Gotowe bibliografie tematyczne / Artificial grape

Gotowa bibliografia na temat „Artificial grape”

Autor: Grafiati
Data publikacji: 4 czerwca 2021
Data aktualizacji: 1 lutego 2022

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Artykuły w czasopismach na temat "Artificial grape"

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Kosaka, Shinichi, Kazutaka Narita, Kimitoshi Horaguchi, Hirohumi Kugishima, Tadashi Minoshima i Tadaaki Shimazu. "Artificial Lighting for Grape in Winter". JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 85, nr 3 (2001): 201–3. http://dx.doi.org/10.2150/jieij1980.85.3_201.

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Igounet, Olivier, Charles Baldy, Jean-Pierre Robin, Jean-Claude Boulet, M. Sanon i Benoît Suard. "Effects of artificial soil covers on the internal temperatures of grape berries during the grape maturation". OENO One 29, nr 3 (30.09.1995): 131. http://dx.doi.org/10.20870/oeno-one.1995.29.3.1125.

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<p style="text-align: justify;">Air temperature as well as internal and surface temperatures (by infrared radiothermometry) of grape berries of vineyards (var. Syrah) under which we place different soil cover : bare soil, polyethylene and aluminium were monitored during the swelling and the ripening stages at the « Institut National de la Recherche Agronomique » experimental station at Pech Rouge, Gruissan (France). Results showed there were significant differences in the thermal responses of the grapes with respect to the type of soil cover and degree of fruit ripening. High differences in temperatures between grape and air were observed in soil covered with aluminium sheet which reflected most of the incident solar radiation. For this cover, biochemical analysis of berries and must indicate an increase of sugars grade and alcoholic degree. Statistical analysis were carried out to determine the influence of climatic variables on the grape temperatures. Solar radiation, wind and air temperature are the parameters which seem the main factors, nevertheless, their influence evolve during the process of grape maturation.</p>
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Chayjan, R. A., i M. Esna-Ashari. "Effect of moisture content on thermodynamic characteristics of grape: mathematical and artificial neural network modelling". Czech Journal of Food Sciences 29, No. 3 (13.05.2011): 250–59. http://dx.doi.org/10.17221/328/2009-cjfs.

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Artificial neural networks (ANNs) and four empirical mathematical models, namely Henderson, GAB, Halsey, and Oswin were used for the estimation of equilibrium moisture content (EMC) of the dried grape (black currant). The results showed that the EMC of the grape were more accurately predicted by ANN models than by the empirical models. The heat and entropy of sorption of the grape have separately been predicted by two mathematical models as a function of EMC with desirable coefficient of determination (R<sup>2</sup> &asymp; 0.99). At the EMC above 7% (d.b.), the heat and entropy of the grape sorption were smoothly decreased, while they were the highest at the moisture content of about 7% (d.b.). Better equations could be developed for the prediction of the heat of sorption and entropy based on the data from the ANN model.
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Peisley, Rebecca K., Manu E. Saunders i Gary W. Luck. "Providing perches for predatory and aggressive birds appears to reduce the negative impact of frugivorous birds in vineyards". Wildlife Research 44, nr 4 (2017): 334. http://dx.doi.org/10.1071/wr17028.

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Context Birds active in vineyards in south-eastern Australia can reduce or enhance crop yields via their foraging activities (e.g. by consuming grapes or by preying on grape-eating species). Aims We examined the effectiveness of artificial perches in encouraging predatory birds into vineyards to scare frugivorous birds and consequently reduce the damage they cause to grapes. Methods We monitored 12 artificial perches for 4 months during the growing season, spread over six vineyards in north-eastern Victoria, and compared bird damage to grapes at these sites with control sites without perches. Key results We found that raptors did not use the artificial perches. However, the large and aggressive Australian magpie (Cracticus tibicen) commonly used perches and we recorded 38513 perch visits by this species. Grapevines around perch sites suffered >50% less grape damage (4.13% damage per bunch) than control sites (8.57% damage per bunch). Conclusions Our results suggest that providing artificial perches in vineyards can play a role in reducing frugivore damage to grapes. However, the effectiveness of perches can vary under different environmental conditions and certain perch types are not suitable for all predatory or aggressive birds. Implications Future research should focus on the potential role of large-bodied and competitively aggressive species such as the Australian magpie in altering the activity of smaller frugivorous birds in vineyards, and also on the optimum height and location of artificial perches within vineyards to increase visitation by other predatory or aggressive bird species.
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Andrushia, A. Diana, i A. Trephena Patricia. "Artificial bee colony optimization (ABC) for grape leaves disease detection". Evolving Systems 11, nr 1 (22.05.2019): 105–17. http://dx.doi.org/10.1007/s12530-019-09289-2.

