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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Data-driven nonstationary" (30 stories)

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Data-driven nonstationary signal decomposition approaches: a comparative analysis
Lead StoryNaturegeneral
Jan 31, 2023

Data-driven nonstationary signal decomposition approaches: a comparative analysis

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1kSnN2ZVluNllHQW5rdzlZV3ZJc3lHaVJ6dkhYTEk0Zl85aUVXUlBuNFRIXzNTM2NjWmRfLWgwZFRXSGx5YUFqMzZZSE9fWVZqYzhpOHdpTHZhbmprOERF?oc=5" target="_blank">Data-driven nonstationary signal decomposition approaches: a comparative analysis</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Data-driven nonstationary"

Updated every 3 minutes via FreeNewsApi, GNews, Currents API & Google News

29 stories displayed
Toward a hybrid machine Learning–physics framework for cohesive soil erosion in climate-resilient civil infrastructure
Frontiersscience

Toward a hybrid machine Learning–physics framework for cohesive soil erosion in climate-resilient civil infrastructure

<a href="https://news.google.com/rss/articles/CBMimwFBVV95cUxQdGxZd0pobVlvUXdya0J2WE54WTJuUlh1YlJKYzJQSndSMmNwQS00dzBDNnJCamo5ZzJhSklocG14NnZhMzNUZTZTZVBoRFptYkhuS1lyRkNNcFVRbVJOenZDOVRHQXVRVnRURXhFMEI3Z2RNY1NSWHg1QmlDX2RidzJEZ3plTTVvYVRpZkdOYVhVems1aXhqZ2xxOA?oc=5" target="_blank">Toward a hybrid machine Learning–physics framework for cohesive soil erosion in climate-resilient civil infrastructure</a>  <font color="#6f6f6f">Frontiers</font>

A synergistic framework integrating CPO-VMD with BiLSTM-TimesNet for accurate prediction of nonlinear and nonstationary runoff time series
Natureworld

A synergistic framework integrating CPO-VMD with BiLSTM-TimesNet for accurate prediction of nonlinear and nonstationary runoff time series

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1DODhKRjlESGFYZjZyZDBYejdaMnZDbnljMnZUVTBIdE5RcWM0V1RVVzNoVmdSMlFfVzY0ZFI5cU5JckFLS3dXTWdabzhSWU9OU2R6YTRHMTRRdERXZlNv?oc=5" target="_blank">A synergistic framework integrating CPO-VMD with BiLSTM-TimesNet for accurate prediction of nonlinear and nonstationary runoff time series</a>  <font color="#6f6f6f">Nature</font>

Novel sparse decomposition with adaptive evolutionary atoms for nonstationary signal extraction
Naturegeneral

Novel sparse decomposition with adaptive evolutionary atoms for nonstationary signal extraction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9QWmxSMC1peGxXQWRjVUZpb09jbWM5d3R4bGdvNm5xam1vQ0JraXFsbHgxdXc5WENOSnk5VERpZFNQWEhHd1lhMk45WV9raHlRQVl1RnRSczdQZnNlOThn?oc=5" target="_blank">Novel sparse decomposition with adaptive evolutionary atoms for nonstationary signal extraction</a>  <font color="#6f6f6f">Nature</font>

Nonstationary A/B Tests: Optimal Variance Reduction, Bias Correction, and Valid Inference
INFORMS PubsOnlinegeneral

Nonstationary A/B Tests: Optimal Variance Reduction, Bias Correction, and Valid Inference

<a href="https://news.google.com/rss/articles/CBMiakFVX3lxTE9ZM050clF5ZUNzQ2VNWjFGckl5Q1JLN0x6S1NDZDNJTWNmOHB3XzBaOElZUkRIRXFaRExCQUZuMnI2TlVvNjM4b2VXb0tJaEt4VDNPcUhpdjBMeE1YVEpHeHpSQkJNMnBJY2c?oc=5" target="_blank">Nonstationary A/B Tests: Optimal Variance Reduction, Bias Correction, and Valid Inference</a>  <font color="#6f6f6f">INFORMS PubsOnline</font>

A GENERAL LIMIT THEORY FOR NONLINEAR FUNCTIONALS OF NONSTATIONARY TIME SERIES
Cambridge University Press & Assessmentworld

