… response can only be mounted by using intelligence derived from a variety of data sources
… addressed by recent developments in machine learning (ML) and artificial intelligence (AI). …

… The string ‘(((pulmonary) OR respiratory)) AND ((artificial intelligence) OR machine learning)’
was used in PubMed as a search strategy. The majority of studies identified corresponded …

… , and Deep Learning are referred artificial intelligence. Since artificial intelligence has … clinical
data is done through machine learning/artificial intelligence platforms. These systems have …

… (teaching and learning) issues can be addressed as well as organisational ones. Thus,
critical concepts of the paper refer to artificial intelligence, machine learning, e-learning and …

There has been a surge of interest in artificial intelligence and machine learning (AI/ML)-based
medical devices. However, it is poorly understood how and which AI/ML-based medical …

Security is one of the biggest challenges concerning networks and communications. The
problem becomes aggravated with the proliferation of wireless devices. Artificial Intelligence (AI…

Artificial intelligence (AI) is the field of computer science that aims to build smart devices …
currently require human intelligence. Through machine learning (ML), the deep learning (DL) …

… Due to its potential to generate favorable outcomes in diverse sectors and industries, Artificial
Intelligence (AI), and especially Machine Learning (ML), is attracting widespread attention. …

… Artificial intelligence (AI) is a kind of technology that endows the machine with certain
intelligence so that the machine … decades, we mainly focus on machine learning (ML), a recently …

… Artificial Intelligence (AI) and Machine Learning (ML) — a branch of AI — have recently
emerged as key technologies for enabling demand-side response. AI methods can be used to …