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Chu, Xiaoquan, Yue Li, Dong Tian, Jianying Feng i Weisong Mu. "An optimized hybrid model based on artificial intelligence for grape price forecasting". British Food Journal 121, nr 12 (21.11.2019): 3247–65. http://dx.doi.org/10.1108/bfj-06-2019-0390.

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Purpose The purpose of this paper is to propose an optimized hybrid model based on artificial intelligence methods, use the method of time series forecasting, to deal with the price prediction issue of China’s table grape. Design/methodology/approach The approaches follows the framework of “decomposition and ensemble,” using ensemble empirical mode decomposition (EEMD) to optimize the conventional price forecasting methods, and, integrating the multiple linear regression and support vector machine to build a hybrid model which could be applied in solving price series predicting problems. Findings The proposed EEMD-ADD optimized hybrid model is validated to be considered satisfactory in a case of China’ grape price forecasting in terms of its statistical measures and prediction performance. Practical implications This study would resolve the difficulties in grape price forecasting and provides an adaptive strategy for other agricultural economic predicting problems as well. Originality/value The paper fills the vacancy of concerning researches, proposes an optimized hybrid model integrating both classical econometric and artificial intelligence models to forecast price using time series method.
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Xie, Qian, Ana Karina Bedran-Russo i Christine D. Wu. "In vitro remineralization effects of grape seed extract on artificial root caries". Journal of Dentistry 36, nr 11 (listopad 2008): 900–906. http://dx.doi.org/10.1016/j.jdent.2008.07.011.

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Cecotti, Hubert, Agustin Rivera, Majid Farhadloo i Miguel A. Pedroza. "Grape detection with convolutional neural networks". Expert Systems with Applications 159 (listopad 2020): 113588. http://dx.doi.org/10.1016/j.eswa.2020.113588.

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Fermaud, M., P. Pracros, R. Roehrich i J. Stockel. "Evaluation of an Artificial Infestation Technique of Grape with Lobesia botrana (Lepidoptera: Tortricidae)". Journal of Economic Entomology 89, nr 6 (1.12.1996): 1658–62. http://dx.doi.org/10.1093/jee/89.6.1658.

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Xin, Haiping, Jisen Zhang, Wei Zhu, Nian Wang, Peige Fang, Yuepeng Han, Ray Ming i Shaohua Li. "The effects of artificial selection on sugar metabolism and transporter genes in grape". Tree Genetics & Genomes 9, nr 5 (9.06.2013): 1343–49. http://dx.doi.org/10.1007/s11295-013-0643-7.

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Rozprawy doktorskie na temat "Artificial grape"

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Xing, Huajing. "Impact of thiamine and pyridoxine on alcoholic fermentations of synthetic grape juice". Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Summer2007/h_xing_072607.pdf.

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Saxton, Valerie Patricia. "Influence of ripening grape compounds on behavioural responses of birds". Phd thesis, Lincoln University. Agriculture and Life Sciences Division, 2004. http://theses.lincoln.ac.nz/public/adt-NZLIU20061207.121738/.

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Vineyards in New Zealand suffer bird damage caused by several avian species, including blackbirds and silvereyes. The introduced European Blackbird takes whole grapes which reduces yield. The self-introduced Australasian Silvereye pecks on grapes, leaving them on the vine to be further attacked by fungi and bacteria, and the subsequent off-odours can cause grapes to be refused by the winery or to suffer a price-reduction. Bird control methods remain primitive and largely ineffective during the long ripening period of wine grapes. An ecologically sound method to manage and reduce bird pressure requires deeper understanding of why some birds eat grapes, especially since grapes are not particularly nutritious. This work investigated the extent to which blackbirds and silvereyes are attracted by various compounds in ripening grapes. Since in natural grapes these compounds develop and change simultaneously, I developed an artificial grape in which a single parameter could be investigated. Artificial grapes (and sometimes nectar) were presented on a bird feeder table and the responses of birds to hexose sugars, the aromas 2-3-isobutylmethoxypyrazine and geraniol, tartaric and malic acids, grape tannins, and purple and green colour were recorded on timelapse video and analysed.
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Saxton, V. P. "Influence of ripening grape compounds on behavioural responses of birds". Diss., Lincoln University, 2004. http://hdl.handle.net/10182/28.

