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Artificial Intelligence Trends for Data Analytics Using Machine
Learning and Deep Learning Approache

Inglese · Tascabile

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Descrizione

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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.


Info autore

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.

Riassunto

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.

Dettagli sul prodotto

Autori K. Gayathri (Anna University Chennai) Rath Devi
Con la collaborazione di K. Gayathri Devi (Editore), Mamata Rath (Editore), Nguyen Thi Dieu Linh (Editore)
Editore Taylor & Francis Ltd.
 
Contenuto Libro
Forma del prodotto Tascabile
Data pubblicazione 04.10.2024
Categoria Scienze umane, arte, musica > Arte > Architettura d'interni, design
Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Informatica
Guide e manuali
 
EAN 9780367549015
ISBN 978-0-367-54901-5
Numero di pagine 250
 
Serie Artificial Intelligence AI: Elementary to Advanced Practices
Categorie Artificial Intelligence, TECHNOLOGY & ENGINEERING / Industrial Engineering, TECHNOLOGY & ENGINEERING / Manufacturing, COMPUTERS / Machine Theory, TECHNOLOGY & ENGINEERING / Operations Research, Diabetic Retinopathy, Business Process, Artificial Intelligence (AI), Computational Intelligence, Databases, Supercomputers, COMPUTERS / Data Science / Data Analytics, Biomedical Signal Processing, fuzzy set, decision support systems, machine learning algorithms, Spectrum sensing, Databases / Data management, Power Consumption, ANFIS, cognitive radio security, MCDM Method, clinical image analysis, social media data mining, advanced AI decision-making applications, RBF Kernel, neuro fuzzy systems, Convolution Layer, ANFIS Architecture, Max Pooling Layer, Recurrent Layer, DEMATEL Method, ANFIS Controller, Internal Mammary Lymph Nodes, Fuzzy MCDM Method, Fundus Images, Universal Report, Auxiliary Lymph Nodes
 

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