Results 151 to 160 of about 145,010 (267)
Hidden Markov Models for Bounded, Inflated Time Series: Forecasting Icing on Wind Turbine Blades
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
Forecasting Tuberculosis Incidence in Somalia: A Comparative Analysis of Single and Hybrid Time-Series Models. [PDF]
Dahir HM +4 more
europepmc +1 more source
Bayesian‐Belief Direct Policy Search for Adaptive Water Supply Planning With Endogenous Learning
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
Data-Driven Health Monitoring of Construction Materials Based on Time Series Analysis of Crack Propagation Sensors. [PDF]
Kurnyta-Mazurek P, Kurnyta A.
europepmc +1 more source
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
Trend of Bloody Diarrhea in Kerman Province, Iran: A Time Series Study From 2013 to 2023. [PDF]
Jaafari Z +5 more
europepmc +1 more source
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
Data-Driven Machine Learning-Based Forecasting of Dengue in Bangladesh: Supporting Digital Health Approaches for Early Warning. [PDF]
Chowdhury AH.
europepmc +1 more source

