Inflation forecasting during crisis periods using Bayesian Dynamic Linear Models, traditional econometrics, and machine learning. Includes data, code, and comprehensive analysis report.

Ad spending continued its shift away from linear TV to streaming during this year’s upfront ad-buying season, but, thanks in part to the growth of free ad-supported streaming services (FASTs), buyers ...

Abstract: Dynamic wireless power transfer (DWPT) addresses the power supply limitations of magnetically levitated transport systems reliant on rigid cables, yet receiver motion introduces undesirable ...

Abstract: This study addresses critical gaps in financial risk assessment and portfolio optimization by integrating advanced machine learning (ML) and deep learning (DL) techniques to handle the ...

ABSTRACT: This study investigates the influence of strut height on the shimmy stability of aircraft nose landing gear through both theoretical modeling and experimental validation. A nonlinear dynamic ...

ABSTRACT: The promotion of sustainable agricultural practices is crucial for achieving environmental sustainability. Moreover, there is limited documentation on how green agriculture moderates the ...

To investigate the effects of wet-dry cycling on the dynamic tensile strength and failure characteristics of limestone, this study conducted dynamic impact loading experiments on limestone specimens ...