https://journal.hmjournals.com/index.php/JAIMLNN <p>The <strong>Journal of Artificial Intelligence, Machine Learning and Neural Network (JAIMLNN) having ISSN: 2799-1172</strong> is a double-blind, peer-reviewed, open access journal that provides publication of articles in all areas of Artificial Intelligence, Machine Learning and Neural Network and related disciplines. The objective of this journal is to provide a veritable platform for scientists and researchers all over the world to promote, share, and discuss a variety of innovative ideas and developments in all aspects of <strong>Artificial Intelligence, Machine Learning and Neural Network.</strong></p> en-US editor.jaimlnn@gmail.com (Editor in Chief) editor.jaimlnn@gmail.com (Tech Support) Thu, 11 Apr 2024 08:59:46 +0000 OJS 3.3.0.7 http://blogs.law.harvard.edu/tech/rss 60 https://journal.hmjournals.com/index.php/JAIMLNN/article/view/4036 <p>The domain of fog computing is one of the emerging segments of the distributed computing which the secured delivery of computing services is integrated. In the domain of fog computing, the nearby access to the computing environment is made so that the overall dependency of the Internet connection and bandwidth can be avoided. In this way, the nearby infrastructure of servers and computing environment is made so that the complete dependencies from the Internet and Cloud can be avoided. In addition to the presented aspects in the manuscript, the overall performance of the fog computing based environment can be escalated with the usage of dew or mist based computing which are further the advanced version of the implementation in the distributed environment to the current level of the accuracy and performance for the multiple dimensions in the scenarios.</p> Rasha Hani Salman Copyright (c) 2024 Authors https://creativecommons.org/licenses/by-nc/4.0/ https://journal.hmjournals.com/index.php/JAIMLNN/article/view/4036 Thu, 11 Apr 2024 00:00:00 +0000