… Due to the complexity of the numerical simulation of flow and/or water quality, there is an
increasing demand to integrate artificial intelligence (AI) with these mathematical models in …

… Tlic key cliallcngcs in data integration arise becarise the data … As a result, a data integration
system requires rich … techniques from Artificial Intclligcnce to the prol)lern of data integration. …

… Artificial intelligence (AI) is finding more uses in the human society resulting in a need to …
cognitive intelligence in a human could interface with the artificial cognitive intelligence of a …

… and implemented in many fields is artificial intelligence. Artificial intelligence (AI) is
software which can think intelligently, similar to how an intelligent human thinks. Based on few …

… The comprehensive analysis of the data quality challenges for artificial intelligence presented
in this article underscores the importance of understanding and addressing data quality …

Advancements in computer vision and artificial intelligence (AI) carry the potential to make
significant contributions to health care, particularly in diagnostic specialties such as radiology …

… the IOT with rapidly advanced Artificial Intelligence (AI) technology. The integration of these
… Artificial Intelligence employed to create such intelligent applications and network solutions …

… of intelligence, the deep integration of artificial intelligence … build a deep integration
framework of artificial intelligence and … with the help of artificial intelligence technology, hoping to …

… As information technology progresses, the notion of intelligent health also gathers popularity.
By combining technologies such as the internet of things (IoT) and artificial intelligence (AI), …

… of artificial intelligence, the vital role of management information systems[7], as well as how
the integration of … of the potential integration between artificial intelligence and management …