Zobrazeno 1 - 10
of 279
pro vyhledávání: '"short time series"'
Publikováno v:
European Journal of Remote Sensing, Vol 57, Iss 1 (2024)
The current study assesses the performance of several machine learning (ML) and deep learning (DL) models for detecting and mapping floods using Sentinel-1 SAR imagery. Three distinct approaches were used: pixel classification, object-based image ana
Externí odkaz:
https://doaj.org/article/0af8f49c28bb44789498fcf00277d7a5
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 4, Pp 1407-1432 (2023)
Analysis of data is crucial in waste management to improve effective planning from both short- and long-term perspectives. Real-world data often presents anomalies, but in the waste management sector, anomaly detection is seldom performed. The main g
Externí odkaz:
https://doaj.org/article/b4e5f9cc114a45648e385f2c2a8c10fd
Autor:
Juan L. López, José A. Vásquez-Coronel
Publikováno v:
Fractal and Fractional, Vol 8, Iss 8, p 460 (2024)
Time series data are a crucial information source for various natural and societal processes. Short time series can exhibit long-range correlations that reveal significant features not easily discernible in longer ones. Such short time series find ut
Externí odkaz:
https://doaj.org/article/e852472be96c4315a4fc7c6cf224dc49
Autor:
BI Wanjun, WEI Zichun, ZHENG Yucheng, DENG Huili, NI Zixin, LIN Hongzheng, HAO Zhilong, SUN Yun
Publikováno v:
Shipin Kexue, Vol 44, Iss 8, Pp 201-211 (2023)
Automatic thermal desorption-gas chromatography-mass spectrometry (ATD-GC-MS) was used to capture and detect environmental volatile components in Tieguanyin tea at the key stages of the fine manipulation process, and short time series expression mine
Externí odkaz:
https://doaj.org/article/3ce6bc5e098547a78a9932797ea12051
Publikováno v:
Journal of Inflammation Research, Vol Volume 16, Pp 1169-1181 (2023)
Yuxin Zhang,1– 3,* Zhigang Wu,1,* Shenji Lu,2 Minghui Lin,1 Xiaokun Yue,4 Zengguang Wang,4 Bin Cai1,2 1Department of Rehabilitation Medicine, Hainan Western Central Hospital, Danzhou, Hainan, People’s Republic of China; 2Department of Reh
Externí odkaz:
https://doaj.org/article/858e455653934135a30c23503a827c70
Publikováno v:
Physiological Reports, Vol 11, Iss 22, Pp n/a-n/a (2023)
Abstract Ultra short‐term (UST) heart rate variability (HRV) has been used to establish normative HRV values. This study aims to investigate whether HRV metrics can capture changes in HRV from external stimuli, and whether these metrics remain effe
Externí odkaz:
https://doaj.org/article/6941b41cf04042439747726ec88ce325
Autor:
Bojare, Kristina
Publikováno v:
Managing Risk and Decision Making in Times of Economic Distress, Part B
Autor:
Bartłomiej Gaweł, Andrzej Paliński
Publikováno v:
Energies, Vol 17, Iss 2, p 347 (2024)
This study presents a novel approach for predicting hierarchical short time series. In this article, our objective was to formulate long-term forecasts for household natural gas consumption by considering the hierarchical structure of territorial uni
Externí odkaz:
https://doaj.org/article/9f9ac5bcca1d4ebba8e2c103526fe02e
Publikováno v:
Entropy, Vol 26, Iss 1, p 48 (2024)
The detection of instability inception is favorable to avoid compressor instability. In this paper, a multiscale entropy-based feature extraction is developed for the detection of the instability inception in axial compressors. Nonlinear and statisti
Externí odkaz:
https://doaj.org/article/07b8bac441234b72a3e486969e91ceb8
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