Zobrazeno 1 - 10
of 20 443
pro vyhledávání: '"Time-series classification"'
Recently, time series classification has attracted the attention of a large number of researchers, and hundreds of methods have been proposed. However, these methods often ignore the spatial correlations among dimensions and the local correlations am
Externí odkaz:
http://arxiv.org/abs/2411.18008
Time series classification is a relevant step supporting decision-making processes in various domains, and deep neural models have shown promising performance. Despite significant advancements in deep learning, the theoretical understanding of how an
Externí odkaz:
http://arxiv.org/abs/2411.14904
Multivariate time series classification is of great importance in practical applications and is a challenging task. However, deep neural network models such as Transformers exhibit high accuracy in multivariate time series classification but lack int
Externí odkaz:
http://arxiv.org/abs/2411.11620
Leveraging large language models (LLMs) has garnered increasing attention and introduced novel perspectives in time series classification. However, existing approaches often overlook the crucial dynamic temporal information inherent in time series da
Externí odkaz:
http://arxiv.org/abs/2410.18686
In recent years, Edge AI has become more prevalent with applications across various industries, from environmental monitoring to smart city management. Edge AI facilitates the processing of Internet of Things (IoT) data and provides privacy-enabled a
Externí odkaz:
http://arxiv.org/abs/2410.10285
While the majority of time series classification research has focused on modeling fixed-length sequences, variable-length time series classification (VTSC) remains critical in healthcare, where sequence length may vary among patients and events. To a
Externí odkaz:
http://arxiv.org/abs/2410.06412
Large language models (LLMs) have demonstrated their effectiveness in multivariate time series classification (MTSC). Effective adaptation of LLMs for MTSC necessitates informative data representations. Existing LLM-based methods directly encode embe
Externí odkaz:
http://arxiv.org/abs/2411.15737
In multivariate time series classification, although current sequence analysis models have excellent classification capabilities, they show significant shortcomings when dealing with long sequence multivariate data, such as prolonged training times a
Externí odkaz:
http://arxiv.org/abs/2410.20820
The Greenland Ice Sheet (GrIS) has emerged as a significant contributor to global sea level rise, primarily due to increased meltwater runoff. Supraglacial lakes, which form on the ice sheet surface during the summer months, can impact ice sheet dyna
Externí odkaz:
http://arxiv.org/abs/2410.05638
Autor:
Wang, Peng1 (AUTHOR), Wang, Ke1 (AUTHOR), Song, Yafei1 (AUTHOR), Wang, Xiaodan1 (AUTHOR) afeu_wang@163.com
Publikováno v:
Scientific Reports. 11/30/2024, Vol. 14 Issue 1, p1-13. 13p.
