Results 151 to 160 of about 109,346 (263)

Seismic Assessment Procedure for Exterior Reinforced Concrete Beam–Column Joints With Slab and Transverse Beams

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT This article presents a capacity‐based assessment procedure for beam–column (b–c) joints of reinforced concrete frames with floor slabs and transverse beams. The procedure extends a previously proposed assessment methodology for determining the hierarchy of strengths and the sequence of events in symmetrically reinforced planar b–c joints.
Patricio Quintana Gallo   +3 more
wiley   +1 more source

Smart Solar Power Site Selection Through a Hybrid Computational Framework of Neuro‐Fuzzy With Genetic Algorithm Optimization

open access: yesEnergy Science &Engineering, EarlyView.
Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi   +8 more
wiley   +1 more source

Edible Antifungal Coatings Based on Litchi Chinensis Seed Starch Enriched With Pericarp Procyanidins for the Postharvest Preservation of Strawberries

open access: yesFood Chemistry International, EarlyView.
Lychee starch coatings enriched with procyanidins showed strong antifungal activity and effectively preserved strawberry quality postharvest, reducing weight loss, decay, and senescence. This highlights their potential as a sustainable natural alternative for shelf‐life extension and fungal control in fresh produce.
Guillermo Castillo‐Olvera   +7 more
wiley   +1 more source

Machine Learning Approaches to Forecast the Realized Volatility of Crude Oil Prices

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This paper presents an evaluation of the accuracy of machine learning (ML) techniques in forecasting the realized volatility of West Texas Intermediate (WTI) crude oil prices. We compare several ML algorithms, including regularization, regression trees, random forests, and neural networks, to several heterogeneous autoregressive (HAR) models ...
Talha Omer   +3 more
wiley   +1 more source

A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios

open access: yesJournal of Forecasting, EarlyView.
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

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