Добірка наукової літератури з теми "Artificial grape"
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Статті в журналах з теми "Artificial grape"
Kosaka, Shinichi, Kazutaka Narita, Kimitoshi Horaguchi, Hirohumi Kugishima, Tadashi Minoshima, and Tadaaki Shimazu. "Artificial Lighting for Grape in Winter." JOURNAL OF THE ILLUMINATING ENGINEERING INSTITUTE OF JAPAN 85, no. 3 (2001): 201–3. http://dx.doi.org/10.2150/jieij1980.85.3_201.
Повний текст джерелаIgounet, Olivier, Charles Baldy, Jean-Pierre Robin, Jean-Claude Boulet, M. Sanon, and Benoît Suard. "Effects of artificial soil covers on the internal temperatures of grape berries during the grape maturation." OENO One 29, no. 3 (September 30, 1995): 131. http://dx.doi.org/10.20870/oeno-one.1995.29.3.1125.
Повний текст джерелаChayjan, R. A., and 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 (May 13, 2011): 250–59. http://dx.doi.org/10.17221/328/2009-cjfs.
Повний текст джерелаPeisley, Rebecca K., Manu E. Saunders, and Gary W. Luck. "Providing perches for predatory and aggressive birds appears to reduce the negative impact of frugivorous birds in vineyards." Wildlife Research 44, no. 4 (2017): 334. http://dx.doi.org/10.1071/wr17028.
Повний текст джерелаAndrushia, A. Diana, and A. Trephena Patricia. "Artificial bee colony optimization (ABC) for grape leaves disease detection." Evolving Systems 11, no. 1 (May 22, 2019): 105–17. http://dx.doi.org/10.1007/s12530-019-09289-2.
Повний текст джерелаChu, Xiaoquan, Yue Li, Dong Tian, Jianying Feng, and Weisong Mu. "An optimized hybrid model based on artificial intelligence for grape price forecasting." British Food Journal 121, no. 12 (November 21, 2019): 3247–65. http://dx.doi.org/10.1108/bfj-06-2019-0390.
Повний текст джерелаXie, Qian, Ana Karina Bedran-Russo, and Christine D. Wu. "In vitro remineralization effects of grape seed extract on artificial root caries." Journal of Dentistry 36, no. 11 (November 2008): 900–906. http://dx.doi.org/10.1016/j.jdent.2008.07.011.
Повний текст джерелаCecotti, Hubert, Agustin Rivera, Majid Farhadloo, and Miguel A. Pedroza. "Grape detection with convolutional neural networks." Expert Systems with Applications 159 (November 2020): 113588. http://dx.doi.org/10.1016/j.eswa.2020.113588.
Повний текст джерелаFermaud, M., P. Pracros, R. Roehrich, and J. Stockel. "Evaluation of an Artificial Infestation Technique of Grape with Lobesia botrana (Lepidoptera: Tortricidae)." Journal of Economic Entomology 89, no. 6 (December 1, 1996): 1658–62. http://dx.doi.org/10.1093/jee/89.6.1658.
Повний текст джерелаXin, Haiping, Jisen Zhang, Wei Zhu, Nian Wang, Peige Fang, Yuepeng Han, Ray Ming, and Shaohua Li. "The effects of artificial selection on sugar metabolism and transporter genes in grape." Tree Genetics & Genomes 9, no. 5 (June 9, 2013): 1343–49. http://dx.doi.org/10.1007/s11295-013-0643-7.
Повний текст джерелаДисертації з теми "Artificial grape"
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.
Повний текст джерелаSaxton, 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/.
Повний текст джерелаSaxton, V. P. "Influence of ripening grape compounds on behavioural responses of birds." Diss., Lincoln University, 2004. http://hdl.handle.net/10182/28.
Повний текст джерелаYildiz, 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.
Повний текст джерелаChang, Kaiwen. "Apprentissage artificiel pour la segmentation d'image." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLEM058.
Повний текст джерелаIn 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
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/.
Повний текст джерелаA 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.
Zhang, Jiaxin. "Power-law Graph Cuts." The Ohio State University, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=osu1418749967.
Повний текст джерелаKothari, 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.
Повний текст джерелаLima, 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/.
Повний текст джерелаO 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
Garcia, Edward T. "Multi-Agent Narrative Experience Management as Story Graph Pruning." ScholarWorks@UNO, 2019. https://scholarworks.uno.edu/td/2694.
Повний текст джерелаКниги з теми "Artificial grape"
Fidanova, Stefka. Generalized nets in artificial intelligence: Generalized nets and ant colony optimization. Sofia: Academic Publishing House "Prof. Marin Drinov", 2011.
Знайти повний текст джерелаEisinger, Norbert. Completeness, confluence, and related properties of clause graph resolution. London: Pitman, 1991.
Знайти повний текст джерелаLee, Raymond Shu Tak. Invariant object recognition based on elastic graph matching: Theory and applications. Amsterdam: IOS Press, 2003.
Знайти повний текст джерелаRiesen, Kaspar. Graph classification and clustering based on vector space embedding. New Jersey: World Scientific, 2010.
Знайти повний текст джерелаIdentification and modeling of sea level change contributors: On GRACE satellite gravity data and their applications to climate monitoring. Delft: NCG, 2010.
Знайти повний текст джерелаFischer von Erlach, Johann Bernhard. Progetto di un’architettura istorica. Entwurff einer Historischen Architectur. Edited by Gundula Rakowitz. Florence: Firenze University Press, 2016. http://dx.doi.org/10.36253/978-88-6655-809-5.
