Literatura científica selecionada sobre o tema "Artificial production"
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Artigos de revistas sobre o assunto "Artificial production"
Çelik, Şenol. "MODELING AVOCADO PRODUCTION IN MEXICO WITH ARTIFICIAL NEURAL NETWORKS". Engineering and Technology Journal 07, n.º 10 (31 de outubro de 2022): 1605–9. http://dx.doi.org/10.47191/etj/v7i10.08.
Texto completo da fonteFagundes Netto, Eduardo Barros, e Ilana Rosental Zalmon. "Artificial reefs: "Attraction versus Production"". Revista Vértices 13, n.º 1 (2011): 179–90. http://dx.doi.org/10.5935/1809-2667.20110010.
Texto completo da fonteKagawa, S., F. Ito e K. Kagawa. "Production of artificial snow crystals". Physics Education 34, n.º 2 (1 de janeiro de 1999): 92–95. http://dx.doi.org/10.1088/0031-9120/34/2/020.
Texto completo da fonteBannat, Alexander, Thibault Bautze, Michael Beetz, Juergen Blume, Klaus Diepold, Christoph Ertelt, Florian Geiger et al. "Artificial Cognition in Production Systems". IEEE Transactions on Automation Science and Engineering 8, n.º 1 (janeiro de 2011): 148–74. http://dx.doi.org/10.1109/tase.2010.2053534.
Texto completo da fonteGupta, Shanker. "Artificial Intelligence and Pharmaceutical Production". PDA Journal of Pharmaceutical Science and Technology 77, n.º 3 (2023): 145. http://dx.doi.org/10.5731/pdajpst.2023.001423.
Texto completo da fonteFarzana Bashir, Farzana Bashir, Yumna Sadef Yumna Sadef, Iqra Nadeem Iqra Nadeem, Romana Shahzadi Romana Shahzadi e Rubina Nelofer and Muhammad Tariq Rubina Nelofer and Muhammad Tariq. "Application of Artificial Neural Network Technique for the Production of Biotoxin". Journal of the chemical society of pakistan 44, n.º 6 (2022): 568. http://dx.doi.org/10.52568/001181/jcsp/44.06.2022.
Texto completo da fonteSase, S., H. Ikeda e T. Takezono. "PLANT PRODUCTION IN THE ARTIFICIAL ENVIRONMENT". Acta Horticulturae, n.º 230 (setembro de 1988): 323–28. http://dx.doi.org/10.17660/actahortic.1988.230.42.
Texto completo da fonteMould, Richard F. "Artificial Production of Radioactive Elements 1934". Zeitschrift für Medizinische Physik 19, n.º 3 (agosto de 2009): 155. http://dx.doi.org/10.1016/j.zemedi.2009.05.001.
Texto completo da fonteDe Toni, Alberto, Guido Nassimbeni e Stefano Tonchia. "An artificial, intelligence‐based production scheduler". Integrated Manufacturing Systems 7, n.º 3 (junho de 1996): 17–25. http://dx.doi.org/10.1108/09576069610116896.
Texto completo da fonteGoswami, Saurabh, e Dr Tej Singh Chouhan. "Artificial Lift to Boost Oil Production". International Journal of Engineering Trends and Technology 26, n.º 1 (25 de agosto de 2015): 1–5. http://dx.doi.org/10.14445/22315381/ijett-v26p201.
Texto completo da fonteTeses / dissertações sobre o assunto "Artificial production"
Ranawake, Manoja, e n/a. "Development of the artificial heart for serial production". University of Canberra. Industrial Design, 1995. http://erl.canberra.edu.au./public/adt-AUC20061113.151545.
Texto completo da fonteCECCONI, BIANCA. "Artificial Photosynthesis: Molecular Approaches for Photocatalytic Hydrogen Production". Doctoral thesis, Università degli Studi di Milano-Bicocca, 2016. http://hdl.handle.net/10281/100472.
Texto completo da fonteDaniel, John W. H. "Exploiting application parallelism in production systems". Thesis, Cranfield University, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.279737.
Texto completo da fonteAbukhader, Rami, e Samer Kakoore. "ARTIFICIAL INTELLIGENCE FOR VERTICAL FARMING – CONTROLLING THE FOOD PRODUCTION". Thesis, Mälardalens högskola, Akademin för innovation, design och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-53355.
Texto completo da fonteThe presentation was held in zoom
Wiegmann, Lars. "Cost-based shop control using artificial neural networks". Diss., This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-06062008-165820/.
Texto completo da fonteDuttala, Satish. "Virtual material processing artificial intelligence based process selection". Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174590077.
Texto completo da fonteAndersen, Mats Grønning. "Reservoir Production Optimization Using Genetic Algorithms and Artificial Neural Networks". Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2009. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9985.
