https://scholars.ln.edu.hk/en/publications/hybrid-latent-variable-modeling-of-high-dimensional-time-series-d/
Hybrid Latent Variable Modeling of High Dimensional Time Series Data - Lingnan Scholars
time series datahybridlatentvariablemodeling
https://geodiscovery.uwm.edu/catalog/stanford-xy342dw0766
Time-Series Data on the Ocean and Great Lakes Economy for Counties, States, and the Nation, 2005...
time series dataon the oceangreat lakeseconomycounties
https://openhsu.ub.hsu-hh.de/entities/publication/e51da4c5-c471-48ac-85d8-de6765f2e3ea
Anomaly detection based on time series data from industrial automatic sewing machines
time series dataanomaly detectionindustrial automaticsewing machinesbased
https://documentation.mindsphere.io/MindSphere/resources/openedge-devicekit/howto/ts-upload.html
Open Edge Device Kit - Uploading Time Series Data - Developer Documentation - Insights Hub...
Insights Hub Documentation
time series dataopen edgedevice kitdeveloper documentationinsights hub
https://data.usbr.gov/catalog/4090/item/10367
Klamath Straits Drain At Hwy 161 Cyanide ug/L Time Series Data | Item 10367 | RISE | Bureau of...
Measurements of Cyanide collected at Klamath Straits Drain At Hwy 161. Currently collected twice a year, previously collected quarterly. Access further...
time series dataklamathstraitsdraincyanide
https://researchdata.edu.au/melbourne-institute-historical-household-savings/186606
Melbourne Institute Historical Time Series Data: Household Savings
Quarterly Data from March 2001 Made up of : -Patterns of Savings - Deposit with Bank. -Patterns of Savings - Managed Trust. -Patterns of Savings - Ownership...
time series datamelbourne institutehistoricalhouseholdsavings
https://www.wi.uni-muenster.de/research/publications/159413
Massively-Parallel Change Detection for Satellite Time Series Data with Missing Values | Department...
time series dataparallel changedetectionsatellitemissing
https://www.influxdata.com/blog/why-use-k-means-for-time-series-data-part-two/
Why Use K-Means for Time Series Data? (Part Two) | InfluxData
time series datapart twousekmeans
https://pubmed.ncbi.nlm.nih.gov/37678762/
Novel genetic parameters for genetic residual feed intake in dairy cattle using time series data...
Residual feed intake is viewed as an important trait in breeding programs that could be used to enhance genetic progress in feed efficiency. In particular,...
time series datadairy cattlenovelgeneticparameters
https://datacatalogue.cessda.eu/detail/c6f39c04c515e65ee417574525cfb2ceeff30d4db332b568b12db4bdaae50c77/?lang=en
Miller/Mackie Political Economy Time Series Data, July 1946 - December 1972 - CESSDA Data Catalogue
Abstract copyright UK Data Service and data collection copyright owner.To collect data in order to compare official and mass perception of economic...
time series datapolitical economymillermackiejuly
https://murray.cds.caltech.edu/Linear_System_Identifiability_from_Distributional_and_Time_Series_Data
Linear System Identifiability from Distributional and Time Series Data - Murray Wiki
time series datalinear systemmurraywiki
https://docs.bmc.com/xwiki/bin/view/Helix-Common-Services/Dashboards-Reports/BMC-Helix-Dashboards/bhd224/Using-dashboards/Visualizing-data/Visualizing-predictive-time-series-data/
Visualizing predictive time series data - BMC Documentation
Visualizing predictive time series data
time series datavisualizingpredictivebmcdocumentation
https://researchcommons.waikato.ac.nz/entities/publication/8988fe0b-158e-4ab0-90ff-2f0c3791cb4f
Testing for bubbles in time series data using long historical series
The concept of asset price bubble has drawn a large amount of academic attention. A bubble is commonly defined as where the asset price is not justified by...
time series datatestingbubblesusinglong
https://docsfortec.com/sap/S4/tables/_SCA_TSNADRPV
/SCA/TSNADRPV - Notes for Time Series Data Area DRPV | SAP Table
SAP table /SCA/TSNADRPV contains information about the "Notes for Time Series Data Area DRPV". It is part of development package /SCA/TSDM_SNC in software...
time series datascanotesareasap
https://openreview.net/forum?id=eniNFE8CDM&referrer=%5Bthe%20profile%20of%20Hyun%20Ryu%5D(%2Fprofile%3Fid%3D~Hyun_Ryu1)
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation |...
Data augmentation is a crucial component in training neural networks to overcome the limitation imposed by data size, and several techniques have been studied...
time series datasimplestrategypreservespectral
https://openbiomedicalengineeringjournal.com/VOLUME/17/ELOCATOR/e187412072304100/FULLTEXT/?doi=10.1126/sciadv.adg2248
Entropy Measures with Three-axis Motion Time-series Data: Comparison of Dominant and Non-dominant...
Entropy Measures with Three-axis Motion Time-series Data: Comparison of Dominant and Non-dominant Hand in Multi-directional Reach
time series dataentropymeasuresthreeaxis
https://docs.c3.ai/docs/platform/8.9/topic/object-model-reference-time-series-treatments
Time Series Data Treatments | C3 AI Documentation
Learn how to apply different time series treatments in your object model.
time series dataai documentationtreatments
https://ijaas.iaescore.com/index.php/IJAAS/article/view/18134/12805
Statistical analysis of night radiance RH using VIIRS day/night band satellite time series data |...
