Results 101 to 110 of about 21,185 (243)
Weibull‐Neural Network Framework for Wind Turbine Lifetime Monitoring and Disturbance Identification
Wind Energy, Volume 29, Issue 4, April 2026.ABSTRACT Wind turbines are vital for sustainable energy, yet their reliability under diverse operational and environmental conditions remains a challenge, often leading to costly failures. This study presents a novel Weibull‐Neural Network Framework to enhance wind turbine lifetime monitoring by estimating reliability (R(t)) and mean residual life (MRL)
Fatemeh Kiadaliry +2 more
wiley +1 more source
Estimating Mediterranean Cyclone Activity via Explainable Machine Learning
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.Abstract Intense cyclones in the Mediterranean drive most of the region's rainfall and wind‐wave extremes, exerting a significant socio‐economic impact. Currently there are no established analytical tools for estimating Mediterranean cyclone activity from climatological fields.
Guido Ascenso +5 more
wiley +1 more source
Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.Abstract Effective drought management is critical for agriculture‐based economies like India. This study examines whether a transformer‐based architecture can function as a robust pre‐trained backbone for operational drought forecasting across India. We utilized a pre‐trained transformer model, which was trained on the Indian Monsoon Data Assimilation ...
Ashish Pathania, Vivek Gupta
wiley +1 more source
Molecular Ecology Resources, Volume 26, Issue 3, April 2026.ABSTRACT The coevolutionary radiation of 27 species of Tetraopes longhorned beetles and their Asclepias milkweed hosts represents a classic example of adaptive evolution driven by plant chemical defences and herbivore counteradaptations. Investigations to date, however, have focused on a single species, Tetraopes tetrophthalmus, which feeds on the ...
Sangil Kim, Brian D. Farrell
wiley +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
Journal of Economic Surveys, Volume 40, Issue 2, Page 915-953, April 2026.ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
An Arctic Sea Ice Energy Budget for the Last Interglacial
Geophysical Research Letters, Volume 53, Issue 6, 28 March 2026.Abstract With ongoing anthropogenic warming, the Arctic is increasingly dominated by thin, first‐year sea ice. Understanding the ice–ocean–atmosphere interactions in warmer climates is therefore essential. We analyze the Arctic sea‐ice energy budget in nine CMIP6‐PMIP4 lig127k simulations of the Last Interglacial warm Arctic.
M. Pollock +5 more
wiley +1 more source
Agrosystems, Geosciences &Environment, Volume 9, Issue 1, March 2026.Abstract Garlic (Allium sativum), a vegetable crop used for food, medicine, and condiments, is affected by white rot (Sclerotium cepivorum). Garlic yield reduction is influenced by several factors, with biotic stresses, particularly fungal pathogens, being among the most significant.
Mussa Adal Mohammed, Asmare Dejen Demeke
wiley +1 more source
British Journal of Clinical Pharmacology, Volume 92, Issue 3, Page 809-821, March 2026.N‐of‐1 trials offer a unique and rigorous methodology for evaluating individualized treatment responses, particularly within the context of personalized medicine. This article provides a comprehensive explanation of the conceptual and methodological underpinnings of N‐of‐1 trials, with particular emphasis on statistical techniques and considerations ...
Marcos Clint Leal De Carvalho +5 more
wiley +1 more source
Cancer Medicine, Volume 15, Issue 3, March 2026.Our study highlights the benefits of early use of mycophenolate mofetil (MMF) for patients with immune‐related hepatitis requiring systemic steroids. This may provide guidance on the appropriate use of MMF in terms of its efficacy and safety. ABSTRACT Background Immune‐related hepatitis (ir‐hepatitis) is an immune‐related adverse event that can be ...
Yukiko Shimoda Igawa +18 more
wiley +1 more source
A Systematic Review of End‐of‐Life Motorcycles: Identifying Challenges, Trends, and Gaps
CLEAN – Soil, Air, Water, Volume 54, Issue 3, March 2026.Existing studies on End‐of‐Life Motorcycles (ELMs) are systematically reviewed to identify methodological approaches, research trends, and regional gaps. The literature shows a strong concentration of studies in Asian countries and a predominance of quantitative and technical methods focused on environmental impacts and logistics.
Joyce Nunes Galvão Cavalcante +1 more
wiley +1 more source