The application of Earth observation data to Deep Learning (DL) has increased dramatically
over the last ten years, with ground-breaking initiatives made possible by the creation of …

One issue with the current Internet is the speed at which information can be shared.
Accordingly, this study presents a cloud-driven, hierarchical paradigm for sharing Internet …

Since December 2019, the COVID-19 pandemic has harmed social, financial, and work life.
The novel coronavirus has caused problems in all business sectors, including Information …

Four-dimensional cone-beam computed tomography, or 4D CBCT, is a technique used in
image-guided radiation treatment to generate a series of phase-resolved reconstructions of …

The recycling industry is crucial to environmental protection and resource conservation.
Glass recycling has great sustainability potential, but quality assurance and contaminant …

This paper introduces a tangible intelligent trash classification bin that leverages Deep
Learning (DL) techniques to efficiently identify and accurately classify diverse waste …

Smart cities are pioneering sustainability by integrating renewable energy sources. This
review explores the dynamic interplay between renewables, sustainability challenges, and …

Supervised learning algorithms have recently been brought to the classification of medical
data in an effort to boost diagnostic throughput and eliminate human-caused diagnostic …

This research aims to recognize between RESTful and SOAP-WSDL web services that are
more modifiable and maintainable. A web service that is easily adaptable and maintainable …

Nowadays, the integration of blockchain and edge computing has become important in
computer science due to the significant advantages it can bring to a range of real-world …