Abstract
This research introduces a comprehensive study of the most robust Single-Board Computers (SBCs) implemented recently, where most of them are built on the system-on-chip architecture. This study also presents the main characteristics of each of these SBCs, as well as their prices and applications. Additionally, the study reviews some machine learning (ML) and deep learning (DL) techniques, exploring their implementation on SBCs. Finally, it displays some software tools on how to implement DL and ML projects on SBCs.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