Texto completo da fonteThis master's thesis has investigated how methods from artificial intelligence (AI) can be used to perform and augment production optimization of sub-sea oil reservoirs. The methods involved in this work are genetic algorithms (GAs) and artificial neural networks (ANNs). Different optimization schemes were developed by the author to perform production optimization on oil reservoir simulator models. The optimization involves finding good input parameter values for certain properties of the model, relating to how the wells in the oil reservoir operate. The research involves straightforward optimization using GAs, model approximations using ANNs, and also more advanced schemes using these methods together with other available technology to perform and augment reservoir optimization. With this work, the author has attempted to make a genuine contribution to all the research areas this master's thesis has touched upon, ranging from computer science and AI to process and petroleum engineering. The methods and approaches developed through this research were compared to the performance of each other and also to other approaches and methods used on the same challenges. The comparison found some of the developed optimization schemes to be very successful, while others were found to be less appropriate for solving the problem at hand. Some of the less successful approaches still showed considerable promise for simpler problems, leading the author to conclude that the developed schemes are suited for solving optimization problems in the petroleum industry.
Grip, Stefan. "Artificial spider silk : recombinant production and determinants for fiber formation /". Uppsala : Dept. of Biomedical Sciences and Veterinary Public Health and Dept. of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, 2008. http://epsilon.slu.se/2008100.pdf.
Texto completo da fonteQiu, Xueni, e 邱雪妮. "Artificial immune systems for job shop scheduling problems". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2012. http://hub.hku.hk/bib/B49617576.
Texto completo da fontepublished_or_final_version
Industrial and Manufacturing Systems Engineering
Doctoral
Doctor of Philosophy
Amado, António Correia de Campos Jordão. "An ontology to support evolvable production systems". Master's thesis, Faculdade de CIências e Tecnologia, 2008. http://hdl.handle.net/10362/3662.
Texto completo da fonteOntologias são cada vez mais um conceito fundamental no suporte à interoperabilidade. Além disso, elas também são fundamentais no suporte aos sistemas evolutivos de produção por duas razões principais. A primeira está relacionada com o facto de a clara identificação e formalização dos processos ser importante para a criação de módulos inteligentes. A segunda razão está relacionada com o facto de os sistemas evolutivos de produção (SEP) serem baseados em sistemas multi-agente que depende em muito, da construção das ontologias de modo a permitir a comunicação entre os agentes pertencentes ao sistema. Os principais conceitos por detrás da ontologia aqui desenvolvida serão os conceitos de processos, tarefas, produto e componentes de manufactura. Esta tese pretende mostrar não só a criação de uma ontologia, mas também de um agente de modo a ser possível a integração da ontologia num sistema multi-agente, no âmbito da manufactura inteligente respondendo às questões envolventes ao paradigma dos sistemas evolutivos de produção. Sabendo que os SEP são baseados em sistemas multi-agente, será também mostrado um agente que irá ter todo o controlo da ontologia e irá pertencer ao sistema de manufactura.
Livros sobre o assunto "Artificial production"
Northwest Power Planning Council (U.S.), ed. Artificial production review. Portland, Or: Northwest Power Planning Council, 1999.
Encontre o texto completo da fonteJake, Krakauer, e Computer and Automated Systems Association of SME. Publications Development Dept. Marketing Services Dept., eds. Smart manufacturing with artificial intelligence. Dearborn, Mich: Computer and Automated Systems Association of SME, Publications Development Dept., Marketing Services Division, 1987.
Encontre o texto completo da fonteWittrisch, Christian. Progressing cavity pumps: Oil well production artificial lift. Paris: Éditions Technip, 2013.
Encontre o texto completo da fonteDolgui, Alexandre, Alain Bernard, David Lemoine, Gregor von Cieminski e David Romero, eds. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85874-2.
Texto completo da fonteDolgui, Alexandre, Alain Bernard, David Lemoine, Gregor von Cieminski e David Romero, eds. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85910-7.
Texto completo da fonteDolgui, Alexandre, Alain Bernard, David Lemoine, Gregor von Cieminski e David Romero, eds. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85914-5.
Texto completo da fonteDolgui, Alexandre, Alain Bernard, David Lemoine, Gregor von Cieminski e David Romero, eds. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85902-2.
Texto completo da fonteDolgui, Alexandre, Alain Bernard, David Lemoine, Gregor von Cieminski e David Romero, eds. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85906-0.
Texto completo da fonteNorthwest Power and Conservation Council (U.S.), ed. Artificial production review and evaluation: Draft basin-level report. [Portland, Or.]: Northwest Power and Conservaiton Council, 2003.
Encontre o texto completo da fonteFazel, Famili A., Nau Dana S e Kim Steven H, eds. Artificial intelligence applications in manufacturing. Menlo Park, CA: AAAI Press/MIT Press, 1992.
Encontre o texto completo da fonteCapítulos de livros sobre o assunto "Artificial production"
Monostori, Laszlo. "Artificial Intelligence". In CIRP Encyclopedia of Production Engineering, 1–4. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-642-35950-7_16703-4.
Texto completo da fonteMonostori, Laszlo. "Artificial Intelligence". In CIRP Encyclopedia of Production Engineering, 47–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-20617-7_16703.
Texto completo da fonteMonostori, Laszlo. "Artificial Intelligence". In CIRP Encyclopedia of Production Engineering, 73–76. Berlin, Heidelberg: Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-53120-4_16703.