A GENERAL LIMIT THEORY FOR NONLINEAR FUNCTIONALS OF NONSTATIONARY TIME SERIES

<a href="https://news.google.com/rss/articles/CBMihgJBVV95cUxQclZFS3JDejdkdkZHaGJ1NVgzMWNYZmFaV0RyNG55cUVUcTdtVURnMnF4NXdLSDgxWTNDTXRxbGU3bFBCSloyX0hRVU9LNkZmQk5udXVONkxsbEw0WHIyNThINXRJSmVLOHpBeHc3T3FUZ0xDQmNYQmtuclB0ZW5PRVdEY1RUQ3JuaVlnTG9sV1R3Y3dUa2lRNmpYWXU1V2ZHbUZxMHRTQVdEZTlCa3B5MmYxWUxDQlktYVU1c1hxSHlNdmhXQ0MwZkNGWk11c2pqYy1mQzF0Rmd1OXFKaXNIb0I2emNGN3RRWFMzM2tjNWZLWHhLRGNTWU8zeUdOZkI5TUlGTnBn?oc=5" target="_blank">A GENERAL LIMIT THEORY FOR NONLINEAR FUNCTIONALS OF NONSTATIONARY TIME SERIES</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

Spatially non-stationary wildfire risk formation driven by nonlinear ignition–driver interactions in a mountainous socio-ecological system
Naturetech

Spatially non-stationary wildfire risk formation driven by nonlinear ignition–driver interactions in a mountainous socio-ecological system

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA2YjAxb1pPX2pzaW9obnByc3A3cVBMb0t2a0RnUG52aTN4RDh4cks5bnVaTmNjVzNYeWJPOGFOaV9xek03QWFaam9FamtXb0xuOFJ2WWRLX2hFV2JYX0RN?oc=5" target="_blank">Spatially non-stationary wildfire risk formation driven by nonlinear ignition–driver interactions in a mountainous socio-ecological system</a>  <font color="#6f6f6f">Nature</font>

A cross-climate study of solar-loading thermography for heritage: workflow portability via adaptive decomposition, low-rank projection, and active benchmarking
Naturescience

A cross-climate study of solar-loading thermography for heritage: workflow portability via adaptive decomposition, low-rank projection, and active benchmarking

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB3bU5KSXZILUVESVNOYTV5SF9QU1h6eV9QTkkyTTZrQk9Uamc2OE50Z2tsbTR5ZVdCdnNLT3RtYmFvRWl2amZWSElMV3hrMlZvVVpEX0kxVXBVN1V2UTJF?oc=5" target="_blank">A cross-climate study of solar-loading thermography for heritage: workflow portability via adaptive decomposition, low-rank projection, and active benchmarking</a>  <font color="#6f6f6f">Nature</font>

Identifying the factors governing internal state switches during nonstationary sensory decision-making
Naturegeneral

Identifying the factors governing internal state switches during nonstationary sensory decision-making

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBpV1BmZGlfeTltSFVfajZqMWZTeElCNUpIYnJHZXM5bWg3QnEyVVlEVzdjUFBuSkxoUVUxTmVaLTI2MTllN2dsbElKcFl0eWZOTUpLVkZ4S2dNeklhVTlN?oc=5" target="_blank">Identifying the factors governing internal state switches during nonstationary sensory decision-making</a>  <font color="#6f6f6f">Nature</font>

Refining the time–frequency characteristic of non-stationary signal for improving time–frequency representation under variable speeds
Natureworld

Refining the time–frequency characteristic of non-stationary signal for improving time–frequency representation under variable speeds

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5FYncxaTB1QUNKYTZTMzRfR0ZtU1J5andyZVFEcjhWUkxjTkhobkNzbjU0dzNRZWdNdHFqUlN2eFNqVURVUGhEWk1URzN2dXZyYmhIZnlJQk1TLXEwZzRN?oc=5" target="_blank">Refining the time–frequency characteristic of non-stationary signal for improving time–frequency representation under variable speeds</a>  <font color="#6f6f6f">Nature</font>

Extrapolating tipping points and simulating non-stationary dynamics of complex systems using efficient machine learning
Naturegeneral

Extrapolating tipping points and simulating non-stationary dynamics of complex systems using efficient machine learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9uNzEtblM4VFlaclY5eFY2ZG1aZTVONWhpZ0hKTkRrei1BZW1uUmFqMWNqRUsxU3Zid2hOTWwxQTNUY284Wl9FX29FZHR5ZndBSUtHMy0zS0Y5ZEVsblVN?oc=5" target="_blank">Extrapolating tipping points and simulating non-stationary dynamics of complex systems using efficient machine learning</a>  <font color="#6f6f6f">Nature</font>

Grey Wolf optimization enhanced adaptive decomposition for trend periodic analysis of nonstationary and nonlinear hyrologic series
Naturegeneral

Grey Wolf optimization enhanced adaptive decomposition for trend periodic analysis of nonstationary and nonlinear hyrologic series

