This study presents a comparative analysis of two image enhancement techniques,
Continuous Wavelet Transform (CWT) and Fast Fourier Transform (FFT), in the context of …

Quaternion type moments (QTM) based on hypergeometric functions and harmonic
functions have attracted interest in the imaging field. The Franklin system is a complete …

First-order algorithms have long dominated the training of deep neural networks, excelling in
tasks like image classification and natural language processing. Now there is a compelling …

Precise surveys are indispensable in coastal engineering projects. The extensive presence
of sand in the coastal area leads to significant attenuation of seismic waves within …

Prior aquatic animal image classification research focused on distinguishing external
features in controlled settings, utilizing either digital cameras or webcams. Identifying …

Breast cancer is the most common type of cancer in women and poses a significant health
risk to women globally. Developments in computer-aided diagnosis (CAD) systems are …

Semantic segmentation has been successfully adopted for scenarios such as indoor,
outdoor, urban scenes, and synthetic scenes, but applications with scarce labeled data such …

Semantic segmentation has been successfully adopted for scenarios such as indoor,
outdoor, urban scenes, and synthetic scenes, but applications with scarce labeled data such …

The goal of the chapter on earthquake multi-magnificence detection and the use of synthetic
intelligence is to discover and exhibit the usage of device learning and AI techniques for …