ICDSMLA 2019 (eBook)
XXI, 1988 Seiten
Springer Singapore (Verlag)
978-981-15-1420-3 (ISBN)
This book gathers selected high-impact articles from the 1st International Conference on Data Science, Machine Learning & Applications 2019. It highlights the latest developments in the areas of Artificial Intelligence, Machine Learning, Soft Computing, Human-Computer Interaction and various data science & machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
Amit is passionate Forensic Scientist, Entrepreneur, Engineer, Bioinformatician and an IEEE Volunteer. In 2005 he founded first Private DNA Testing Company BioAxis DNA Research Centre (P) Ltd in Hyderabad, India with an US Collaborator. He has vast experience of training 1000+ Crime investigation officers and helped 750+ Criminal and non-criminal cases to reach justice by offering analytical services in his laboratory. His group also works extensively on Genetic Predisposition risk studies of cancers and has been helping many cancer patients from 2012 to fight and win the battle against cancer. Amit is member of IEEE Strategy Development and Environmental Assessment committee (SDEA) of IEEEMGA. He is senior member of IEEE and has been a very active IEEE Volunteer. With experience at Section, Council, Region and IEEE MGA levels in several capacities he has driven number of IEEE Conferences, Conference leadership programs, Entrepreneurship development workshops, Innovation and Internship related trainings. Dr. Kumar is also a Professor at SJB Research Foundation, SJB Institute of Technology, Bengaluru, Karnataka and Series Editor of Springer Briefs on Forensic and Medical Bioinformatics (FMB).
Marcin Paprzycki is an Associate Professor at the Systems Research Institute, Polish Academy of Sciences. He holds an M.S. from Adam Mickiewicz University in Pozna?, Poland, a Ph.D. from Southern Methodist University in Dallas, Texas, and a Doctor of Science from the Bulgarian Academy of Sciences. He is a senior member of the IEEE, a senior member of the ACM, a Senior Fulbright Lecturer, and an IEEE CS Distinguished Visitor. He has contributed to more than 450 publications and was invited to the program committees of over 500 international conferences. He serves on the editorial boards of 12 journals and one book series.
This book gathers selected high-impact articles from the 1st International Conference on Data Science, Machine Learning & Applications 2019. It highlights the latest developments in the areas of Artificial Intelligence, Machine Learning, Soft Computing, Human-Computer Interaction and various data science & machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.
Erscheint lt. Verlag | 19.5.2020 |
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Reihe/Serie | Lecture Notes in Electrical Engineering | Lecture Notes in Electrical Engineering |
Zusatzinfo | XXI, 1988 p. 1004 illus., 675 illus. in color. |
Sprache | englisch |
Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Mathematik / Informatik ► Mathematik ► Angewandte Mathematik | |
Mathematik / Informatik ► Mathematik ► Finanz- / Wirtschaftsmathematik | |
Technik | |
Wirtschaft | |
Schlagworte | algorithm performance • Artificial Intelligence • Artificial Neural Networks • Automation and Innovation • Data Integrity • E-Commerce • Human Computer Interaction • Internet of Things (IoT) • Medical Informatics • Multi-agent Systems • Parallel Computing • Soft Computing |
ISBN-10 | 981-15-1420-8 / 9811514208 |
ISBN-13 | 978-981-15-1420-3 / 9789811514203 |
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