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

Rapid technological development opens up new opportunities for assessing ecosystem
services (ES), which may help to overcome current knowledge gaps and limitations in data …

Video streaming-based real-time vehicle identification and license plate recognition systems
are challenging to design and deploy in terms of real-time processing on edge, dealing with …

Abstract The Red Palm Weevil (RPW), also known as the palm weevil, is considered among
the world's most damaging insect pests of palms. Current detection techniques include the …

In the last decade, there has been a significant surge of interest in machine learning,
primarily driven by advancements in deep learning (DL). DL has emerged as a powerful …

The overarching goal of this research was to examine the state of satellite imagery security
in relation to its deteriorating form due to rising demand. The most common approaches to …

With the arrival of new data acquisition platforms derived from the Internet of Things (IoT),
this paper goes beyond the understanding of traditional remote sensing technologies. Deep …

Recently, deep learning and blockchain technologies have gained successful attention due
to the high potential of generating accurate decisions and data security, respectively. The …

In the ever-expanding online fashion market, businesses in the clothing sales sector are
presented with substantial growth opportunities. To utilize this potential, it is crucial to …

In applications of the Internet of Things (IoT), where many devices are connected for a
specific purpose, data is continuously collected, communicated, processed, and stored …