Fourth International Conference on Image Processing and Capsule Networks: ICIPCN 2023 (Lecture Notes in Networks and Systems, 798)
Language: English
Published by Springer, 2023
- Softcover
- Used

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- Title
- Fourth International Conference on Image Processing and Capsule Networks: ICIPCN 2023 (Lecture Notes in Networks and Systems, 798)
- Publisher
- Springer
- Publication year
- 2023
- Condition
- Acceptable
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 981997092X
- ISBN 13
- 9789819970926
- Item weight
- 47.44 ounces
This book includes high-quality research papers presented at the Fourth International Conference on Image Processing and Capsule Networks (ICIPCN 2023), which is held in Bangkok, Thailand, during 10–11 August 2023. This book provides a collection of the state-of-the-art research attempts to tackle the challenges in image and signal processing from various novel and potential research perspectives. The book investigates feature extraction techniques, image enhancement methods, reconstruction models, object detection methods, recommendation models, deep and temporal feature analysis, intelligent decision support systems, and autonomous image detection models. In addition to this, the book also looks into the potential opportunities to monitor and control the global pandemic situations.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Prof. Subarna Shakya is currently a professor of Computer Engineering, Department of Electronics and Computer Engineering, Central Campus, Institute of Engineering, Pulchowk, Tribhuvan University, Coordinator (IOE), LEADER Project (Links in Europe and Asia for Engineering, eDucation, Enterprise, and Research Exchanges), ERASMUS MUNDUS. He received M.Sc. and Ph.D. degrees in Computer Engineering from the Lviv Polytechnic National University, Ukraine, 1996 and 2000. respectively. His research area includes e-government system, computer systems and simulation, distributed and cloud computing, software engineering and information system, computer architecture, information security for e-government, and multimedia system.
João Tavares is a co-editor of more than 55 books and co-author of more than 50 book chapters, 650 articles in international and national journals and conferences, and 3 international and 3 national patents. He has been a committee member of several international and national journals and conferences, is co-founder and co-editor of the book series “Lecture Notes in Computational Vision and Biomechanics” published by Springer, founder and editor-in-chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization” published by Taylor & Francis, editor-in-chief of the journal “Computer Methods in Biomechanics and Biomedical Engineering” published by Taylor & Francis, and co-founder and co-chair of the international conference series: CompIMAGE, ECCOMAS VipIMAGE, ICCEBS and BioDental. Additionally, he has been a (co-)supervisor of several M.Sc. and Ph.D. thesis and supervisor of several post-doc projects and has participated in many scientific projects both as researcher and as scientific coordinator.
George A. Papakostas received the Diploma degree in electrical and computer engineering in 1999 and the M.Sc. and Ph.D. degrees in electrical and computer engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. From 2007 to 2010, he served as an adjunct lecturer with the Department of Production Engineering and Management, DUTH. He currently serves as an adjunct assistant professor with the Department of Computer and Informatics Engineering, Technological Educational Institution, Eastern Macedonia and Thrace, Greece. In 2012, he was elected as a full professorin the aforementioned Department of Computer and Informatics Engineering. He has co-authored more than 70 publications in indexed journals, international conferences, and book chapters. His research interests include pattern recognition, computer/machine vision, computational intelligence, machine learning, feature extraction, evolutionary optimization, and signal and image processing.
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