Machine Learning and Deep Learning in Real-Time Applications

Mehul Mahrishi (Redaktør), Kamal Kant Hiran (Redaktør), Gaurav M (Redaktør), Paawan Sharma (Redaktør)

Publikation: Bog/antologi/afhandling/rapportBogForskningpeer review

25 Citationer (Scopus)

Abstract

Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that have proven to be vital solutions to numerous real-world issues are machine learning and deep learning. These intelligent agents unlock higher levels of performance and efficiency, creating a wide span of industrial applications. However, there is a lack of research on the specific uses of machine/deep learning in the professional realm.
Machine Learning and Deep Learning in Real-Time Applications provides emerging research exploring the theoretical and practical aspects of machine learning and deep learning and their implementations as well as their ability to solve real-world problems within several professional disciplines including healthcare, business, and computer science. Featuring coverage on a broad range of topics such as image processing, medical improvements, and smart grids, this book is ideally designed for researchers, academicians, scientists, industry experts, scholars, IT professionals, engineers, and students seeking current research on the multifaceted uses and implementations of machine learning and deep learning across the globe.
OriginalsprogEngelsk
UdgivelsesstedUSA
ForlagIGI global
Antal sider344
ISBN (Trykt)9781799830955, 9781799830962
ISBN (Elektronisk)9781799830979
DOI
StatusUdgivet - 10 apr. 2020

Fingeraftryk

Dyk ned i forskningsemnerne om 'Machine Learning and Deep Learning in Real-Time Applications'. Sammen danner de et unikt fingeraftryk.

Citationsformater