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Vineyards in New Zealand suffer bird damage caused by several avian species, including blackbirds and silvereyes. The introduced European Blackbird takes whole grapes which reduces yield. The self-introduced Australasian Silvereye pecks on grapes, leaving them on the vine to be further attacked by fungi and bacteria, and the subsequent off-odours can cause grapes to be refused by the winery or to suffer a price-reduction. Bird control methods remain primitive and largely ineffective during the long ripening period of wine grapes. An ecologically sound method to manage and reduce bird pressure requires deeper understanding of why some birds eat grapes, especially since grapes are not particularly nutritious. This work investigated the extent to which blackbirds and silvereyes are attracted by various compounds in ripening grapes. Since in natural grapes these compounds develop and change simultaneously, I developed an artificial grape in which a single parameter could be investigated. Artificial grapes (and sometimes nectar) were presented on a bird feeder table and the responses of birds to hexose sugars, the aromas 2-3-isobutylmethoxypyrazine and geraniol, tartaric and malic acids, grape tannins, and purple and green colour were recorded on timelapse video and analysed.
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Yildiz, Ali. "Resource-aware Load Balancing System With Artificial Neural Networks". Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/12607613/index.pdf.

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As the distributed systems becomes popular, efficient load balancing systems taking better decisions must be designed. The most important reasons that necessitate load balancing in a distributed system are the heterogeneous hosts having different com- puting powers, external loads and the tasks running on different hosts but communi- cating with each other. In this thesis, a load balancing approach, called RALBANN, developed using graph partitioning and artificial neural networks (ANNs) is de- scribed. The aim of RALBANN is to integrate the successful load balancing deci- sions of graph partitioning algorithms with the efficient decision making mechanism of ANNs. The results showed that using ANNs to make efficient load balancing can be very beneficial. If trained enough, ANNs may load the balance as good as graph partitioning algorithms more efficiently.
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Chang, Kaiwen. "Apprentissage artificiel pour la segmentation d'image". Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLEM058.

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La présente thèse vise à développer une méthodologie générale basée sur des méthodes d’apprentissage pour effectuer la segmentation d’une base de données constituée d’images similaires, à partir d’un nombre limité d’exemples d’entraînement. Cette méthodologie est destinée à être appliquée à des images recueillies dans le cadre d’observations de la terre ou lors d’expériences menées en science des matériaux, pour lesquelles il n’y a pas suffisamment d’exemples d’entraînement pour appliquer des méthodes basées sur des techniques d’apprentissage profond. La méthodologie proposée commence par construire une partition de l’image en superpixels, avant de fusionner progressivement les différents superpixels obtenus jusqu’à l’obtention d’une segmentation valide. Les deux principales contributions de cette thèse sont le développement d’un nouvel algorithme de superpixel basé sur l’équation eikonale, et le développement d’un algorithme de fusion de superpixels basé sur une adaptation de l’équation eikonale au contexte des graphes. L’algorithme de fusion des superpixels s’appuie sur un graphe d’adjacence construit à partir de la partition en superpixels. Les arêtes de ce graphe sont valuées par une mesure de dissimilarité prédite par un algorithme d’apprentissage à partir des caractéristiques de bas niveau calculées sur les superpixels. A titre d’application, l’approche de segmentation est évaluée sur la base de données SWIMSEG, qui contient des images de nuages. Pour cette base de données, avec un nombre limité d’images d’entraînement, nous obtenons des résultats de segmentation similaires à ceux de l’état de l’art
In this PhD thesis, our aim is to establish a general methodology for performing the segmentation of a dataset constituted of similar images with only a few annotated images as training examples. This methodology is directly intended to be applied to images gathered in Earth observation or materials science applications, for which there is not enough annotated examples to train state-of-the-art deep learning based segmentation algorithms. The proposed methodology starts from a superpixel partition of the image and gradually merges the initial regions until anactual segmentation is obtained. The two main contributions described in this PhD thesis are the development of a new superpixel algorithm which makes use of the Eikonal equation, and the development of a superpixel merging algorithm steaming from the adaption of the Eikonal equation to the setting of graphs. The superpixels merging approach makes use of a region adjacency graph computed from the superpixel partition. The edges are weighted by a dissimilarity measure learned by a machine learning algorithm from low-level cues computed on the superpixels. In terms of application, our approach to image segmentation is finally evaluated on the SWIMSEG dataset, a dataset which contains sky cloud images. On this dataset, using only a limited amount of images for training our algorithm, we were able to obtain segmentation results similar to the ones obtained with state-of-the-art algorithms
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Filho, Flavio Guilherme Vaz de Almeida. "Variação temporal do campo gravitacional detectada pelo satélite GRACE: aplicação na bacia Amazônica". Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/3/3138/tde-10112009-094808/.

