Results 91 to 100 of about 245 (160)

A Comparative Hybrid Deep Learning Approach for Robust Stator–Rotor Fault Identification in DFIGs Using FFT‐Based Features and CNN–LSTM–Transformer Models Under Nonstationary Wind Turbulence

open access: yesEngineering Reports, Volume 8, Issue 9, September 2026.
A hybrid CNN–LSTM–Transformer framework with FFT‐based feature extraction enables accurate detection and severity estimation of stator and rotor faults in DFIGs under turbulent conditions, achieving over 94% accuracy for early‐stage fault diagnosis. Fault Diagnosis and Severity Estimation in Wind Turbines.
Mehdi Mohammadian Mehr   +3 more
wiley   +1 more source

Risk Assessment and Diagnosis Model for Real‐Time Flood Control Operation of a Multi‐Reservoir System

open access: yesLand Degradation &Development, Volume 37, Issue 15, Page 10658-10671, September 2026.
ABSTRACT Real‐time flood control operation of multi‐reservoir systems is affected by multiple sources of hydrological and operational uncertainties, which increase the complexity of risk propagation and decision‐making processes. Therefore, effective risk assessment and diagnosis are essential for supporting risk‐informed flood control operation.
Juan Chen   +5 more
wiley   +1 more source

Assessing and Explaining Human–Nature Coordination at the County Scale in China: Combining an Interpretable Spatiotemporal Graph Neural Network and Difference‐In‐Differences

open access: yesLand Degradation &Development, Volume 37, Issue 15, Page 11298-11321, September 2026.
ABSTRACT Coordinating high‐intensity human activities with fragile ecosystems remains a major challenge for global sustainability. Accurate assessment of human–nature coordination (HNC) is critical, yet county‐level variations, underlying drivers, and responses to ecological zoning have seldom been examined simultaneously within a unified framework. We
Qi Liu   +4 more
wiley   +1 more source

Seasonal variations and challenges in estimating populations and identifying species of Korean ungulates using drone‐derived thermal orthomosaic maps

open access: yesWildlife Biology, Volume 2026, Issue 5, September 2026.
Drones equipped with thermal infrared (TIR) cameras offer significant time and labor savings in estimating wild ungulate populations. However, accurately monitoring forest‐dwelling ungulates remains challenging due to their elusive behavior and complex habitat.
Jinhwi Kim, Donggul Woo
wiley   +1 more source

Punchline with(out) purpose: Integrating research on instructional humour and seductive details

open access: yesBritish Journal of Educational Psychology, Volume 96, Issue 3, Page 1272-1296, September 2026.
Abstract Introduction We integrated research on instructional humour and seductive details to investigate when affiliative course‐related humour is effective or rather ineffective for learning. We assumed that instructional humour without a cognitive function (irrelevant humour) would have detrimental effects on learning performance resembling the ...
Lisa Bender   +2 more
wiley   +1 more source

Разработка нечеткой многофакторной линейной регрессионной модели в управлении конкурентоспособностью банка

open access: yes, 2014
В статті наведено аналіз методів побудови нечітких багатофакторних лінійних регресійних моделей, описані переваги та недоліки кожного з них. В пропонованій нечіткій багатофакторній лінійній регресійній моделі розглядається критерій мінімізації нечіткості
Койбичук, Виталия Васильевна   +3 more
core  

MSPCIFormer: A Multi‐Scale Patching Channel‐Independent Transformer for Cryptocurrency Price Forecasting

open access: yesExpert Systems, Volume 43, Issue 9, September 2026.
ABSTRACT Forecasting cryptocurrency prices remains challenging due to extreme volatility, regime‐dependent dynamics, and unstable cross‐asset correlations. Statistical methods such as ARIMA and GARCH assume stationarity and linear dependence structures, making them inadequate for capturing non‐linear temporal patterns in high volatile cryptocurrency ...
Huali Zhao   +2 more
wiley   +1 more source

AISyst: AI‐Powered Interactive Visual System to Assist With Fidelity Assessment of Synthetic Tabular Data

open access: yesExpert Systems, Volume 43, Issue 9, September 2026.
ABSTRACT Evaluating synthetic data produced by generative models remains a critical challenge in sensitive domains such as healthcare and finance. Ensuring that such data is ‘faithful’ to real data is essential for downstream applications and decision‐making, including regulatory compliance. This paper introduces an AI‐powered interactive visual system—
Liqun Liu   +5 more
wiley   +1 more source

Sheep and cattle grazing regimes differentially affect ground beetle and ant communities in Mediterranean cork oak woodlands

open access: yesInsect Conservation and Diversity, Volume 19, Issue 5, Page 1046-1060, September 2026.
Sheep and cattle grazing significantly shape ant and ground beetle species composition in Mediterranean cork oak woodlands, promoting higher diversity by increasing habitat heterogeneity. Ground beetles and ants reflect changes in grazing regimes, with sheep‐grazed areas showing the highest diversity, highlighting their utility in ecosystem monitoring.
Marcello Verdinelli   +3 more
wiley   +1 more source

Selective seasonal foraging behavior of herbivores on a Danish island demonstrated by DNA metabarcoding

open access: yesRestoration Ecology, Volume 34, Issue 7, September 2026.
Abstract Introduction Understanding how herbivores influence plant communities is critical for managing biodiversity and ecosystem functions, particularly in conservation areas undergoing restoration or rewilding, where free‐ranging large herbivores impact the vegetation development.
Henry F. N. Lankes   +4 more
wiley   +1 more source

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