|
|
|
|
|
| Pereira,Erica M.; Nääs,Irenilza de A.; Garcia,Rodrigo G.. |
| Estimates of broiler welfare have subjective character. Nowadays, researchers seek non-invasive features or indicators that may describe this condition in animal production. The aim of this study was to identify acoustic parameters to estimate broiler welfare using the following five vocalization acoustic parameters: energy, spectral centroid, bandwidth, first formant, and second formant. The database that generated the model was obtained from a field experiment with 432 broilers, which half were Cobb® and half, Ross® breed, from day 21 to 42, containing bird vocalizations under either welfare or stress conditions. The results of the experiment generated responses to the tested conditions of gender, genetic strain, and welfare. The proposed model was based... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Signal analysis; Broiler production; Algorithm. |
| Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162014000300004 |
| |
|
| |
|
|
| Lapucci, Chiara; Rella, Marina Ampolo; Brandini, Carlo; Ganzin, Nicolas; Gozzini, Bernardo; Maselli, Fabio; Massi, Luca; Nuccio, Caterina; Ortolani, Alberto; Trees, Charles. |
| The estimation of chlorophyll concentration in marine waters is fundamental for a number of scientific and practical purposes. Standard ocean color algorithms applicable to moderate resolution imaging spectroradiometer (MODIS) imagery, such as OC3M and MedOC3, are known to overestimate chlorophyll concentration ([CHL]) in Mediterranean oligotrophic waters. The performances of these algorithms are currently evaluated together with two relatively new algorithms, OC5 and SAM_LT, which make use of more of the spectral information of MODIS data. This evaluation exercise has been carried out using in situ data collected in the North Tyrrhenian and Ligurian Seas during three recent oceanographic campaigns. The four algorithms perform differently in Case 1 and... |
| Tipo: Text |
Palavras-chave: Chlorophyll; Algorithm; Moderate resolution imaging spectroradiometer; Tyrrhenian Sea; Ligurian Sea. |
| Ano: 2012 |
URL: http://archimer.ifremer.fr/doc/00109/21991/19795.pdf |
| |
|
|
| Dinh Ngoc, Dat; Loisel, Hubert; Vantrepotte, Vincent; Chu Xuan, Huy; Nguyen Minh, Ngoc; Verpoorter, Charles; Meriaux, Xavier; Thi Minh, Hanh Pham; Le Thi, Huong; Le Vu Hong, Hai; Nguyen Van, Thao. |
| VNREDSat-1 is the first Vietnamese satellite enabling the survey of environmental parameters such as vegetation and water coverages, or surface water quality at medium spatial resolution (from 2.5 to 10 meters depending on the considered channel). The NAOMI sensor on board VNREDSat-1 has the required spectral bands to assess the suspended particulate matter concentration, SPM. Because recent studies have shown that the remote sensing reflectance, Rrs(ƒÜ), at the blue (450 ¡V 520 nm), green (530 ¡V 600 nm), and red (620 ¡V 690 nm) spectral bands can be assessed from NAOMI with a good accuracy, the present study is dedicated to the development and validation of an algorithm (hereafter referred to as V1SPM) to assess SPM from Rrs(ƒÜ) over inland and coastal... |
| Tipo: Text |
Palavras-chave: VNREDSat-1/NAOMI; Landsat-8/OLI; Suspended particulate matter; Algorithm. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00648/76043/76979.pdf |
| |
|
| |
|
|
| Ganganagowder,Narendra Veernagouda; Kamath,Priya. |
| Abstract The aim of this research is to build a supervised intelligent classification model of food products such as Biscuits, Cereals, Vegetables, Edible nuts and etc., using digital images. The Correlation-based Feature Selection (CFS) algorithm and 2nd derivative pre-treatments of the Morphological, Colour and Texture features are used to train the models for classification and detection. The best prediction accuracy is obtained for the Multilayer Perceptron (MLP), Support Vector Machines (SVM), Random Forest (RF), Simple Logistic (SLOG) and Sequential Minimal Optimization (SMO) classifiers (more than 80% of the success rate for the training/test set and 80% for the validation set). The percentage of correctly classified instances is very high in these... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Algorithm; Digital images; Food classifiers; Prediction accuracy; Training/test. |
| Ano: 2017 |
URL: http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0120-28122017000400486 |
| |
|
|
| Barreto,A.M.E.C.; Takei,K.; E.C.,Sabino; Bellesa,M.A.O.; Salles,N.A.; Barreto,C.C.; Nishiya,A.S.; Chamone,D.F.. |
| We compared the cost-benefit of two algorithms, recently proposed by the Centers for Disease Control and Prevention, USA, with the conventional one, the most appropriate for the diagnosis of hepatitis C virus (HCV) infection in the Brazilian population. Serum samples were obtained from 517 ELISA-positive or -inconclusive blood donors who had returned to Fundação Pró-Sangue/Hemocentro de São Paulo to confirm previous results. Algorithm A was based on signal-to-cut-off (s/co) ratio of ELISA anti-HCV samples that show s/co ratio ³95% concordance with immunoblot (IB) positivity. For algorithm B, reflex nucleic acid amplification testing by PCR was required for ELISA-positive or -inconclusive samples and IB for PCR-negative samples. For algorithm C, all... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Hepatitis C virus; Immunoblot; ELISA; Polymerase chain reaction; Algorithm; Diagnosis. |
| Ano: 2008 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2008000200009 |
| |
|
|
|
