Integrating Artificial Intelligence (AI) techniques with remote sensing holds great potential for
revolutionizing data analysis and applications in many domains of Earth sciences. This …

Extensive research has been conducted on healthcare technology and service
advancements during the last decade. The Internet of Medical Things (IoMT) has …

Building-change detection underpins many important applications, especially in the military
and crisis-management domains. Recent methods used for change detection have shifted …

Object Classification in Remote Sensing Imagery holds paramount importance for extracting
meaningful insights from complex aerial scenes. Conventional methods encounter …

Early cancer identification is regarded as a challenging problem in cancer prevention for the
healthcare community. In addition, ensuring privacy-preserving healthcare data becomes …

Drones have recently become one of the most important technological breakthroughs. They
have opened the horizon for a vast array of applications and paved the way for a diversity of …

Deep learning has achieved remarkably positive results and impacts on medical diagnostics
in recent years. Due to its use in several proposals, deep learning has reached sufficient …

Abstract In recent years, Big Data Analytics (BDA) and Federated Learning (FL) have
become increasingly essential in healthcare, potentially revolutionizing patient care and …

Road detection technology plays an essential role in a variety of applications, such as urban
planning, map updating, traffic monitoring and automatic vehicle navigation. Recently, there …

Deep convolutional neural networks (DCNNs) have become the leading tools for object
extraction from very-high-resolution (VHR) remote sensing images. However, the label …