Results 291 to 300 of about 467,877 (376)

Validating Explainer Methods: A Functionally Grounded Approach for Numerical Forecasting

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT Forecasting systems have a long tradition in providing outputs accompanied by explanations. While the vast majority of such explanations relies on inherently interpretable linear statistical models, research has put forth eXplainable Artificial Intelligence (XAI) methods to improve the comprehensibility of nonlinear machine learning models. As
Felix Haag   +2 more
wiley   +1 more source

Oil Futures Prices, Inflation Expectations, and Bond Risk Premiums

open access: yesJournal of Futures Markets, EarlyView.
ABSTRACT By decomposing West Texas Intermediate futures price changes into structural supply and demand shocks, this paper shows that dissecting the oil price significantly improves inflation forecasts. Empirically, demand‐driven shocks predict a negative real bond risk premium but a positive inflation risk premium; these opposing effects result in an ...
Haibo Jiang
wiley   +1 more source

Leveraging Employees' Social Capital for Organizational Resilience in Small and Medium‐Sized Enterprises: The Role of High‐Involvement Work Practices

open access: yesHuman Resource Management, EarlyView.
ABSTRACT Employees' bridging social capital (EBSC), conceptualized as the collective bridging social capital that employees bring into the organization, has been recognized as a potential resource for fostering organizational resilience (i.e., the ability to survive and thrive when confronted with unexpected disruptions and challenges), especially for ...
Tinkuma Ejovi Edafioghor   +2 more
wiley   +1 more source

Heat Transfer Performance of Biphilic Surfaces With Diatomite‐Based Composite Coatings in a Closed Thermosyphon System

open access: yesHeat Transfer, EarlyView.
ABSTRACT This study investigates the thermal performance of innovative biphilic boiling surfaces designed for CPU cooling applications using a two‐phase closed thermosyphon (TPCT) system. The surfaces were fabricated by applying composite coatings—comprising epoxy resin and diatomite particles functionalized with APTES and PFOTS silanes— onto Al1050 ...
José Pereira   +3 more
wiley   +1 more source

Direct Numerical Simulation of Magnetohydrodynamic Slip‐Flow Past a Stretching Surface Using Physics‐Informed Neural Network

open access: yesHeat Transfer, EarlyView.
ABSTRACT Traditional numerical methods, such as finite difference methods (FDM), finite element methods (FEM), and spectral methods, often face meshing challenges and high computational cost for solving nonlinear coupled differential equations. Machine learning techniques, specifically Physics‐informed machine learning, address these obstacles by ...
Ahmad, Feroz Soomro, Husna Zafar
wiley   +1 more source

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