Machine Learning in Aquaculture Hunger Classification of Lates calca
This book highlights the fundamental association between aquaculture and engineering in classifying fish hunger behaviour by means of machine learning techniques. Understanding the underlying factors that affect fish growth is essential, since they have i
- PDF / 3,146,566 Bytes
- 64 Pages / 439.371 x 666.143 pts Page_size
- 84 Downloads / 234 Views
Mohd Azraai Mohd Razman · Anwar P. P. Abdul Majeed · Rabiu Muazu Musa · Zahari Taha · Gian-Antonio Susto · Yukinori Mukai
Machine Learning in Aquaculture Hunger Classification of Lates calcarifer
SpringerBriefs in Applied Sciences and Technology
SpringerBriefs present concise summaries of cutting-edge research and practical applications across a wide spectrum of fields. Featuring compact volumes of 50– 125 pages, the series covers a range of content from professional to academic. Typical publications can be: • A timely report of state-of-the art methods • An introduction to or a manual for the application of mathematical or computer techniques • A bridge between new research results, as published in journal articles • A snapshot of a hot or emerging topic • An in-depth case study • A presentation of core concepts that students must understand in order to make independent contributions SpringerBriefs are characterized by fast, global electronic dissemination, standard publishing contracts, standardized manuscript preparation and formatting guidelines, and expedited production schedules. On the one hand, SpringerBriefs in Applied Sciences and Technology are devoted to the publication of fundamentals and applications within the different classical engineering disciplines as well as in interdisciplinary fields that recently emerged between these areas. On the other hand, as the boundary separating fundamental research and applied technology is more and more dissolving, this series is particularly open to trans-disciplinary topics between fundamental science and engineering. Indexed by EI-Compendex, SCOPUS and Springerlink.
More information about this series at http://www.springer.com/series/8884
Mohd Azraai Mohd Razman Anwar P. P. Abdul Majeed Rabiu Muazu Musa Zahari Taha Gian-Antonio Susto Yukinori Mukai •
•
•
•
•
Machine Learning in Aquaculture Hunger Classification of Lates calcarifer
123
Mohd Azraai Mohd Razman Faculty of Manufacturing and Mechatronics Engineering Technology Universiti Malaysia Pahang Pekan, Pahang Darul Makmur, Malaysia
Anwar P. P. Abdul Majeed Faculty of Manufacturing and Mechatronics Engineering Technology Universiti Malaysia Pahang Pekan, Pahang Darul Makmur, Malaysia
Rabiu Muazu Musa Centre for Fundamental and Continuing Education, Department of Credited Co-curriculum Universiti Malaysia Terengganu Terengganu, Malaysia
Zahari Taha Faculty of Manufacturing and Mechatronics Engineering Technology Universiti Malaysia Pahang Pekan, Pahang Darul Makmur, Malaysia
Gian-Antonio Susto Department of Information Engineering University of Padua Padua, Italy
Yukinori Mukai Department of Marine Science International Islamic University Malaysia Kuantan, Malaysia
ISSN 2191-530X ISSN 2191-5318 (electronic) SpringerBriefs in Applied Sciences and Technology ISBN 978-981-15-2236-9 ISBN 978-981-15-2237-6 (eBook) https://doi.org/10.1007/978-981-15-2237-6 © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020 This work is subject to copyright. All rights are solely and
Data Loading...
