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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches - Couverture rigide
Synopsis
This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
K. Gayathri Devi has 20 years of experience as a professor in the Department of Electronics and Communication Engineering, Dr. N.G.P Institute of Technology, Tamil Nadu, India. She has published papers in national and international journals and conferences. She has published patents. She is the reviewer of many SCI and Scopus indexed journals. She has received many proficiency awards and grants, and is a topper in the NPTEL online certification examination. She is the life member of ISTE, International Association of Engineers and Institute of Research Engineers and Doctors. Her research interests include Medical Image Processing, Internet of Things, Artificial Intelligence, and Embedded Systems.
Mamata Rath has about 13 years of experience as an assistant professor. She has many research publications, including SCI, Scopus, dblp, and Web of Science indexing in different international journal and conferences. Her research interests include Information Systems, Wireless Networks, Internet of Things, Computer Security, Real Time Systems, Ubiquitous Computing, Big Data and Artificial Intelligence. Currently she is an assistant professor of Information Technology at Birla Global University, Odisha, India.
Nguyen Thi Dieu Linh has more than 18 years of academic experience in electronics, IoT, Telecommunication, Big Data, and Artificial Intelligence. She has published more than 15 research articles in national and international journals, books, and conference proceedings. She is reviewer for Information Technology Journal, Mobile Networks and Applications Journal, and some international conferences. Now she is a head of Department of Electronics and Telecommunication Engineering, Faculty of Electronics Engineering, Hanoi University of Industry (HaUI), Vietnam.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurCRC Press
- Date d'édition2020
- ISBN 10 0367417278
- ISBN 13 9780367417277
- ReliureRelié
- Langueanglais
- Nombre de pages266
- ÉditeurDevi K. Gayathri, Rath Mamata, Linh Nguyen Thi Dieu
- Coordonnées du fabricantnon disponible
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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches (Artificial Intelligence (AI): Elementary to Advanced Practices)
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CRC Press, 2021
ISBN 10 : 0367417278
ISBN 13 : 9780367417277
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ARTIFICIAL INTELLIGENCE TRENDS FOR DATA
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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches
Edité par
CRC Press, 2020
ISBN 10 : 0367417278
ISBN 13 : 9780367417277
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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches
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CRC Press, 2020
ISBN 10 : 0367417278
ISBN 13 : 9780367417277
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Etat : New. K. Gayathri Devi has 20 years of experience as a professor in the Department of Electronics and Communication Engineering, Dr. N.G.P Institute of Technology, Tamil Nadu, India. She has published papers in national and international journ. N° de réf. du vendeur 395498828
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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches (Artificial Intelligence AI: Elementary to Advanced Practices)
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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications today. This book focuses on the implementation of various elementary and advanced approaches in AI that can be used in various domains to solve real-time decision-making problems.The book focuses on concepts and techniques used to run tasks in an automated manner. It discusses computational intelligence in the detection and diagnosis of clinical and biomedical images, covers the automation of a system through machine learning and deep learning approaches, presents data analytics and mining for decision-support applications, and includes case-based reasoning, natural language processing, computer vision, and AI approaches in real-time applications.Academic scientists, researchers, and students in the various domains of computer science engineering, electronics and communication engineering, and information technology, as well as industrial engineers, biomedical engineers, and management, will find this book useful. By the end of this book, you will understand the fundamentals of AI. Various case studies will develop your adaptive thinking to solve real-time AI problems.FeaturesIncludes AI-based decision-making approachesDiscusses computational intelligence in the detection and diagnosis of clinical and biomedical imagesCovers automation of systems through machine learning and deep learning approaches and its implications to the real worldPresents data analytics and mining for decision-support applicationsOffers case-based reasoning. N° de réf. du vendeur 9780367417277
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