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE55eTNCRUYzZi1YTk1VNmk1LUlUZi1Ja3p3RVRzM0NrZWxFUUo1eU42a0NyWmFYVTRUMzlKcVpsLUdUQmdpWk5fTVVSUklyVnNZanBnY1lBR1VKa0Z4X19Z?oc=5" target="_blank">Grey Wolf optimization enhanced adaptive decomposition for trend periodic analysis of nonstationary and nonlinear hyrologic series</a>  <font color="#6f6f6f">Nature</font>

A Model Falsification Approach to Learning in Non-Stationary Environments for Experimental Design
Naturegeneral

A Model Falsification Approach to Learning in Non-Stationary Environments for Experimental Design

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1GaFV0N2RGMUlSaHItNzJxbFZkTHNkNDdON1JtY2wwYkI0X05xWEVwNi1TUHE4TEw2clBJbVcxdmtHMDFnSEZIVkNidEhwcEplUE5NcXVLSkFzWHhvaEVn?oc=5" target="_blank">A Model Falsification Approach to Learning in Non-Stationary Environments for Experimental Design</a>  <font color="#6f6f6f">Nature</font>

New insights and best practices for the successful use of Empirical Mode Decomposition, Iterative Filtering and derived algorithms
Naturegeneral

New insights and best practices for the successful use of Empirical Mode Decomposition, Iterative Filtering and derived algorithms

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1mTi13bjg5RmJ2bmd3VFduUmxtWURKODhYR0JjcUw0VGM1TXg1VVRPQmRnZU1YS2hIU1lZTjc1UW5iWmlJTXlUdjhFT25qT2pMdEltMFRQXzVpRWF4QTJz?oc=5" target="_blank">New insights and best practices for the successful use of Empirical Mode Decomposition, Iterative Filtering and derived algorithms</a>  <font color="#6f6f6f">Nature</font>

A novel hybrid model by integrating TCN with TVFEMD and permutation entropy for monthly non-stationary runoff prediction
Natureworld

A novel hybrid model by integrating TCN with TVFEMD and permutation entropy for monthly non-stationary runoff prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5fbDRkeUZxaTY3allIX0ZEVUt5Tnl2ZV9JV0pwX0Z6UENpWkVPd1dhdFV0SVpCaUFJQmlVN0tBQWZSNXg3SmxKMEEzeVQtRW55TmxMcFRkZHRTaUVxUV80?oc=5" target="_blank">A novel hybrid model by integrating TCN with TVFEMD and permutation entropy for monthly non-stationary runoff prediction</a>  <font color="#6f6f6f">Nature</font>

Detecting localized damage in cantilevered structures under nonstationary ambient excitations via Gabor spectral mode transmissibility functions
Natureworld

Detecting localized damage in cantilevered structures under nonstationary ambient excitations via Gabor spectral mode transmissibility functions

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5UamJBZVc2dGg1Rm5yenFXXzNhQ0RiYlFONEZKWkZKSlRnMS15T1FkUTFiR21Sb1FRR2VhbkljdkFzNjRkei1LUnZxUWZTUC1IY0JiYi1ZaTM1Q1BWcHpN?oc=5" target="_blank">Detecting localized damage in cantilevered structures under nonstationary ambient excitations via Gabor spectral mode transmissibility functions</a>  <font color="#6f6f6f">Nature</font>

Detecting dynamic spatial correlation patterns with generalized wavelet coherence and non-stationary surrogate data
Naturegeneral

Detecting dynamic spatial correlation patterns with generalized wavelet coherence and non-stationary surrogate data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA3UnJwUlhfX19iQjBtMVBVUEp1bTdPbDA2VGhSS3ZCOGNKc2hWYTVqNFFQUnNITXlnWHJwVEhua1N3eUxKaDUtLVRic1h6eHdmYTRYOXV3Xy1JQlR3WXlJ?oc=5" target="_blank">Detecting dynamic spatial correlation patterns with generalized wavelet coherence and non-stationary surrogate data</a>  <font color="#6f6f6f">Nature</font>

Safe and adaptive control of non-stationary stochastic systems via Lyapunov-constrained distributional reinforcement learning
Naturetech

Safe and adaptive control of non-stationary stochastic systems via Lyapunov-constrained distributional reinforcement learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9XTkJMbjI2NlluZTMtZEN1MGFmWlVBWU5tN25leGZrUFRqSDdYdWp0Ukc5bGNhbEpOV0xjc1R5NmpGR3Y0MU1iY0NRQzMxUmRaSGxCcmhLNks1bEtnY0x3?oc=5" target="_blank">Safe and adaptive control of non-stationary stochastic systems via Lyapunov-constrained distributional reinforcement learning</a>  <font color="#6f6f6f">Nature</font>