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O objetivo deste trabalho é investigar o processo das variações do campo gravitacional, obtidas através da missão espacial GRACE e seu relacionamento com a dinâmica das águas na região Amazônica. A partir disto, procurou-se desenvolver uma metodologia para as estimativas das cotas dágua em áreas inundáveis não monitoradas ou de difícil acesso. Para isso, os coeficientes de Stokes, disponibilizados pelo GRGS de Toulouse, foram convertidos, por um processo denominado inversão, no equivalente à altura dágua (EqW) para o período de aproximadamente 4 anos (julho de 2002 a maio de 2006) e os valores comparados às cotas do nível dágua in-situ obtidas pela Agência Nacional de Águas (ANA). A escolha da bacia Amazônica está relacionada ao fato da mesma apresentar, próximo ao centro, amplitudes de aproximadamente 1250 mm no nível do EqW, sendo as maiores do mundo. A regionalização dos modelos globais das variações deste campo pôde ser aplicada para uma boa estimativa nas cotas dágua in-situ. Assim, foram estimados os erros desta metodologia, que são da ordem de ~160 mm para o EqW, oriundos dos erros nos coeficientes de Stokes, truncamento do espectro e erros de vazamento de informações hidrológicas das bacias vizinhas. Esta metodologia trata, portanto, de estimar as cotas onde não existam estações de monitoramento, avaliando a ordem de grandeza dos erros. Por fim, são apresentadas cartas que relacionam hidrogeologicamente as defasagens apresentadas nos ciclos semi-anuais e as áreas onde a metodologia poderá ser melhor aplicada com estimativas mais precisas do EqW e com maior coerência entre os dados satelitais e terrestres.
A comparison between vertically-integrated equivalent water height (EWH) derived from GRACE gravity anomalies with in situ water level time series measured at ground-based hydrometric stations (HS) in the Amazon basin is figure out in the thesis. A methodology for EWH estimation at ungauged sites is presented. The Stokes coefficients disponibilized by GRGS - Toulouse at a 10-day interval were converted into EWH for a ~4-year period (July-2002 to May-2006) using the methodology so-called inversion, and then compared to HS level. In the basin, the amplitudes of EWH signal are the largest on the Earth and can reach on the order of 1250 mm at the center of the basin (e.g. Manaus station). The uncertainties represent ~160 mm of EWH, including Stokes coefficient uncertainties, leakage errors and spectrum truncation. A methodology for acquire water level historical series at ungauged places is proposed with the estimated incertitude. A hydrological map is compared with a correlation chart and figure out areas where this methodology works better, in addition, compared also with shift phased semi-annual cycles.
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Zhang, Jiaxin. "Power-law Graph Cuts". The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1418749967.

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Kothari, Bhavin Chandrakant. "Structural optimisation of artificial neural networks by the genetic algorithm using a new encoding scheme". Thesis, Brunel University, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.389263.

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Lima, Fernando Correa. "\"Um resolvedor SAT paralelo com BSP sobre uma grade\"". Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-03062007-144527/.

