Overview
- Presents the proceedings of four conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20)
- Includes the tracks on Image Processing, Computer Vision, & Pattern Recognition, Health Informatics & Medical Systems, Bioinformatics, Computational Biology & Biomedical Engineering
- Features papers from IPCV'20, HIMS'20, BIOCOMP'20, and BIOENG'20
Part of the book series: Transactions on Computational Science and Computational Intelligence (TRACOSCI)
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Table of contents (68 papers)
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Imaging Science and Applications of Deep Learning and Convolutional Neural Network
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Imaging Science – Detection, Recognition, and Tracking Methods
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Image Processing and Computer Vision – Novel Algorithms and Applications
Keywords
About this book
The book presents the proceedings of four conferences: The 24th International Conference on Image Processing, Computer Vision, & Pattern Recognition (IPCV'20), The 6th International Conference on Health Informatics and Medical Systems (HIMS'20), The 21st International Conference on Bioinformatics & Computational Biology (BIOCOMP'20), and The 6th International Conference on Biomedical Engineering and Sciences (BIOENG'20). The conferences took place in Las Vegas, NV, USA, July 27-30, 2020, and are part of the larger 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20), which features 20 major tracks. Authors include academics, researchers, professionals, and students.
- Presents the proceedings of four conferences as part of the 2020 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE'20);
- Includes the tracks on Image Processing, Computer Vision, & Pattern Recognition, Health Informatics &Medical Systems, Bioinformatics, Computational Biology & Biomedical Engineering;
- Features papers from IPCV'20, HIMS'20, BIOCOMP'20, and BIOENG'20.
Editors and Affiliations
About the editors
Dr. Leonidas Deligiannidis is a Professor of Computer Science at Wentworth Institute of Technology in Boston, MA. His foundation in Computer Science was first established when he earned his B.S. from Northeastern University College of Computer Science. He then went on to obtain two advanced degrees in the field from Tufts University. He has been active in the field since then, investigating subjects like Brain Computer Interfaces, Security, Business-oriented visualizations, and STEM Education. He has also served in industrial positions outside the scope of his academic work, using his acumen for several companies. His industry experience includes both entrepreneur startups in healthcare and high-tech networking companies. He has received multiple awards for his efforts, including multiple Achievement Awards for his contributions to Imaging Science by the World Congress in Computer Science, Computer Engineering, and Applied Computing, IEEE best paper awards, as well as a University Presidential award for his scholarly achievements. In addition, he has served asa referee for many journals in computer science and is a member of the program and organizing committees for notable conferences in his field.
Professor Hayaru Shouno received his Ph.D degree from Osaka University, Japan in 1999. He is a professor of the University of Electro-Communications (Japan) from 2015. His research interests include artificial intelligence, artificial neural networks, and vision. He is the chair of Technical committee of neurocomputing (NC) in the Institute of Electronics, Information and Communication Engineers (IEICE) in Japan.
Fernando G. Tinetti has a PhD in Computer Science and is a Professor at Facultad de Informatica, Universidad Nacional de La Plata, La Plata, Argentina. He is also a researcher of the Comision Investigaciones Cientificas de la Provincia de Buenos Aires, Argentina. He is a recipient of the NSF-TCPP Early Adopter Award, NSF/IEEE-TCPP, Curriculum Initiative on Parallel and Distributed Computing. He is the author/co-author of more than one hundred papers in International Journals and Computer Science Conferences. His areas of interest and experience include: High Performance Computing, Parallel and Distributed Computing, Cloud and Edge Computing, Real-Time Systems and Applications, Big Data Processing, Data Center and Infrastructure Performance Evaluation, Robotic Systems and Applications. He has co-edited a number of books in HPC.
Prof. Dr. Quoc-Nam Tran is a full professor of Computer Science at Southeastern Louisiana University (SELU). Before moving to SELU, he was the Chair of Computer Science at the University of South Dakota, the flagship university of South Dakota. His research areas include computational methods and algorithmic foundations especially the computational methods for big data analysis and high performance computing in bioinformatics. Dr. Tran is the author/editor of 70 publications including three research books published bySpringer and Elsevier. He served as the General Chair and PC members of the many international conferences. He also served as an editor for books in the Elsevier Computer Science Reviews and Trends Series. Prof. Tran has industrial experiment in the area of software tools for computational methods. He has won many awards and has chaired a number of workshops and sessions for major conferences.
Bibliographic Information
Book Title: Advances in Computer Vision and Computational Biology
Book Subtitle: Proceedings from IPCV'20, HIMS'20, BIOCOMP'20, and BIOENG'20
Editors: Hamid R. Arabnia, Leonidas Deligiannidis, Hayaru Shouno, Fernando G. Tinetti, Quoc-Nam Tran
Series Title: Transactions on Computational Science and Computational Intelligence
DOI: https://doi.org/10.1007/978-3-030-71051-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-71050-7Published: 06 August 2021
Softcover ISBN: 978-3-030-71053-8Published: 07 August 2022
eBook ISBN: 978-3-030-71051-4Published: 05 August 2021
Series ISSN: 2569-7072
Series E-ISSN: 2569-7080
Edition Number: 1
Number of Pages: XXIX, 915
Number of Illustrations: 72 b/w illustrations, 301 illustrations in colour
Topics: Communications Engineering, Networks, Biomedical Engineering and Bioengineering, Computer Imaging, Vision, Pattern Recognition and Graphics, Health Informatics, Bioinformatics