Results 71 to 80 of about 1,557,577 (150)

Hybrid Temporal Autoencoder and Similarity Matching for Low Aggregation Level Long Time Series Forecasting

Journal of Forecasting, Volume 45, Issue 8, Page 3565-3596, December 2026.
ABSTRACT Deep learning‐based long time series forecasting (LTSF) has achieved high accuracy by effectively capturing the underlying trends, seasonality, and temporal dependencies within time series data. However, at the individual entity level, termed the low aggregation level (LAL), intermittency, irregularity, and data sparsity undermine the ...
Hanbyeol Park, Sunghyun Sim, Kikun Park, Yongjae Lee, Eunhee Park, Hyerim Bae   +5 more
wiley   +1 more source

Refined Generalized Multivariate Multiscale Fuzzy Entropy: A Preliminary Study on Multichannel Physiological Complexity During Postural Changes

, 2018
We propose a novel approach to characterize the complexity of multivariate physiological processes over multiple time scales, which hereinafter we call Refined Generalized Multivariate Multiscale Fuzzy Entropy (ReGeM-MFE).
Gaetano Valenza, Scilingo, Enzo Pasquale, Nardelli, Mimma, Enzo Pasquale Scilingo, Mimma Nardelli, Valenza, Gaetano   +5 more
core   +1 more source

A Novel Text‐Based Framework for Forecasting Carbon Prices

Journal of Forecasting, Volume 45, Issue 8, Page 3507-3529, December 2026.
ABSTRACT This study proposes a text‐based framework for predicting EU carbon prices. Using weekly data from 2020 to 2024, we construct a multivariate dataset combining financial indicators, commodity prices, Google Trends measures, and news‐based sentiment extracted using FinBERT.
Christian Oliver Ewald, Yaoyu Li
wiley   +1 more source

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe, Yazhou Sun, Sanai Li, Wenxuan Guo   +3 more
wiley   +1 more source

A data‐driven image extraction and analysis pipeline for plant phenotyping in controlled environments

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Advances in automation, imaging, and artificial intelligence have enabled large‐scale plant phenotyping, but image analysis remains a critical bottleneck for crop improvement and biological discovery. We developed an integrated multispectral phenotyping framework using imagery from the Texas A&M AgriLife Automated Precision Phenotyping ...
Fahimeh Orvati Nia, Joshua Peeples, Seth C. Murray, Andrew McFarland, Troy Vann, Shima Salehi, Robert Hardin, David D. Baltensperger, Amir M. H. Ibrahim, J. Alex Thomasson, Henry Fadamiro, Nithya K. Subramanian, Suresh D. Pillai, Rebecca Roston, Joslin Ishimwe, Diptadeep Basak, Nazar Oladepo, Uday Vysyaraju   +17 more
wiley   +1 more source

Four Decades of Research at the MADE Site and Beyond: Advancing the Understanding and Modeling of Solute Transport in Heterogeneous Media

Reviews of Geophysics, Volume 64, Issue 4, December 2026.
Abstract Spatial heterogeneity, manifested as strong variability in hydraulic conductivity (K) within geological formations, exerts a fundamental control on groundwater flow and solute transport. Because K can vary over multiple orders of magnitude in complex three‐dimensional patterns, predicting contaminant plume migration remains a long‐standing ...
Zhilin Guo, Maosheng Yin, Peiyao Dong, Yong Zhang, Kewei Chen, Graham Fogg, Brian Berkowitz, Marco Dentz, Chunmiao Zheng   +8 more
wiley   +1 more source

Science Needs for a Terrestrial Biosphere Tipping Point Early Warning System

Reviews of Geophysics, Volume 64, Issue 4, December 2026.
Abstract Tipping points in the Earth system have the potential to cause major detrimental impacts to the biosphere and societies. Their inherent nonlinearity implies that even relatively small additional increases in external forcing might result in disproportionately large adjustments to components of the Earth system.
Jesse F. Abrams, Chris Huntingford, Sergei Petrovskii, Joshua E. Buxton, Helen Millman, Chris A. Boulton, Robert J. Parker, Cristina Ruiz Villena, Andrew M. Cunliffe, Joseph Clarke, Valerio Lucarini, Darren Ghent, Peter M. Cox, Timothy M. Lenton   +13 more
wiley   +1 more source

Fine‐Scale Variability of Cold‐Water Coral and Sponge Communities on Protected Northeast Pacific Seamounts

Aquatic Conservation: Marine and Freshwater Ecosystems, Volume 36, Issue 11, November 2026.
ABSTRACT Cold‐water corals and sponges (CWCS) on Northeast Pacific seamounts form important biogenic habitat that is intersected by a broad oxygen minimum zone (OMZ) and exposed to ongoing deoxygenation. Many seamounts in this region lie within marine protected areas (MPAs), making an understanding of fine‐scale community structure particularly ...
Megan A. Davies, Cherisse Du Preez, Amanda E. Bates   +2 more
wiley   +1 more source

Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models

Journal of Forecasting, Volume 45, Issue 7, Page 3170-3190, November 2026.
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly, Pooja Sengupta, Divya Aggarwal   +2 more
wiley   +1 more source

Insights into Entropy as a Measure of Multivariate Variability

, 2016
Entropy has been widely employed as a measure of variability for problems, such as machine learning and signal processing. In this paper, we provide some new insights into the behaviors of entropy as a measure of multivariate variability.
Badong Chen, Haiquan Zhao, Jose C. Principe, Jose Principe, Jianji Wang   +4 more
core   +1 more source