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O Objetivo deste trabalho foi implementar um resolvedor distribuído para o problema de satisfabilidade em lógica proposicional (SAT) que pudesse ser executado em uma grade de computadores. Foi analisada a influência que o número de máquinas utilizadas pela grade para resolver diversas instâncias do SAT exerce sobre o desempenho do resolvedor implementado
O Objetivo deste trabalho foi implementar um resolvedor distribuído para o problema de satisfabilidade em lógica proposicional (SAT) que pudesse ser executado em uma grade de computadores. Foi analisada a influência que o número de máquinas utilizadas pela grade para resolver diversas instâncias do SAT exerce sobre o desempenho do resolvedor implementado
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Garcia, Edward T. "Multi-Agent Narrative Experience Management as Story Graph Pruning". ScholarWorks@UNO, 2019. https://scholarworks.uno.edu/td/2694.

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In this thesis I describe a method where an experience manager chooses actions for non-player characters (NPCs) in intelligent interactive narratives through story graph representation and pruning. The space of all stories can be represented as a story graph where nodes are states and edges are actions. By shaping the domain as a story graph, experience manager decisions can be made by pruning edges. Starting with a full graph, I apply a set of pruning strategies that will allow the narrative to be finishable, NPCs to act believably, and the player to be responsible for how the story unfolds. By never pruning player actions, the experience manager can accommodate any player choice. This experience management technique was first implemented on a training simulation, where participants’ performance improved over repeated sessions. This technique was also employed on an adventure game where players generally found the NPCs’ behaviors to be more believable than the control.
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Książki na temat "Artificial grape"

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Fidanova, Stefka. Generalized nets in artificial intelligence: Generalized nets and ant colony optimization. Sofia: Academic Publishing House "Prof. Marin Drinov", 2011.

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Eisinger, Norbert. Completeness, confluence, and related properties of clause graph resolution. London: Pitman, 1991.

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Lee, Raymond Shu Tak. Invariant object recognition based on elastic graph matching: Theory and applications. Amsterdam: IOS Press, 2003.

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Riesen, Kaspar. Graph classification and clustering based on vector space embedding. New Jersey: World Scientific, 2010.

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Identification and modeling of sea level change contributors: On GRACE satellite gravity data and their applications to climate monitoring. Delft: NCG, 2010.

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Fischer von Erlach, Johann Bernhard. Progetto di un’architettura istorica. Entwurff einer Historischen Architectur. Redaktor Gundula Rakowitz. Florence: Firenze University Press, 2016. http://dx.doi.org/10.36253/978-88-6655-809-5.

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La cura e la traduzione integrale (la prima in italiano) dell’Entwurff einer Historischen Architectur. Progetto di un’architettura istorica (Vienna 1721) di Bernhard Fischer von Erlach si incarica di colmare una grave lacuna nella storiografia italiana in quanto l’Entwurff costituisce indubbiamente un’opera decisiva, di soglia, per intendere la dimensione compiutamente compositiva del moderno progettare architettonico inteso come rapporto tra mimesis e inventio. La dimensione ‘istorica’, ossia l’insieme eterogeneo dei materiali, viene disposta e ritessuta da una progettualità le cui direttrici convergono nel punto centrale di una forza immaginativa, ‘fantastica’ ovvero ‘poietica’, in grado di superare il rapporto semplice, lineare, tra ‘natura’ e ‘artificio’, riaprendo pertanto al problema di pensare, sempre di nuovo, il linguaggio architettonico.
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Corbett, Dan. Reasoning and unification over conceptual graphs. New York: Kluwer Academic/Plenum Publishers, 2003.

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Golumbic, Martin Charles. Graph-Theoretic Concepts in Computer Science: 38th International Workshop, WG 2012, Jerusalem, Israel, June 26-28, 2012, Revised Selcted Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Hautman, Pete. Rash. New York: Simon & Schuster Books for Young Readers, 2006.

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Hautman, Pete. Rash. New York: Simon & Schuster Books for Young Readers, 2006.

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Części książek na temat "Artificial grape"

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Monga, Tanya. "Estimating Vineyard Grape Yield from Images". W Advances in Artificial Intelligence, 339–43. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89656-4_37.

