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AI-empowered knowledge management in education
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- Book Synopsis
- This book explains basic ideas behind several methods used in artificial intelligence-based knowledge management techniques. It also shows how these techniques are applied in practical contexts in different education sectors. The book discusses AI-based knowledge management applications, AI-empowered knowledge management in primary and higher education, and technical and ethical challenges and opportunities.
- About The Author
- Sayan Chakraborty is currently working as Assistant Professor in the Department of Computer Science and Engineering at Techno International New Town, Kolkata, West Bengal, India. He has completed his Ph.D. in the Image registration from Sikkim Manipal University, Sikkim, India, in the year 2023. He has completed M.Tech. in Computer Science & Engineering, JIS College of Engineering, West Bengal, India. He also completed his B.Tech. from the same college. He has academic experience of 11 years. He has also worked as Visiting Engineer in "Global Biomedical Technologies", CA, USA, from September 2013 to June 2014. His research area includes medical image processing, nature-inspired algorithms, and machine learning-based applications. He has about 65 research papers published in international journals, book chapters, and conferences on various topics such as optimization, artificial intelligence, pattern recognition, and digital image processing. He has also worked as EditorialBoard Member in International Journal of Rough Sets and Data Analysis. He has served as Reviewer in many peer-reviewed journals and conferences. He is Senior Member of IEEE and Member of Internet Society. Bitan Misra received her B.Tech. and M.Tech. dual degree in Electronics and Telecommunication Engineering from KIIT University, Bhubaneswar, India, in 2018. She received her Ph.D. in 2022 from National Institute of Technology, Durgapur, India. She received Vice Chancellors Gold Medal during her UG for securing the highest CGPA in the university. She has published several research papers in various international journals, book chapters, and conferences. She has one copyright. She is currently working as Assistant Professor in the Department of Computer Science and Engineering at Techno International New Town, Kolkata, West Bengal, India. She has served as Reviewer in many peer-reviewed journals and conferences. She is Member of IEEE and Internet Society. Shehas also worked as Editorial Board Member in the International Journal of Ambient Computing and Intelligence (IJACI). Her main research interests include optimization techniques, deep learning, evolutionary algorithms, and soft computing techniques. She has worked as Reviewer on several national and international journals and conferences. Nilanjan Dey is Associate Professor at the Department of Computer Science and Engineering, Techno International New Town, Kolkata, India. He is Visiting Fellow at the University of Reading, UK. He also holds a position of Adjunct Professor at Ton Duc Thang University, Ho Chi Minh City, Vietnam. Previously, he held an honorary position of Visiting Scientist at Global Biomedical Technologies Inc., CA, USA (2012-2015). He was awarded his Ph.D. from Jadavpur University in 2015. He is Editor-in-Chief of the International Journal of Ambient Computing and Intelligence, IGI Global, USA. He is Series Co-editor of Springer Tracts inNature-Inspired Computing (SpringerNature), Data-Intensive Research (SpringerNature), and Advances in Ubiquitous Sensing Applications for Healthcare (Elsevier). He is Associate Editor of IET Image Processing and Editorial Board Member of Complex & Intelligent Systems, Springer Nature, Applied Soft Computing, Elsevier, etc. He is having 35 authored books and over 300 publications in the area of medical imaging, machine learning, computer-aided diagnosis, data mining, etc. He is Fellow of IETE and Senior Member of IEEE.
- Product Details
-
- ISBN
- 9789819725731
- Format
- Paperback
- Publisher
- Springer, (09 August 2024)
- Number of Pages
- 56
- Weight
- 128 grams
- Language
- English
- Dimensions
- 235 x 155 x 7 mm
- Series:
- See all books in this series
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