Повний текст джерелаCorbett, Dan. Reasoning and unification over conceptual graphs. New York: Kluwer Academic/Plenum Publishers, 2003.
Знайти повний текст джерелаGolumbic, 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.
Знайти повний текст джерелаHautman, Pete. Rash. New York: Simon & Schuster Books for Young Readers, 2006.
Знайти повний текст джерелаHautman, Pete. Rash. New York: Simon & Schuster Books for Young Readers, 2006.
Знайти повний текст джерелаЧастини книг з теми "Artificial grape"
Monga, Tanya. "Estimating Vineyard Grape Yield from Images." In Advances in Artificial Intelligence, 339–43. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89656-4_37.
Повний текст джерелаMohammed, Kamel K., Ashraf Darwish, and Aboul Ella Hassenian. "Artificial Intelligent System for Grape Leaf Diseases Classification." In 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.
Повний текст джерелаSilver, Daniel L., and Tanya Monga. "In Vino Veritas: Estimating Vineyard Grape Yield from Images Using Deep Learning." In Advances in Artificial Intelligence, 212–24. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18305-9_17.
Повний текст джерелаDi Mauro, Nicola, Teresa M. A. Basile, and Stefano Ferilli. "GRAPE: An Expert Review Assignment Component for Scientific Conference Management Systems." In Innovations in Applied Artificial Intelligence, 789–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11504894_109.
Повний текст джерелаRapisarda, G. "Ventilazione artificiale meccanica invasiva." In Il neuroleso grave, 87–95. Milano: Springer Milan, 2010. http://dx.doi.org/10.1007/978-88-470-1460-2_9.
Повний текст джерелаSharifirad, Sima, and Stan Matwin. "Deep Multi-cultural Graph Representation Learning." In Advances in Artificial Intelligence, 407–10. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57351-9_46.
Повний текст джерелаShawe-Taylor, John, and Janez Žerovnik. "Ants and Graph Coloring." In Artificial Neural Nets and Genetic Algorithms, 276–79. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6230-9_68.
Повний текст джерелаKirály, András, Ágnes Vathy-Fogarassy, and János Abonyi. "Fuzzy c-Medoid Graph Clustering." In Artificial Intelligence and Soft Computing, 738–48. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07176-3_64.
Повний текст джерелаSelivanov, Anton A., Ivan A. Moloshnikov, Roman B. Rybka, and Alexandr G. Sboev. "Keyword Extraction Approach Based on Probabilistic-Entropy, Graph, and Neural Network Methods." In Artificial Intelligence, 284–95. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59535-7_21.
Повний текст джерелаVilela, Joana, Muhammad Asif, Ana Rita Marques, João Xavier Santos, Célia Rasga, Astrid Vicente, and Hugo Martiniano. "Biomedical Knowledge Graph Embeddings for Personalized Medicine." In Progress in Artificial Intelligence, 584–95. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86230-5_46.
Повний текст джерелаТези доповідей конференцій з теми "Artificial grape"
Oliveira, Flávio R. S., Felipe C. Farias, and Bernardo João de Barros Caldas. "Evaluation of deep learning architectures applied to identification of diseases in grape leaves." In XV Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2018. http://dx.doi.org/10.5753/eniac.2018.4447.
Повний текст джерелаClement, Alain, and Bertnand Vigouroux. "Quantization of polyphenolic compounds in histological sections of grape berries by automated color image analysis." In Quality Control by Artificial Vision, edited by Kenneth W. Tobin, Jr. and Fabrice Meriaudeau. SPIE, 2003. http://dx.doi.org/10.1117/12.515160.
Повний текст джерелаAleixandre, M., J. A. Gonzalez, I. Sayago, M. J. Fernandez, J. Gutierrez, and M. C. Horrillo. "Analysis of grape variety and denomination of origin of several wines with an artificial nose." In 2009 Spanish Conference on Electron Devices (CDE). IEEE, 2009. http://dx.doi.org/10.1109/sced.2009.4800493.
Повний текст джерелаClaster, William B., Maxwell Caughron, and Philip J. Sallis. "Harvesting Consumer Opinion and Wine Knowledge Off the Social Media Grape Vine Utilizing Artificial Neural Networks." In 2010 European Modelling Symposium (EMS). IEEE, 2010. http://dx.doi.org/10.1109/ems.2010.109.
Повний текст джерелаMateo, F., A. Medina, R. Gadea, E. M. Mateo, F. M. Valle-Algarra, R. Mateo, and M. Jiménez. "Application of artificial neural networks to predict ochratoxin A accumulation in carbendazim-treated grape-based cultures of Aspergillus carbonarius." In Proceedings of the II International Conference on Environmental, Industrial and Applied Microbiology (BioMicroWorld2007). WORLD SCIENTIFIC, 2009. http://dx.doi.org/10.1142/9789812837554_0112.
Повний текст джерелаBai, Yunsheng, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, and Wei Wang. "Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity." In 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.
Повний текст джерелаXiong, Kai, Feiping Nie, and Junwei Han. "Linear Manifold Regularization with Adaptive Graph for Semi-supervised Dimensionality Reduction." In 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.
Повний текст джерелаInce, Kenan, and Ali Karci. "Collaboration graph as a new graph definition approach." In 2017 International Artificial Intelligence and Data Processing Symposium (IDAP). IEEE, 2017. http://dx.doi.org/10.1109/idap.2017.8090242.
Повний текст джерелаDeng, Xiang, and Zhongfei Zhang. "Graph-Free Knowledge Distillation for Graph Neural Networks." In 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.
Повний текст джерелаLin, Zhiping, and Zhao Kang. "Graph Filter-based Multi-view Attributed Graph Clustering." In 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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