61   Artículos

 
en línea
Ruiqing Chen, Liang Sun, Zhongxin Chen, Deji Wuyun and Zheng Sun    
The prompt and precise identification of corn and soybeans are essential for making informed decisions in agricultural production and ensuring food security. Nonetheless, conventional crop identification practices often occur after the completion of crop... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Haohan Shi, Xiyu Shi and Safak Dogan    
Audio inpainting plays an important role in addressing incomplete, damaged, or missing audio signals, contributing to improved quality of service and overall user experience in multimedia communications over the Internet and mobile networks. This paper p... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Michiel van der Vlag, Lionel Kusch, Alain Destexhe, Viktor Jirsa, Sandra Diaz-Pier and Jennifer S. Goldman    
Global neural dynamics emerge from multi-scale brain structures, with nodes dynamically communicating to form transient ensembles that may represent neural information. Neural activity can be measured empirically at scales spanning proteins and subcellul... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Zheren Liu, Chaogui Kang and Xiaoyue Xing    
Similar time series search is one of the most important time series mining tasks in our daily life. As recent advances in sensor technologies accumulate abundant multi-dimensional time series data associated with multivariate quantities, it becomes a pri... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Zhenwen He, Chi Zhang and Yunhui Cheng    
Time series data typically exhibit high dimensionality and complexity, necessitating the use of specific approximation methods to perform computations on the data. The currently employed compression methods suffer from varying degrees of feature loss, le... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
José Manuel Oliveira and Patrícia Ramos    
Global models have been developed to tackle the challenge of forecasting sets of series that are related or share similarities, but they have not been developed for heterogeneous datasets. Various methods of partitioning by relatedness have been introduc... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Baoyun Zhang, Junzhi Wang, Ruolin Zhang, Yasong Li, Xiangke Kong and Yaci Liu    
Aquifer diffusivity is a basic physical parameter used in hydrogeological calculations and is important for the evaluation and rational utilization of water resources, pollution prevention, and wetland protection. In this study, with the assumptions of a... ver más
Revista: Water    Formato: Electrónico

 
en línea
Guanyao Li, Xingdong Deng, Jianmin Xu, Yang Liu, Ji Zhang, Simin Xiong and Feng Gao    
With the rapid development of localization techniques and the prevalence of mobile devices, massive amounts of trajectory data have been generated, playing essential roles in areas of user analytics, smart transportation, and public safety. Measuring tra... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Mingxian Wang, Hongyan Wang, Langfu Cui, Gang Xiang, Xiaoxuan Han, Qingzhen Zhang and Juan Chen    
The aero-engine is the heart of an aircraft; its performance deteriorates rapidly due to the high temperature and high-pressure environment during flights. It is necessary to predict the remaining useful life (RUL) to improve the reliability of aero-engi... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Abdul Razaque, Marzhan Abenova, Munif Alotaibi, Bandar Alotaibi, Hamoud Alshammari, Salim Hariri and Aziz Alotaibi    
Time series data are significant, and are derived from temporal data, which involve real numbers representing values collected regularly over time. Time series have a great impact on many types of data. However, time series have anomalies. We introduce a... ver más
Revista: Applied Sciences    Formato: Electrónico

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