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| Registros recuperados: 39 | |
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| SCHIKOWSKI,ANA B.; CORTE,ANA P.D.; RUZA,MARIELI S.; SANQUETTA,CARLOS R.; MONTAÑO,RAZER A.N.R.. |
| Abstract Taper functions and volume equations are essential for estimation of the individual volume, which have consolidated theory. On the other hand, mathematical innovation is dynamic, and may improve the forestry modeling. The objective was analyzing the accuracy of machine learning (ML) techniques in relation to a volumetric model and a taper function for acácia negra. We used cubing data, and fit equations with Schumacher and Hall volumetric model and with Hradetzky taper function, compared to the algorithms: k nearest neighbor (k-NN), Random Forest (RF) and Artificial Neural Networks (ANN) for estimation of total volume and diameter to the relative height. Models were ranked according to error statistics, as well as their dispersion was verified.... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Artificial intelligence; Data mining; Random forest; ANN. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652018000703389 |
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| Dota,Mara Andrea; Cugnasca,Carlos Eduardo; Barbosa,Domingos Sávio. |
| Agriculture, roads, animal farms and other land uses may modify the water quality from rivers, dams and other surface freshwaters. In the control of the ecological process and for environmental management, it is necessary to quickly and accurately identify surface water contamination (in areas such as rivers and dams) with contaminated runoff waters coming, for example, from cultivation and urban areas. This paper presents a comparative analysis of different classification algorithms applied to the data collected from a sample of soil-contaminated water aiming to identify if the water quality classification proposed in this research agrees with reality. The sample was part of a laboratory experiment, which began with a sample of treated water added with... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Environmentalcontrol; Runoff; Wireless sensor networks; Machine learning; Data mining. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782015000200267 |
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| Riaño Pachón, Diego Mauricio; González Estrada, Elizabeth; Alexa, Adrian; Ramírez, Fidel; Vischi Winck, Flavia; Gómez Merino, Fernando, Coord.; Silva Rojas, Hilda Victoria, Coord.; Pérez Rodríguez, Paulino, Coord.. |
| En esta publicación intitulada “Bioinformática: aplicaciones a la genómica y proteómica” se detallan algunos de los avances más sobresalientes de los temas de genómica y proteómica, derivados de un curso internacional sobre el tema, organizado por el Colegio de Postgraduados. Estos avances incluyen aspectos de las dos ciencias ómicas, incluyendo genómica y biología estructural, código R, análisis comparativo y evolución, agrupamiento y minería de datos en R, redes de interacciones entre proteínas y proteómica bioinformática. BIOINFORMATICS : APPLICATIONS TO GENOMICS AND PROTEOMICS. ABSTRACT : In this publication entitled "Bioinformatics: applications to genomics and proteomics" are some of the most salient issues of genomics and proteomics, derived from an... |
| Tipo: Libro |
Palavras-chave: Bioinformática; Proteómica; Genómica; ADN; Proteínas; Modelación; Simulación; Análisis de genómas; Biología estructural; Código R; Análisis comparativo; Minería de datos; Computación aplicada; Bioinformatics; Proteomics; DNA; Proteins; Models; Genomics; Simulation; R Code; Data mining; Computing; Genome analysis. |
| Ano: 2010 |
URL: http://hdl.handle.net/10521/313 |
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| Prudente,Victor H. R.; Silva,Bruno B. da; Johann,Jerry A.; Mercante,Erivelto; Oldoni,Lucas V.. |
| ABSTRACT: The traditional per-pixel classification methods consider only spectral information, and may be limited. Object-based classifiers, however, also consider shape and texture, firstly segmenting the image, and then classifying individual objects. Thus, a Geographic Object-Based Image Analysis (GEOBIA) was compared in conjunction with data mining techniques and a traditional per-pixel method. A cut of Landsat-8, bands 2 to 7, orbit/point 223/77, located between the municipalities of Cascavel, Corbélia, Cafelândia and Tupãssi, in the west part of the state of Paraná, from 12/18/2013 was used. In the GEOBIA approach was realized image segmentation, spatial and spectral attribute extraction, and classification using the decision tree supervised... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: GeoDMA; Data mining; Decision tree. |
| Ano: 2017 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162017000501015 |
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| Lopes,Allan R.; Marcolin,Jonatas; Johann,Jerry A.; Boas,Márcio A. Vilas; Schuelter,Adilson R.. |
| ABSTRACT The aim of this study is to identify homogeneous rainfall zones in the winter and summer 1st and 2nd crops, in the state of Paraná, Brazil. The zones were defined by clustering using the expectation-maximization (EM) algorithm to transform seasonal rainfall series. Monthly average rainfall data collected from 157 weather stations for 20 years (1996 to 2015) were employed. The results show that the number of homogeneous zones varied among growing seasons. The summer crop presented two clusters, with rainfall averages of 1489 and 1925 mm; the second crop presented four clusters, with averages of 1849, 1004, 1454, and 1182 mm; and the winter crop had three clusters, with averages of 969, 1498, and 1171 mm. Clustering was a useful instrument to... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Data mining; Clusters; Expectation-maximization; Weka; Soybean; Maize; Wheat. |
| Ano: 2019 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000600707 |
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| Quecini,Vera. |
