Artificial Intelligence Techniques for Advanced Computing Applications / Lecture Notes in Networks and Systems Bd.130 (PDF)
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This book features a collection of high-quality research papers presented at the International Conference on Advanced Computing Technology (ICACT 2020), held at the SRM Institute of Science and Technology, Chennai, India, on 23-24 January 2020. It covers the areas of computational intelligence, artificial intelligence, machine learning, deep learning, big data, and applications of artificial intelligence in networking, IoT and bioinformatics
Dr. G. Vadivu received her B.E. degree in CSE from IRTT, affiliated to Bharathiar University, in 1993; M.E. degree in CSE from SRM Institute of Science and Technology (formerly known as SRM University) in 2007; and her Ph.D. from SRM Institute of Science and Technology in 2013. Her research areas include big data analytics, machine learning, streaming analytics and Semantic Web. She has also been a member of the organizing committees of several international conferences. She is a member the IET, ISC, ACM-W, CSI and IEEE. She has also received funding from the Scheme for Promotion of Academic and Research Collaboration (SPARC), MHRD, to investigate the use of deep learning to identify diabetic from retina images.
M. Sangeetha received her B.E. degree in CSE from Sakthi Mariamman Engineering College, affiliated to Anna University, in 2006 and her M.E. degree from Anna University, Coimbatore, in 2010. Her research areas include machine learning, big data analytics and deep learning. She holds professionally qualifications in Big Data Visualization Tool (TABLEAU), machine learning and Python language. She has also been a member of the organizing committees of several national and international conferences. She is a member of IAENG, CSI, IEEE, ISTE, the Indian Science Congress Association and ISTE.
Valentina E. Balas is
- 2020, 1st ed. 2021, 534 Seiten, Englisch
- Herausgegeben: D. Jude Hemanth, G. Vadivu, M. Sangeetha, Valentina Emilia Balas
- Verlag: Springer-Verlag GmbH
- ISBN-10: 9811553297
- ISBN-13: 9789811553295
- Erscheinungsdatum: 23.07.2020
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- Dateiformat: PDF
- Größe: 15 MB
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