Results 31 to 40 of about 19,696,345 (257)
On the Suitability of MODIS Time Series Metrics to Map Vegetation Types in Dry Savanna Ecosystems: A Case Study in the Kalahari of NE Namibia [PDF]
, 2009 The characterization and evaluation of the recent status of biodiversity in Southern Africa’s Savannas is a major prerequisite for suitable and sustainable land management and conservation purposes.
Martin Herold +19 more
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Deep Temporal Convolution Network for Time Series Classification
Sensors, 2021 A neural network that matches with a complex data function is likely to boost the classification performance as it is able to learn the useful aspect of the highly varying data.
Bee Hock David Koh +4 more
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Comparing Posturographic Time Series Through Events Detection [PDF]
, 2008 The comparison of two time series and the extraction of subsequences that are common to the two is a complex data mining problem. Many existing techniques, like the Discrete Fourier Transform (DFT), offer solutions for comparing two whole time series ...
Caraça-Valente Hernández, Juan Pedro +9 more
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LA-ESN: A Novel Method for Time Series Classification
Information, 2023 Time-series data is an appealing study topic in data mining and has a broad range of applications. Many approaches have been employed to handle time series classification (TSC) challenges with promising results, among which deep neural network methods ...
Hui Sheng +5 more
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Skewed Time Series Classification Algorithm Based on Persistent Homology [PDF]
Jisuanji gongchengTo address the limitations of traditional time series classification algorithms to extract high-dimensional topological information and temporal sequence information, this paper proposes a skewed time series classification algorithm based on persistent ...
YAN Yinkai, PENG Ningning, YI Lisha
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Using derivatives in time series classification [PDF]
Data Mining and Knowledge Discovery, 2012 Over recent years the popularity of time series has soared. Given the widespread use of modern information technology, a large number of time series may be collected during business, medical or biological operations, for example. As a consequence there has been a dramatic increase in the amount of interest in querying and mining such data, which in ...
Tomasz Górecki, Maciej Luczak
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Time Series Classification of Electroencephalography Data [PDF]
, 2023 Electroencephalography (EEG) is a non-invasive technique used to record the electrical activity of the brain using electrodes placed on the scalp. EEG data is commonly used for classification problems. However, many of the current classification techniques are dataset specific and cannot be applied to EEG data problems as a whole. We propose the use of
Aiden Rushbrooke +3 more
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IEEE AccessIn this paper, we address the problem of improving time-series classification performance in graph environments. With the recent increase in graph analytics, many studies analyzing time-series within the graph domain have been introduced.
Sanghun Lee +2 more
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W-TSS: A Wavelet-Based Algorithm for Discovering Time Series Shapelets
Sensors, 2021 Many approaches to time series classification rely on machine learning methods. However, there is growing interest in going beyond black box prediction models to understand discriminatory features of the time series and their associations with outcomes ...
Kenan Li +9 more
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Comparative analysis of machine learning classification оf time series with fractal properties [PDF]
, 2019 The article analyses the classification of time series according to their fractal properties by machine learning. The classification was carried out using neural networks and the random forest method. Objects were the model fractal time series with given
Kirichenko, L. +2 more
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