… we propose that the relationship between artificial intelligence and smart decision-making is
… artificial intelligence, with the help of social innovation, influences decision-making in smart …

… , speech analytics, threat intelligence—provide new … smart cities, ie, the “Artificially Intelligent
Cities” of the future [37]. There is a vast array of literature on the prospects of AI for smart …

… and managed, rather than “smart” beings with their own material … This article considers
how precision agriculture and smart … governing smart farming and related artificially intelligent …

… In this article, we employ the abstractions given in the SMART task … We investigate the
ability of vision-language models to reason … results on a subset of the SMART-101 training set. …

… word machine intelligence (MI) to artificial intelligence (AI). Artificial intelligence theory and
practice are contributing to the development of a broad variety of artificially intelligent tools. …

… This article proposes a smart seawater aquarium system based on AIoT technology to lower
… This smart seawater aquarium system can automatically or manually adjust water quality, …

… vision. Hence, to fulfil the vision of smart worlds/ requirements, artificial intelligence, and …
Hence, this section discusses about artificial intelligence, data mining and machine learning as …

… intervention in smart factories. From this perspective, the proposed machine vision model in
this … Today, machine vision, which is a relevant subfield of artificial intelligence [7], allows the …

… learning system uses the smart contactless camera. This … the IR code using the smart
application. The advantage of the … the person using an IoT smart camera. Further analysis was …

… forces behind the massive increase in the use of sensors, Artificial Intelligence (AI), and
machine learning techniques to identify, analyse, predict, and classify medical data [12,13,14]. …