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Monitoring and classifying animal behavior using ZigBee-based mobile ad hoc wireless sensor networks and artificial neural networks
Institution:1. Faculty of Engineering, University of Southern Denmark, Niels Bohrs Alle 1, 5230 Odense, Denmark;2. Faculty of Life Sciences, University of Copenhagen, Copenhagen, Denmark;1. Graphical Expression Department, Technical University of Cartagena, Cartagena 30202, Spain;2. Engineering Department, Miguel Hernández University of Elche, Orihuela 03312, Spain;3. Engineering and Agricultural Equipment Department, Technical University of Cartagena, Cartagena 30203, Spain;1. Department of Information Technology, Ghent University/imec, Technologiepark-Zwijnaarde 15, 9052 Ghent, Belgium;2. Flanders Research Institute for Agriculture, Fisheries and Food (ILVO), Animal Sciences Unit, Scheldeweg 68, 9090 Melle, Belgium;3. Faculty of Engineering Technology, DraMCo Research Group, ESAT, KU Leuven, Ghent, Belgium;4. Department of Nutrition, Genetics and Ethology, Faculty of Veterinary Medicine, Heidestraat 19, B-9820 Merelbeke, Belgium;5. Department of Animal Production, Faculty of Bioscience Engineering, Ghent University, Coupure links 653, B-9000 Ghent, Belgium;1. Laboratory of Animal Husbandry Resources, Division of Applied Biosciences, Graduate School of Agriculture, Kyoto University, Kitashirakawa-oiwake-cho, Sakyo-ku, Kyoto, 606 8502 Kyoto, Japan;2. Division of Grassland Farming, Institute of Livestock and Grassland Science, National Agriculture and Food Research Organization (NARO), Nasushiobara, 329–2793 Tochigi, Japan
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