| Studies employing model species have elucidated several aspects of photoperception and light signal transduction that control plant development. However, the information available for economically important crops is scarce. Citrus genome databases of expressed sequence tags (EST) were investigated in order to identify genes coding for functionally characterized proteins responsible for light-regulated developmental control in model plants. Approximately 176,200 EST sequences from 53 libraries were queried and all bona fide and putative photoreceptor gene families were found in citrus species. We have identified 53 orthologs for several families of transcriptional regulators and cytoplasmic proteins mediating photoreceptor-induced responses although some... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Cryptochrome; Data mining; Light signaling; Phototropin; Phytochrome. |
| Ano: 2007 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572007000500007 |
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| Bouktila,Dhia; Khalfallah,Yosra; Habachi-Houimli,Yosra; Mezghani-Khemakhem,Maha; Makni,Mohamed; Makni,Hanem. |
| Proteins containing nucleotide binding sites (NBS) encoded by plant resistance genes play an important role in the response of plants to a wide array of pathogens. In this paper, an in silico search was conducted in order to identify and characterize members of NBS-encoding gene family in the tribe of Triticeae. A final dataset of 199 sequences was obtained by four search methods. Motif analysis confirmed the general structural organization of the NBS domain in cereals, characterized by the presence of the six commonly conserved motifs: P-loop, RNBS-A, Kinase-2, Kinase-3a, RNBS-C and GLPL. We revealed the existence of 11 distinct distribution patterns of these motifs along the NBS domain. Four additional conserved motifs were shown to be significantly... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: NBS domain; Data mining; Phylogeny; Plant resistance genes; Triticeae. |
| Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572014000400017 |
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| Alvarenga,Samuel Mazzinghy; Caixeta,Eveline Teixeira; Hufnagel,Bárbara; Thiebaut,Flávia; Maciel-Zambolim,Eunize; Zambolimand,Laércio; Sakiyama,Ney Sussumu. |
| Sequences potentially associated with coffee resistance to diseases were identified by in silico analyses using the database of the Brazilian Coffee Genome Project (BCGP). Keywords corresponding to plant resistance mechanisms to pathogens identified in the literature were used as baits for data mining. Expressed sequence tags (ESTs) related to each of these keywords were identified with tools available in the BCGP bioinformatics platform. A total of 11,300 ESTs were mined. These ESTs were clustered and formed 979 EST-contigs with similarities to chitinases, kinases, cytochrome P450 and nucleotide binding site-leucine rich repeat (NBS-LRR) proteins, as well as with proteins related to disease resistance, pathogenesis, hypersensitivity response (HR) and... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Coffea; Data mining; ESTs; Genomics; In silico; Bioinformatics. |
| Ano: 2010 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572010000400031 |
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| Prati,Ronaldo Cristiano; Monard,Maria Carolina; Carvalho,André C. P. L. F. de. |
| The aim of data mining is to find useful knowledge inout of databases. In order to extract such knowledge, several methods can be used, among them machine learning (ML) algorithms. In this work we focus on ML algorithms that express the extracted knowledge in a symbolic form, such as rules. This representation may allow us to ''explain'' the data. Rule learning algorithms are mainly designed to induce classification rules that can predict new cases with high accuracy. However, these sorts of rules generally express common sense knowledge, resulting in many interesting and useful rules not being discovered. Furthermore, the domain independent biases, especially those related to the language used to express the induced knowledge, could induce rules that are... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Data mining; Exceptions; HIV; Protease. |
| Ano: 2004 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572004000400027 |
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| Picot, Sandy; Faury, Nicole; Arzul, Isabelle; Chollet, Bruno; Renault, Tristan; Morga, Benjamin. |
| The Pacific oyster, Crassostrea gigas, is a mollusk bivalve commercially important as a food source. Pacific oysters are subjected to stress and diseases during culture. The autophagy pathway is involved in numerous cellular processes, including responses to starvation, cell death, and microorganism elimination. Autophagy also exists in C. gigas, and plays a role in the immune response against infections. Although this process is well-documented and conserved in most animals, it is still poorly understood in mollusks. To date, no study has provided a complete overview of the molecular mechanism of autophagy in mollusk bivalves. In this study, human and yeast ATG protein sequences and public databases (Uniprot and NCBI) were used to identify protein members... |
| Tipo: Text |
Palavras-chave: Autophagy; Autophagy related; Crassostrea gigas; Data mining; Immunohistochemistry; Real-time PCR; Western blot. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00606/71785/70270.pdf |
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| Roeder, Norbert; Kilian, Stefan. |
| In Germany agricultural land use is very heterogeneous with respect to management orientation and productivity even at local level. Also the rate of structural change shows a wide variation. While for a limited number of factors (e.g. farm size) a stable relation to structural change could be widely confirmed for different parts of Germany, the results for other indicators are contradictory. This holds especially for indicators describing to the marginality of a site. Many concerns related to structural change and development of land use intensity, e.g. abandonment of high nature value farmland, are only relevant in a very specific local context. Therefore, it is necessary to establish indicators for farm development on a disaggregated level. This paper... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Structural change; Data mining; Regionalization; Agricultural and Food Policy; Land Economics/Use; Q10; Q15. |
| Ano: 2009 |
URL: http://purl.umn.edu/51463 |
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| Registros recuperados: 39 | |
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