Results 101 to 110 of about 2,457 (170)
Symbolic metaprogram search improves learning efficiency and explains rule learning in humans. [PDF]
Rule JS +5 more
europepmc +1 more source
Earthquake and Tsunami NaTech Risk Assessment for Oil Storage Facilities
ABSTRACT Interaction of natural and technological hazards (NaTech) events, such as tsunamis and earthquakes, can affect industrial facilities such as those featuring anchored atmospheric storage tanks. Consequences of natural events on this kind of installation may include the release of hazardous substances, which in turn can lead to industrial ...
Georgios Baltzopoulos +6 more
wiley +1 more source
A numerical model of variable‐speed pumped storage unit (VSPSU) with full‐size converter (FSC) under fast speed control strategy is established. Additionally, the correctness of the model was validated by comparing with SIMSEN simulation results and text prototype data from NARI.
Weijia Yang +5 more
wiley +1 more source
Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk +4 more
wiley +1 more source
Environmental Control for Edible Fungi Cultivation Based on Temporal Information and Deep Learning
ABSTRACT Currently, there are still prevalent issues in greenhouse environmental regulation, such as response lag, low control accuracy, and difficulty in coping with sudden environmental disturbances. To achieve high‐precision and dynamic control of the edible fungi cultivation environment, this study proposes an edible fungi environmental control ...
Xiangyan Wang +3 more
wiley +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Lost in Translation? Risk‐Adjusting RMSE for Economic Forecast Performance
ABSTRACT When used for parameter optimization and/or model selection, traditional mean squared error (MSE)–based measures of forecast accuracy often exhibit a weak or even negative correlation with the economic value of return forecasts measured by, for example, the Sharpe ratios of the resulting portfolios.
Lukas Salcher +2 more
wiley +1 more source
Why Do Hedgers Hedge? The Role of Ambiguity
ABSTRACT This paper investigates whether ambiguity influences hedging behavior in commodity futures markets. Using high‐frequency crude oil futures data, distinct measures of risk and ambiguity are linked to weekly hedging positions from the Commodity Futures Trading Commission (CFTC).
Fiona Höllmann
wiley +1 more source
Abstracts of the 2013 Annual Meeting of the American College of Rheumatology. October 25-30, 2013. San Diego, California, USA. [PDF]
europepmc +1 more source
Health Preferences and Sorting in the City
ABSTRACT There are large health inequalities between neighborhoods in many cities of the world. This paper studies individuals' sorting based on health amenities and exposes an important connection between health preferences and the housing market. I estimate a neighborhood choice model using geolocated data from a health survey in New York City and ...
Manuela Puente‐Beccar
wiley +1 more source

