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A pattern recognition approach for detecting and classifying jaw movements in grazing cattle
(Elsevier, 2018-02)
Precision livestock farming is a multidisciplinary science that aims to manage individual animals by continuous real-time monitoring their health and welfare. Estimation of forage intake and monitoring the feeding behavior ...
Body condition estimation on cows from depth images using Convolutional Neural Networks
(Elsevier, 2018-12)
BCS (“Body Condition Score”) is a method used to estimate body fat reserves and accumulated energy balance of cows. BCS heavily influences milk production, reproduction, and health of cows. Therefore, it is important to ...
Grapevine buds detection and localization in 3D space based on Structure from Motion and 2D image classification
(Elsevier Science, 2018-08)
In viticulture, there are several applications where 3D bud detection and localization in vineyards is a necessary task susceptible to automation: measurement of sunlight exposure, autonomous pruning, bud counting, type-of-bud ...
HMMER cut-off threshold tool (HMMERCTTER): Supervised classification of superfamily protein sequences with a reliable cut-off threshold
(Public Library of Science, 2018-03)
Background: Protein superfamilies can be divided into subfamilies of proteins with different functional characteristics. Their sequences can be classified hierarchically, which is part of sequence function assignation. ...
A Logic Programming Approach to Predict Enterprise-Targeted Cyberattacks
(Springer Nature Switzerland AG, 2020)
Although cybersecurity research has demonstrated that many of the recent cyberattacks targeting real-world organizations could have been avoided, proactively identifying and systematically understanding when and why those ...
Automatic detection of building typology using deep learning methods on street level images
(PERGAMON-ELSEVIER SCIENCE LTDUniversidad EAFIT. Departamento de Ingeniería Mecánica, 2020-03-20)
An exposure model is a key component for assessing potential human and economic losses from natural disasters. An exposure model consists of a spatially disaggregated description of the infrastructure and population of a ...
Automatic detection of building typology using deep learning methods on street level images
(PERGAMON-ELSEVIER SCIENCE LTD, 2020-03-20)
An exposure model is a key component for assessing potential human and economic losses from natural disasters. An exposure model consists of a spatially disaggregated description of the infrastructure and population of a ...
A flexible supervised term-weighting technique and its application to variable extraction and information retrieval
(Iberamia, 2019-02)
Successful modeling and prediction depend on effective methods for the extraction of domain-relevant variables. This paper proposes a methodology for identifying domain-specific terms. The proposed methodology relies on a ...
Monitoring behavior and its related energy expenditure of a desert goat through inertial and heart rate sensors
(Polish Academy of Sciences, 2021-06)
Monitoring behavior of grazing animals offers great potential to improve livestock management. However, few technologies are capable of collecting data and a limited number of methods may be used to classify these data and ...