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

Herausgeber: Devi, K. Gayathri; Linh, Nguyen Thi Dieu; Rath, Mamata

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• Artificial Intelligence AI: Elementary to Advanced Practices
• Verlag: Taylor & Francis Ltd
• Seitenzahl: 268
• Erscheinungstermin: 8. Oktober 2020
• Englisch
• Abmessung: 240mm x 161mm x 19mm
• Gewicht: 546g
• ISBN-13: 9780367417277
• ISBN-10: 0367417278
• Artikelnr.: 60004886

Autorenporträt

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.

Inhaltsangabe

1. An Artificial Intelligence System Based Power Estimation Method for CMOS
VLSI Circuits 2. Awareness Alert and Information Analysis in Social Media
Networking Using Usage Analysis and Negotiable Approach 3. Object Detection
and Tracking in Video Using Deep Learning Techniques: A Review 4. Fuzzy
MCDM: Application in Disease Risk and Prediction 5. Deep Learning Approach
to Predict and Grade Glaucoma from Fundus Images through Constitutional
Neural Networks 6. A Novel Method for Securing Cognitive Radio
Communication Network Using the Machine Learning Schemes and a Rule Based
Approaches 7. Detection of Retinopathy of Prematurity Using Convolution
Neural Network 8. Impact of Technology on Human Resource Information System
and Achieving Business Intelligence in Organizations 9. Proficient
Prediction of Acute Lymphoblastic Leukemia Using Machine Learning Algorithm
10. Role of Machine Learning in Social Area Networks 11. Breast Cancer and
Machine Learning: Interactive Breast Cancer Prediction Using Naïve Bayes
Algorithm 12. Deep Networks and Deep Learning Algorithms 13. Machine
Learning for Big Data Analytics, Interactive and Reinforcement 14. Fish
Farm Monitoring System Using IoT and Machine Learning