Results 91 to 100 of about 245 (160)
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
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
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
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
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
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
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
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 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
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

