Results 151 to 160 of about 145,010 (267)

Hidden Markov Models for Bounded, Inflated Time Series: Forecasting Icing on Wind Turbine Blades

open access: yesWind Energy, Volume 29, Issue 5, May 2026.
ABSTRACT Time series analysis of icing‐induced power loss in wind turbines pose several challenges: the response is bounded, serially dependent, intermittently missing, highly dispersed, and often inflated at a single value. We address these challenges with discrete‐time hidden Markov models for a discrete‐continuous process assumed to follow a mixture
Albert S. Bisgaard   +3 more
wiley   +1 more source

Skin diseases in a primary, secondary, and tertiary setting in Trinidad and Tobago, with an evaluation of service provision

open access: yesSkin Health and Disease
Nirmala Hallai   +5 more
doaj   +1 more source

Bayesian‐Belief Direct Policy Search for Adaptive Water Supply Planning With Endogenous Learning

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract Climate change uncertainty challenges water supply planning, where long‐lived infrastructure must ensure reliable supply under evolving conditions. Adaptive planning addresses this by incrementally expanding infrastructure only as needed, reducing unnecessary investments.
Mofan Zhang   +4 more
wiley   +1 more source

Physics‐AI Synergized Optimization‐Learning‐Simulation Framework for Robust Cascade Reservoir Scheduling Under Future Hydrological Uncertainty

open access: yesWater Resources Research, Volume 62, Issue 5, May 2026.
Abstract Coordinated optimization of cascade reservoirs is critical for maximizing a river basin's economic, social, and ecological benefits. However, conventional hydropower scheduling lacks adaptability to complex future scenarios, constrained by seasonal hydrological variability and uncertain inflows.
Zhaoyang Zhu   +7 more
wiley   +1 more source

El ciudadano Arima

open access: yes, 1967
"Este Art?culo pertenece a la secci?n Cine. "
openaire   +3 more sources

Trend of Bloody Diarrhea in Kerman Province, Iran: A Time Series Study From 2013 to 2023. [PDF]

open access: yesCan J Infect Dis Med Microbiol
Jaafari Z   +5 more
europepmc   +1 more source

Unveiling Stock Market Trends by Deep Learning Insights With Correction Factor and Recurrent Neural Networks

open access: yesExpert Systems, Volume 43, Issue 5, May 2026.
ABSTRACT Understanding financial behaviour, particularly in the stock market, has attracted significant interest in recent years due to advancements in artificial intelligence and its impact on the global economy. The field of stock market prediction, which explores the interaction between finance and computer science to create predictive models, aims ...
Jair O. González   +4 more
wiley   +1 more source

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