Research on robust fault-tolerant control of the controllable suspension based on knowledge-data fusion driven
Naturegeneral

Research on robust fault-tolerant control of the controllable suspension based on knowledge-data fusion driven

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1PbldVODAwS2dDQ3M5eklhR0hMblYxOExuVDI1NS13ZVJmLVVHU09FTXpNeGQ5M0hRNGk1aEZCcmxaMW1EWHdjQjhGS21rM25pS0k2Ty0wdUVQNmx5TVQ4?oc=5" target="_blank">Research on robust fault-tolerant control of the controllable suspension based on knowledge-data fusion driven</a>  <font color="#6f6f6f">Nature</font>

NSPLformer: exploration of non-stationary progressively learning model for time series prediction
Naturegeneral

NSPLformer: exploration of non-stationary progressively learning model for time series prediction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1pVFZienJUM0tNU3pWMi0wYjcyeUtqYS05aVVUdUdmTGUzVzZnQVAteUJtSC0wYkNWRmhJeDd2VG1KSUVXcFQzdXpnLWtPNTRwTlBOTlB4YWtUN3I0WXpj?oc=5" target="_blank">NSPLformer: exploration of non-stationary progressively learning model for time series prediction</a>  <font color="#6f6f6f">Nature</font>

Nonstationarity in correlation matrices for wind turbine SCADA‐data - Bette - 2023 - Wind Energy
Wiley Online Librarygeneral

Nonstationarity in correlation matrices for wind turbine SCADA‐data - Bette - 2023 - Wind Energy

<a href="https://news.google.com/rss/articles/CBMiZ0FVX3lxTE8zSXFnUnBaYXJ4ZERNakNmWmYzTmxWdERPaGlDZEdoV3lWSmtveFVvTHNRbUVycmJCeGdncUJZcEZsRzlQbHhqTDE2ZXZ4X0Zqc2V0MmdXY0lGdlZvZlRWZklnbkJmZkk?oc=5" target="_blank">Nonstationarity in correlation matrices for wind turbine SCADA‐data - Bette - 2023 - Wind Energy</a>  <font color="#6f6f6f">Wiley Online Library</font>

Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis
medRxivgeneral

Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis

<a href="https://news.google.com/rss/articles/CBMie0FVX3lxTE5URk91aTBDNXZMczBJc1YtNC1aOTd6NGlDOHJlaVZCT1pBSVpXWTFleUtyRkhlb01NYVVfcXVqYzVrak1RWXNwVnNHY3Z2UTBHSmdmSW0ybUUwTVRKaHNxeERQaTd2TDIzX1ZJa3hJMVloQ3Z2Qzg3QVBLVQ?oc=5" target="_blank">Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis</a>  <font color="#6f6f6f">medRxiv</font>

Interevent-time distribution and aftershock frequency in non-stationary induced seismicity
Naturegeneral

Interevent-time distribution and aftershock frequency in non-stationary induced seismicity

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA5X0RXRzhLd3o1eG1EX0VXWk56SjZzWnhxUDZqM0JELUVWVDZ1bTd6YlUzQ0taQmJ1clpCZ3dHS0J1bmFSdXJUZHdJSGZrYmMxcVFKR2xnR29ER2RQaWJJ?oc=5" target="_blank">Interevent-time distribution and aftershock frequency in non-stationary induced seismicity</a>  <font color="#6f6f6f">Nature</font>

A Hybrid, Non-Stationary Stochastic Watershed Model (SWM) for Uncertain Hydrologic Simulations Under Climate Change
AGU Publicationstech

A Hybrid, Non-Stationary Stochastic Watershed Model (SWM) for Uncertain Hydrologic Simulations Under Climate Change

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE1iU3lKVmtUdHAtWVVraTR0c19iVDhMME1VdlNIZ2RkWlNEQ2FuVVhTM1BwcFBZbG02TVFUVDY1emMtSkdNbDBoVkpFQXh1Z2txZnBjSFo4cmVLMURkclRLQTg1RmE1bEJ2c2JWSHZRZzVBUG1vbS1BSg?oc=5" target="_blank">A Hybrid, Non-Stationary Stochastic Watershed Model (SWM) for Uncertain Hydrologic Simulations Under Climate Change</a>  <font color="#6f6f6f">AGU Publications</font>

Calibration of spectra in presence of non-stationary background using unsupervised physics-informed deep learning
Natureworld