Statistical analysis of night radiance RH using VIIRS day/night band satellite time series data
time series datastatistical analysisnightradiancerh
https://cratedb.com/data-model/time-series/ingestion
Ingesting Time Series Data
Learn how CrateDB efficiently handles large datasets through batch imports and real-time streaming ingestion, empowering real-time insights and decision-making...
time series data
https://cmgds.marine.usgs.gov/catalog/pcmsc/DataReleases/ScienceBase/DR_F7HM56MX/CHC16_channel_metadata.faq.html
May 2016 deployment (CHC16): Water pressure/depth, velocity, and turbidity time-series data from...
time series datawater pressuremaydeploymentdepth
https://www.zew.de/en/research-at-zew/projects/time-series-data-on-the-innovator-share
Project: Time Series Data on the Innovator Share | ZEW
The aim of this study is to compile data on the share of firms with innovations in all firms ('Innovator share') for different countries and sectors over a...
time series dataon theprojectinnovatorshare
https://gcoos5.geos.tamu.edu/erddap/tabledap/Amos_Runner_-2840-8900-101017-101229-42875-00-02.html?platform,latitude,longitude,instrument,crs,time,profile_id&distinct()
ERDDAP - Noble Amos Runner Current Profile Time Series - Data Access Form
time series dataaccess formnobleamosrunner
https://www.marine.gov.scot/?q=data/loch-ewe-time-series-data-noaa-copepod
Loch Ewe Time Series Data on NOAA COPEPOD | marine.gov.scot
time series datalochewenoaacopepod
https://mural.maynoothuniversity.ie/id/eprint/1776/
Multi-frequency scale Gaussian regression for noisy time-series data. - MURAL - Maynooth University...
time series datamaynooth universitymultifrequencyscale
https://www.stata.com/statalist/archive/2013-08/msg00956.html
RE: st: GMM Newey-West HAC on quarterly time series data
time series datastgmmneweyhac
https://catalog.data.gov/dataset/swift-dam-and-reservoir-daily-streamflow-cfs-time-series-data
Department of the Interior - Swift Dam and Reservoir Daily Streamflow-cfs Time Series Data
Daily Mean River Discharge (cfs)
time series datadepartment ofthe interiorswiftdam
https://www.metallurgical-research.org/articles/metal/abs/2024/02/metal20230218/metal20230218.html
Predicting blast furnace permeability index: a deep learning approach with limited time-series data...
time series datablast furnacedeep learningpermeabilityindex
https://proceedings.spp-online.org/article/view/SPP-2023-3D-04
Markov chain analysis of southwest monsoon rainfall time-series data from 1951 to 2021 in areas...
time series datamarkov chainanalysissouthwestmonsoon
https://www.technetexperts.com/variance-stabilization-negative-timeseries/
Variance Stabilization for Negative Time Series Data [Solved]
Feb 20, 2026 - Learn how to stabilize the variance (heteroscedasticity) in time series data containing negative values, focusing on advanced shift transformations and GARCH...
time series datavariancestabilizationnegativesolved
https://scads.ai/research/ai-algorithms-and-methods/mathematical-foundations-and-statistical-learning/projects/methods-for-transfer-learning-of-time-series-data/
Methods for Transfer-Learning of Time Series Data - ScaDS.AI
Nov 28, 2024 - We explore the relative importance of different transfer-learning when parametrizing models for different situations.
time series datatransfer learningmethodsai
https://research-hub.nlr.gov/en/publications/wind-turbine-gearbox-failure-detection-through-cumulative-sum-of--2/
Wind Turbine Gearbox Failure Detection Through Cumulative Sum of Multivariate Time Series Data -...
time series datawind turbinefailure detectiongearboxcumulative
https://thescipub.com/abstract/ajassp.2010.1372.1378
Seasonal Time Series Data Forecasting by Using Neural Networks Multiscale Autoregressive Model |...
time series dataneural networksseasonalforecastingusing
https://www.elastic.co/blog/elasticsearch-as-a-time-series-data-store
Elasticsearch as a Time Series Data Store | Elastic Blog
Apr 1, 2019 - Ever wondered how Elasticsearch handles time series metrics? Felix Barnsteiner from stagemonitor - an open source solution to application performance...
time series dataelasticsearchstoreblog
https://in.mathworks.com/matlabcentral/answers/780517-how-to-decompose-time-series-data-into-trend-and-seasonality
How to Decompose Time Series Data into Trend and Seasonality? - MATLAB Answers - MATLAB Central
How to Decompose Time Series Data into Trend and... Learn more about time series, decompose, seasonality, remove trends
time series datahow todecomposetrendseasonality
https://avesis.yildiz.edu.tr/yayin/718dc862-ccd9-456b-a16a-a173151665f0/financial-distress-prediction-from-time-series-data-using-xgboost-bist100-of-borsa-istanbul
FINANCIAL DISTRESS PREDICTION FROM TIME SERIES DATA USING XGBOOST: BIST100 OF BORSA ISTANBUL |...
time series datafinancialdistresspredictionusing