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Mohammed, Kamel K., Ashraf Darwish i Aboul Ella Hassenian. "Artificial Intelligent System for Grape Leaf Diseases Classification". W Artificial Intelligence for Sustainable Development: Theory, Practice and Future Applications, 19–29. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51920-9_2.

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Silver, Daniel L., i Tanya Monga. "In Vino Veritas: Estimating Vineyard Grape Yield from Images Using Deep Learning". W Advances in Artificial Intelligence, 212–24. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18305-9_17.

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Di Mauro, Nicola, Teresa M. A. Basile i Stefano Ferilli. "GRAPE: An Expert Review Assignment Component for Scientific Conference Management Systems". W Innovations in Applied Artificial Intelligence, 789–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11504894_109.

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Rapisarda, G. "Ventilazione artificiale meccanica invasiva". W Il neuroleso grave, 87–95. Milano: Springer Milan, 2010. http://dx.doi.org/10.1007/978-88-470-1460-2_9.

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Sharifirad, Sima, i Stan Matwin. "Deep Multi-cultural Graph Representation Learning". W Advances in Artificial Intelligence, 407–10. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57351-9_46.

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Shawe-Taylor, John, i Janez Žerovnik. "Ants and Graph Coloring". W Artificial Neural Nets and Genetic Algorithms, 276–79. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6230-9_68.

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Király, András, Ágnes Vathy-Fogarassy i János Abonyi. "Fuzzy c-Medoid Graph Clustering". W Artificial Intelligence and Soft Computing, 738–48. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07176-3_64.

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Selivanov, Anton A., Ivan A. Moloshnikov, Roman B. Rybka i Alexandr G. Sboev. "Keyword Extraction Approach Based on Probabilistic-Entropy, Graph, and Neural Network Methods". W Artificial Intelligence, 284–95. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59535-7_21.

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Vilela, Joana, Muhammad Asif, Ana Rita Marques, João Xavier Santos, Célia Rasga, Astrid Vicente i Hugo Martiniano. "Biomedical Knowledge Graph Embeddings for Personalized Medicine". W Progress in Artificial Intelligence, 584–95. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86230-5_46.

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Streszczenia konferencji na temat "Artificial grape"

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Oliveira, Flávio R. S., Felipe C. Farias i Bernardo João de Barros Caldas. "Evaluation of deep learning architectures applied to identification of diseases in grape leaves". W XV Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/eniac.2018.4447.

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Vale do São Francisco in Pernambuco is one of the most economically important poles in the state and among its cultivars, it is worth mentioning the grape culture. This sector faces challenges related to the response time between identifying a field infestation and taking corrective actions, in order to minimize losses. This work comprises a comparative analysis between deep learning architectures, applied to identification of diseases in grape cultivars. Results suggest that the use of these technologies is plausible to differentiate healthy grape leaves from leaves presenting one of three different types of diseases, obtaining near 100% accuracy in studied database using an architecture that can be employed in embedded devices.
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Clement, Alain, i Bertnand Vigouroux. "Quantization of polyphenolic compounds in histological sections of grape berries by automated color image analysis". W Quality Control by Artificial Vision, redaktorzy Kenneth W. Tobin, Jr. i Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.515160.

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Aleixandre, M., J. A. Gonzalez, I. Sayago, M. J. Fernandez, J. Gutierrez i M. C. Horrillo. "Analysis of grape variety and denomination of origin of several wines with an artificial nose". W 2009 Spanish Conference on Electron Devices (CDE). IEEE, 2009. http://dx.doi.org/10.1109/sced.2009.4800493.

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Claster, William B., Maxwell Caughron i Philip J. Sallis. "Harvesting Consumer Opinion and Wine Knowledge Off the Social Media Grape Vine Utilizing Artificial Neural Networks". W 2010 European Modelling Symposium (EMS). IEEE, 2010. http://dx.doi.org/10.1109/ems.2010.109.

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Mateo, F., A. Medina, R. Gadea, E. M. Mateo, F. M. Valle-Algarra, R. Mateo i M. Jiménez. "Application of artificial neural networks to predict ochratoxin A accumulation in carbendazim-treated grape-based cultures of Aspergillus carbonarius". W Proceedings of the II International Conference on Environmental, Industrial and Applied Microbiology (BioMicroWorld2007). WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789812837554_0112.

