Results 31 to 40 of about 40,844,823 (304)
A dataset for fault detection and diagnosis of an air handling unit from a real industrial facility
Data in Brief, 2023 This dataset was collected for the purpose of applying fault detection and diagnosis (FDD) techniques to real data from an industrial facility. The data for an air handling unit (AHU) is extracted from a building management system (BMS) and aligned with ...
Michael Ahern +2 more
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“TIME SERIES WORKSHOP” OBSERVATIONS DATA PROCESSING TOOL
Odessa Astronomical Publications, 2017 The new tool for mathematical and visual processing of time series is reresented. The program ”Time Series WorkShop” (TSW) is specialized for processing visual observations of variable stars.
L. L Shapovalova
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THE ALGORITHM OF PIECEWISE CONSTANT TELEMETRIC PARAMETERS SEGMENTATION [PDF]
Vestnik KRAUNC: Fiziko-Matematičeskie Nauki, 2010 This paper is devoted to the modification of optimal segmentation algorithm and using it to telemetric signals ...
Vitol A.D., Zhukova N.A., Tristanov A.B.
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, 2023 reservedTime series forecasting plays a pivotal role in various domains, such as finance, healthcare, and supply chain management. Traditional forecasting methods often assume that all time series follow a similar pattern, which may not hold true in real-
SARTORI, FRANCESCO
core
Time series clustering in large data sets
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2011 The clustering of time series is a widely researched area. There are many methods for dealing with this task. We are actually using the Self-organizing map (SOM) with the unsupervised learning algorithm for clustering of time series.
Jiří Fejfar, Jiří Šťastný
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Kolmogorov space in time series data [PDF]
Mathematical Methods in the Applied Sciences, 2016 We provide the proof that the space of time series data is a Kolmogorov space with T 0 ‐separation axiom using the loop space of time series data. In our approach, we define a cyclic coordinate of intrinsic time scale of time series data after empirical mode decomposition.
Kanjamapornkul, Kabin, Pinčák, Richard
openaire +3 more sources
Time-Series Data Mining:A Review [PDF]
, 2015 Data mining refers to the extraction of knowledge by analyzing the data from different perspectives and accumulates them to form useful information which could help the decision makers to take appropriate decisions. Classification and clustering has been
Patet, Jignasa N.; Department of Information Technology Shri SÊad Vidya Mandal Institute of Technology Bharuch 392-001, Gujarat, India +1 more
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Feature identification in time series data sets
Heliyon, 2019 We present a computationally inexpensive, flexible feature identification method which uses a comparison of time series to identify a rank-ordered set of features in geophysically-sourced data sets.
Justin Shaw +4 more
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Sortability of Time Series Data
Trans. Mach. Learn. Res.Published in Transactions on Machine Learning Research, also presented at the Causal Inference for Time Series Data Workshop at the 40th Conference on Uncertainty in Artificial Intelligence (CI4TS 2024)
Christopher Lohse, Jonas Wahl
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Loneliness is associated with adverse physical and mental health outcomes and remains understudied in children and adolescents undergoing cancer therapy. Pediatric oncology patients may be at increased risk due to medical isolation and disruption of social networks.
Charlotte N. Stahlfeld +5 more
wiley +1 more source