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Pallavi Vijay Chavan

Pallavi Vijay ChavanDr. Pallavi Vijay Chavan is Associate Professor in the Department of Information Technology, RAIT, D. Y. Patil Deemed to be University, NERUL, Navi Mumbai, India. During her 20-year carrier, she has worked on a variety of research topics, including Vsual Cryptography, Image Processing, Intelligent Systems, Machine Learning and Analytics. She has taught core subjects at the undergrad level including DBMS, Theory of Computation, Artificial Neural Networks, and Soft Computing. Dr. Chavan is the author of dozens of research papers in international journals and conferences, including Springer, Elsevier, Inderscience and IEEE. Dr. Chavan is recipient of research grants from Mumbai University and is a member of ACM and ISTE. Dr. Chavan is the author of Automata Theory and Formal Languages from Elsevier Academic Press. Read More Read Less

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1.
Predictive Analytics with SAS and R
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AED202
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Release:
28 Jan 2025
Language:
English
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2.
Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
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Blockchain Essentials
Publisher: Apress
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AED181
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Release:
06 Jan 2024
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Data Science
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AED275
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Paperback
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19 Dec 2024
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English
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Automata Theory and Formal Languages
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AED615
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Release:
12 May 2023
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Semantic Intelligent Computing and Applications
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Data Science
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AED729
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Release:
15 Aug 2022
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9.
Decision Systems
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28 Jul 2025
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English
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10.
Intelligent Solutions for Cognitive Disorders
Publisher: IGI Global
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AED1,443
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14 Feb 2024
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11.
Intelligent Solutions for Cognitive Disorders
Publisher: IGI Global
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AED1,443
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14 Feb 2024
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Intelligent Solutions for Cognitive Disorders
Publisher: IGI Global
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AED1,727
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SA
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14 Feb 2024
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13.
Semantic Intelligent Computing and Applications
Publisher: De Gruyter
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AED87
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18 Dec 2023
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Semantic Intelligent Computing and Applications
Publisher: De Gruyter
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AED896
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18 Dec 2023
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15.
Data Science
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AED257
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15 Aug 2022
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Data Science
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AED147
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15 Aug 2022
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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
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Design of Intelligent Applications using Machine Learning and Deep Learning Techniques
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