JEMTEC

The rapid transformation of the globe is being propelled by the advancements in technology for communication and information.  The objective of this particular edition is to examine some significant developing patterns in artificial intelligence (AI) that propel intelligent industrial applications. In recent decades, a series of technological advancements, including big data data analysis, 5G networks, the Internet of Things (i.e. IoT), artificial intelligence (AI), and cybersecurity, have facilitated the transformation and enhanced the intelligence of various businesses. These technologies enable the efficient processing, analysis, and transmission of vast quantities of data. With the use of this data, experts in the industrial sector are now able to make decisions that are better informed, leading to improved efficiency, safety, and production. Consequently, there has been a significant increase in automation within sectors, leading to heightened levels of connectivity among individu

  The amount of data now available makes it extremely difficult to find what we need. While search engines can give relevant information based on content or keywords, they are nevertheless limited by the user's ability to search for relevant information. However, computers can improve recommendations for users by monitoring their activity and interests and proactively presenting relevant content to various persons.Every day, hundreds of new stories are published in the news sector. However, due to space constraints, only a few of them are featured on the website's home page, and users are bound to miss their preferred material due to their various visiting times. A reliable recommendation system can track a user's behaviour and visits and display relevant content to that user. With a huge collection of articles that have a lengthy shelf life in the field of business news, the recommendation system can make outdated information available to the right user based on his intere