This study examines the co-movement dynamics of inflation rates among Southern African Development Community (SADC) member ...
Abstract: A new image feature description based on the local wavelet pattern (LWP) is proposed in this paper to characterize the medical computer tomography (CT) images for content-based CT image ...
Large Language Models (LLMs) have revolutionized artificial intelligence, impacting various scientific and engineering disciplines. The Transformer architecture, initially designed for machine ...
Abstract: Aerial object tracking has recently shown great potential in the field of remote sensing. However, small objects with limited feature information pose a huge challenge to aerial trackers.
Mathematical transforms can be a great help in understanding signals. Imaging trying to look at a complex waveform and figuring out the frequency components without the Fourier transform. [Artem ...
Background: To evaluate the electroretinogram waveform in autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) using a discrete wavelet transform (DWT) approach. Methods: ...
In an increasingly data-driven world, mathematical tools known as wavelets have become an indispensable way to analyze and understand information. Many researchers receive their data in the form of ...
Built upon the ubiquitous Fourier transform, the mathematical tools known as wavelets allow unprecedented analysis and understanding of continuous signals. In an increasingly data-driven world, ...
The mathematician Ingrid Daubechies’ pioneering work in signal processing helped make our electronic world possible — and beat a path for women in the field. Ingrid Daubechies.Credit...Jeremy M. Lange ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback