The reliable detection and neutralization of unmanned aircraft systems (UASs), known as
counter UAS (cUAS), is pivotal in restricted air spaces. The application of deep learning (DL) …

Machine learning approaches, such as deep neural networks, have shown recent success
for target detection and identification problems in hyperspectral imagery. However, when …

Robust and accurate unmanned aircraft system (UAS) detection is pivotal in restricted air
spaces. Deep learning-based object detection has been proposed to identify the presence …

Certainty is a significant part of disease detection, involving various kinds of imaging and
machine learning (ML) methodologies. More precisely than other ML methods, a …

Hyperspectral imagery (HSI) are captured in narrow and contiguous spectral bands for
efficient detection of earth surface features. Therefore, HSI are having high spectral …

Throughout the last decade, machine learning has incurred exciting developments and, as a
result, has been applied in a variety of applications such as wireless communications, image …

Methods of spectral dimensionality reduction (DR) of hyperspectral imagery (HSI) are
presented in this book that includes both feature extraction and feature selection–based …