert cover, particularly in the North Qaidam regi... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Aristeidis Karras, Anastasios Giannaros, Christos Karras, Leonidas Theodorakopoulos, Constantinos S. Mammassis, George A. Krimpas and Spyros Sioutas    
In the context of the Internet of Things (IoT), Tiny Machine Learning (TinyML) and Big Data, enhanced by Edge Artificial Intelligence, are essential for effectively managing the extensive data produced by numerous connected devices. Our study introduces ... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Kevin S. Sambieni, Fabien C. C. Hountondji, Luc O. Sintondji, Nicola Fohrer, Séverin Biaou and Coffi Leonce Geoffroy Sossa    
Climate and land cover changes are key factors in river basins? management. This study investigates on the one hand 60-year (1960 to 2019) rainfall and temperature variability using station data combined with gridded data, and on the other hand land cove... ver más
Revista: Hydrology    Formato: Electrónico

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