Calibration of spectra in presence of non-stationary background using unsupervised physics-informed deep learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBBY1NtQ1dqVlZsVVotbmZjT21ZUXI2aDZ6UmF5TEZkbXlReWIycUpqdXV4S2hleEJxUGdOclkwcnJqZHVfVDdKeV9HZFg5cGFHZ2J5Vk5yc2RYRVA1cWNn?oc=5" target="_blank">Calibration of spectra in presence of non-stationary background using unsupervised physics-informed deep learning</a>  <font color="#6f6f6f">Nature</font>

A copula-based multivariate flood frequency analysis under climate change effects
Naturescience

A copula-based multivariate flood frequency analysis under climate change effects

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBjWWpDd3VieGhhOHh3b1pzR3hzRlFaS1dHaU1LbWVWWTRibkduRDY0Y3J0cmozTk9sVnNqVC1mSG9kRktvSEwxc1kxQlp2NDVUcHNFb1JoM1JZc043V05F?oc=5" target="_blank">A copula-based multivariate flood frequency analysis under climate change effects</a>  <font color="#6f6f6f">Nature</font>

Exacerbated fires in Mediterranean Europe due to anthropogenic warming projected with non-stationary climate-fire models
Naturescience

Exacerbated fires in Mediterranean Europe due to anthropogenic warming projected with non-stationary climate-fire models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9ocU8zTGloREhaQ0hlOFZ3THViWmZ6Q1BMZHU3NkhVWXp0aHZMTkhoa281d2VHOVJtVzA1UV9wXzM1akR0Yk1WSzNielBTTXBUNUZBNzF5X1ZWVzkzNE5v?oc=5" target="_blank">Exacerbated fires in Mediterranean Europe due to anthropogenic warming projected with non-stationary climate-fire models</a>  <font color="#6f6f6f">Nature</font>

From rural hollowing to smart shrinkage: zonal governance considering spatial non-stationary effects | Scientific Reports
Naturegeneral

From rural hollowing to smart shrinkage: zonal governance considering spatial non-stationary effects | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE8xUm9VTGhJczhuRWs0LXozWTd6d1FZOXRPVW9NUkFKODQxc2lIVEdJZDNfeHBLUUZ5bE9PYXBQaWVNUEE5emZqTS01MWU1SDYxd1hHajduVjY0RG50RDhZ?oc=5" target="_blank">From rural hollowing to smart shrinkage: zonal governance considering spatial non-stationary effects | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

Deep Learning Mirrors Ecological Time Scales in Water Quality Forecasting | Newswise
Newswisegeneral

Deep Learning Mirrors Ecological Time Scales in Water Quality Forecasting | Newswise

<a href="https://news.google.com/rss/articles/CBMiqwFBVV95cUxQb0o3R2h3ck9mWXhmODFvR3FWQlY2YVZsQlJfaTJXeXJGQUFIdmFqRVRZa1RJM2hhSXZDeDR5WmY0ci12Wkk1cnpudzVmYjhIV0lvdWtIMGpPWWJYcmExM0hPVWNxdzhfallDODhEazBYMHhjaXAtam1qcGF2NWtmV0xWMGczV0J6Z095UTV2Q05oN2d2T2hHaS1nbnExVnRpTnkzQXNiVTNUS3PSAasBQVVfeXFMUG9KN0dod3JPZll4Zjgxb0dxVkJWNmFWbEJSX2kyV3lyRkFBSHZhakVUWWtUSTNoYUl2Q3g0eVpmNHItdlpJNXJ6bnc1ZmI4SFdJb3VrSDBqT1liWHJhMTNIT1VjcXc4X2pZQzg4RGswWDB4Y2lwLWptanBhdjVrZldMVjBnM1dCemdPeVE1dkNOaDdndk9oR2ktZ25xMVZ0aU55M0FzYlUzVEtz?oc=5" target="_blank">Deep Learning Mirrors Ecological Time Scales in Water Quality Forecasting | Newswise</a>  <font color="#6f6f6f">Newswise</font>

A key process of the nonstationary relationship between ENSO and the Western Pacific teleconnection pattern
Naturegeneral

A key process of the nonstationary relationship between ENSO and the Western Pacific teleconnection pattern

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5EM013QmQtRGROUVM1aTNSb1lRR3EzTk9kMUxNaFBhb1k3OWtuWVdRTTRMWk9vY1VyZTl6cTNJbktNTHVtZTBDSXRzTnNpTjIxY3dwVTNHWGhSWGRoQmNn?oc=5" target="_blank">A key process of the nonstationary relationship between ENSO and the Western Pacific teleconnection pattern</a>  <font color="#6f6f6f">Nature</font>

"Data-driven nonstationary" — Live Google News Trends & Headlines