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Bai, Yunsheng, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun i Wei Wang. "Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity". W Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/275.

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We introduce a novel approach to graph-level representation learning, which is to embed an entire graph into a vector space where the embeddings of two graphs preserve their graph-graph proximity. Our approach, UGraphEmb, is a general framework that provides a novel means to performing graph-level embedding in a completely unsupervised and inductive manner. The learned neural network can be considered as a function that receives any graph as input, either seen or unseen in the training set, and transforms it into an embedding. A novel graph-level embedding generation mechanism called Multi-Scale Node Attention (MSNA), is proposed. Experiments on five real graph datasets show that UGraphEmb achieves competitive accuracy in the tasks of graph classification, similarity ranking, and graph visualization.
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Xiong, Kai, Feiping Nie i Junwei Han. "Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction". W Twenty-Sixth International Joint Conference on Artificial Intelligence. California: International Joint Conferences on Artificial Intelligence Organization, 2017. http://dx.doi.org/10.24963/ijcai.2017/439.

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Many previous graph-based methods perform dimensionality reduction on a pre-defined graph. However, due to the noise and redundant information in the original data, the pre-defined graph has no clear structure and may not be appropriate for the subsequent task. To overcome the drawbacks, in this paper, we propose a novel approach called linear manifold regularization with adaptive graph (LMRAG) for semi-supervised dimensionality reduction. LMRAG directly incorporates the graph construction into the objective function, thus the projection matrix and the optimal graph can be simultaneously optimized. Due to the structure constraint, the learned graph is sparse and has clear structure. Extensive experiments on several benchmark datasets demonstrate the effectiveness of the proposed method.
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Ince, Kenan, i Ali Karci. "Collaboration graph as a new graph definition approach". W 2017 International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2017. http://dx.doi.org/10.1109/idap.2017.8090242.

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Deng, Xiang, i Zhongfei Zhang. "Graph-Free Knowledge Distillation for Graph Neural Networks". W Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/320.

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Knowledge distillation (KD) transfers knowledge from a teacher network to a student by enforcing the student to mimic the outputs of the pretrained teacher on training data. However, data samples are not always accessible in many cases due to large data sizes, privacy, or confidentiality. Many efforts have been made on addressing this problem for convolutional neural networks (CNNs) whose inputs lie in a grid domain within a continuous space such as images and videos, but largely overlook graph neural networks (GNNs) that handle non-grid data with different topology structures within a discrete space. The inherent differences between their inputs make these CNN-based approaches not applicable to GNNs. In this paper, we propose to our best knowledge the first dedicated approach to distilling knowledge from a GNN without graph data. The proposed graph-free KD (GFKD) learns graph topology structures for knowledge transfer by modeling them with multinomial distribution. We then introduce a gradient estimator to optimize this framework. Essentially, the gradients w.r.t. graph structures are obtained by only using GNN forward-propagation without back-propagation, which means that GFKD is compatible with modern GNN libraries such as DGL and Geometric. Moreover, we provide the strategies for handling different types of prior knowledge in the graph data or the GNNs. Extensive experiments demonstrate that GFKD achieves the state-of-the-art performance for distilling knowledge from GNNs without training data.
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Lin, Zhiping, i Zhao Kang. "Graph Filter-based Multi-view Attributed Graph Clustering". W Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/375.

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Graph clustering has become an important research topic due to the proliferation of graph data. However, existing methods suffer from two major drawbacks. On the one hand, most methods can not simultaneously exploit attribute and graph structure information. On the other hand, most methods are incapable of handling multi-view data which contain sets of different features and graphs. In this paper, we propose a novel Multi-view Attributed Graph Clustering (MvAGC) method, which is simple yet effective. Firstly, a graph filter is applied to features to obtain a smooth representation without the need of learning the parameters of neural networks. Secondly, a novel strategy is designed to select a few anchor points, so as to reduce the computation complexity. Thirdly, a new regularizer is developed to explore high-order neighborhood information. Our extensive experiments indicate that our method works surprisingly well with respect to state-of-the-art deep neural network methods. The source code is available at https://github.com/sckangz/MvAGC.
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