1 resultado para Neural networks (Computer sicence)
em Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT)
Filtro por publicador
- ABACUS. Repositorio de Producción Científica - Universidad Europea (1)
- Aberdeen University (1)
- Aberystwyth University Repository - Reino Unido (6)
- Acceda, el repositorio institucional de la Universidad de Las Palmas de Gran Canaria. España (2)
- AMS Tesi di Laurea - Alm@DL - Università di Bologna (2)
- Aquatic Commons (4)
- Archivo Digital para la Docencia y la Investigación - Repositorio Institucional de la Universidad del País Vasco (3)
- Aston University Research Archive (53)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (6)
- Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP) (15)
- Biblioteca Digital de Teses e Dissertações Eletrônicas da UERJ (1)
- BORIS: Bern Open Repository and Information System - Berna - Suiça (14)
- Boston University Digital Common (27)
- Brock University, Canada (3)
- Bucknell University Digital Commons - Pensilvania - USA (1)
- Bulgarian Digital Mathematics Library at IMI-BAS (21)
- CaltechTHESIS (1)
- Cambridge University Engineering Department Publications Database (56)
- CentAUR: Central Archive University of Reading - UK (98)
- Chinese Academy of Sciences Institutional Repositories Grid Portal (43)
- Cochin University of Science & Technology (CUSAT), India (10)
- Coffee Science - Universidade Federal de Lavras (1)
- CORA - Cork Open Research Archive - University College Cork - Ireland (1)
- Corvinus Research Archive - The institutional repository for the Corvinus University of Budapest (2)
- CUNY Academic Works (1)
- Dalarna University College Electronic Archive (2)
- Department of Computer Science E-Repository - King's College London, Strand, London (2)
- Digital Commons - Michigan Tech (1)
- Digital Commons at Florida International University (8)
- Digital Peer Publishing (7)
- Doria (National Library of Finland DSpace Services) - National Library of Finland, Finland (1)
- DRUM (Digital Repository at the University of Maryland) (2)
- Duke University (4)
- Greenwich Academic Literature Archive - UK (3)
- Helda - Digital Repository of University of Helsinki (4)
- Indian Institute of Science - Bangalore - Índia (42)
- Instituto Politécnico do Porto, Portugal (9)
- Massachusetts Institute of Technology (6)
- Memorial University Research Repository (1)
- National Center for Biotechnology Information - NCBI (3)
- Nottingham eTheses (2)
- Plymouth Marine Science Electronic Archive (PlyMSEA) (1)
- QUB Research Portal - Research Directory and Institutional Repository for Queen's University Belfast (75)
- Queensland University of Technology - ePrints Archive (83)
- Repositório Alice (Acesso Livre à Informação Científica da Embrapa / Repository Open Access to Scientific Information from Embrapa) (1)
- Repositório Científico da Universidade de Évora - Portugal (1)
- Repositório Científico do Instituto Politécnico de Lisboa - Portugal (2)
- Repositorio de la Universidad del Pacífico - PERU (1)
- Repositório Institucional da Universidade de Aveiro - Portugal (1)
- Repositório Institucional da Universidade Federal do Rio Grande do Norte (1)
- Repositório Institucional da Universidade Tecnológica Federal do Paraná (RIUT) (1)
- Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho" (88)
- Repositorio Institucional Universidad EAFIT - Medelin - Colombia (2)
- Research Open Access Repository of the University of East London. (5)
- RUN (Repositório da Universidade Nova de Lisboa) - FCT (Faculdade de Cienecias e Technologia), Universidade Nova de Lisboa (UNL), Portugal (2)
- SAPIENTIA - Universidade do Algarve - Portugal (26)
- SerWisS - Server für Wissenschaftliche Schriften der Fachhochschule Hannover (1)
- Universidad de Alicante (6)
- Universidad del Rosario, Colombia (2)
- Universidad Politécnica de Madrid (29)
- Universidade Estadual Paulista "Júlio de Mesquita Filho" (UNESP) (1)
- Universidade Federal do Pará (1)
- Universidade Federal do Rio Grande do Norte (UFRN) (5)
- Universitat de Girona, Spain (5)
- Universitätsbibliothek Kassel, Universität Kassel, Germany (6)
- Université de Montréal (1)
- Université de Montréal, Canada (12)
- University of Michigan (1)
- University of Queensland eSpace - Australia (23)
- University of Southampton, United Kingdom (1)
- University of Washington (1)
- WestminsterResearch - UK (2)
Resumo:
Physiologists and animal scientists try to understand the relationship between ruminants and their environment. The knowledge about feeding behavior of these animals is the key to maximize the production of meat and milk and their derivatives and ensure animal welfare. Within the area called precision farming, one of the goals is to find a model that describes animal nutrition. Existing methods for determining the consumption and ingestive patterns are often time-consuming and imprecise. Therefore, an accurate and less laborious method may be relevant for feeding behaviour recognition. Surface electromyography (sEMG) is able to provide information of muscle activity. Through sEMG of the muscles of mastication, coupled with instrumentation techniques, signal processing and data classification, it is possible to extract the variables of interest that describe chewing activity. This work presents a new method for chewing pattern evaluation, feed intake prediction and for the determination of rumination, food and daily rest time through ruminant animals masseter muscle sEMG signals. Short-term evaluation results are shown and discussed, evidencing employed methods viability.