Texto completo da fontede Jong, Carmen. "Artificial Production of Snow". In Encyclopedia of Earth Sciences Series, 61–66. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-90-481-2642-2_29.
Texto completo da fonteKobayashi, Takeshi, e Nobuyuki Uozumi. "Production of Artificial Seeds". In Biochemical Engineering for 2001, 270–73. Tokyo: Springer Japan, 1992. http://dx.doi.org/10.1007/978-4-431-68180-9_72.
Texto completo da fontePerez-Castanos, Sergi, Ausias Prieto-Roig, David Monzo e Javier Colomer-Barbera. "Holistic Production Overview: Using XAI for Production Optimization". In Artificial Intelligence in Manufacturing, 423–36. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-46452-2_24.
Texto completo da fonteEsquivel, Gabriel. "Agency and Artificial Intelligence". In Design Technology and Digital Production, 63–86. New York: Routledge, 2024. http://dx.doi.org/10.4324/9781003251675-5.
Texto completo da fonteAyel, Jacqueline. "Decision coordination in production management". In Artificial Social Systems, 295–310. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58266-5_17.
Texto completo da fonteWichert, Andreas. "Quantum Production System". In Quantum Artificial Intelligence with Qiskit, 106–18. Boca Raton: Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003374404-8.
Texto completo da fonteAmaro, Helena M., M. GlóRia Esquível, Teresa S. Pinto e F. Xavier Malcata. "Hydrogen Production by Microalgae". In Natural and Artificial Photosynthesis, 231–41. Hoboken, NJ, USA: John Wiley & Sons Inc., 2013. http://dx.doi.org/10.1002/9781118659892.ch8.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Artificial production"
Kahali, K., R. Rai e R. K. Mukerjie. "Artificial Lift Methods for Marginal Fields". In SPE Production Operations Symposium. Society of Petroleum Engineers, 1991. http://dx.doi.org/10.2118/21696-ms.
Texto completo da fonte"Artificial organelle for energy production in artificial cell". In ECAL 2011: The 11th European Conference on Artificial Life. MIT Press, 2011. http://dx.doi.org/10.7551/978-0-262-29714-1-ch067.
Texto completo da fonteHeinze, Lloyd R., Herald W. Winkler e James F. Lea. "Decision Tree for Selection of Artificial Lift Method". In SPE Production Operations Symposium. Society of Petroleum Engineers, 1995. http://dx.doi.org/10.2118/29510-ms.
Texto completo da fonteOlivares Velazquez, Gonzalo Jesus, Carlos Javier Escalona Quintero e Eddy Ramon Gimenez. "Production Monitoring Using Artificial Intelligence". In SPE Intelligent Energy International. Society of Petroleum Engineers, 2012. http://dx.doi.org/10.2118/149594-ms.
Texto completo da fonte"Agent-based Manufacturing in a Production Grid - Adapting a Production Grid to the Production Paths". In International Conference on Agents and Artificial Intelligence. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004758803420349.
Texto completo da fonteNicholls, Steven, Stuart Cunningham e Richard Picking. "Collaborative Artificial Intelligence in Music Production". In AM'18: Sound in Immersion and Emotion. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3243274.3243311.
Texto completo da fonteAger, Joel W., Min-Hyung Lee e Ali Javey. "Solar fuels production by artificial photosynthesis". In SOLAR CHEMICAL ENERGY STORAGE: SolChES. AIP, 2013. http://dx.doi.org/10.1063/1.4848078.
Texto completo da fonteBaykal, Gokhan, e Murat Cenk Erdurak. "Artificial Sand Production for Geotechnical Uses". In International Symposium on Advances in Ground Technology & Geo-Information. Singapore: Research Publishing Services, 2011. http://dx.doi.org/10.3850/978-981-07-0188-8_p078.
Texto completo da fonteBarree, Robert D., e Hemanta Mukherjee. "Design Guidelines for Artificial Barrier Placement and Their Impact on Fracture Geometry". In SPE Production Operations Symposium. Society of Petroleum Engineers, 1995. http://dx.doi.org/10.2118/29501-ms.
Texto completo da fonteGupta, Siddhartha. "Staircase Lifting of Oil using Venturi Principle - A New Artificial Lift Technique". In Production and Operations Symposium. Society of Petroleum Engineers, 2007. http://dx.doi.org/10.2118/106092-ms.
Texto completo da fonteRelatórios de organizações sobre o assunto "Artificial production"
Davis, Wayne J., e Albert T. Jones. Artificial intelligence techniques in real-time production scheduling. Gaithersburg, MD: National Institute of Standards and Technology, 1989. http://dx.doi.org/10.6028/nist.ir.88-3891.
Texto completo da fonteMyhre, Kristian, Ethan Balkin, Draguna Vrabie e Danda Rawat. Artificial Intelligence for Isotopes: Report on the 2022 Workshop on Artificial Intelligence for Isotope R&D and Production. Office of Scientific and Technical Information (OSTI), janeiro de 2023. http://dx.doi.org/10.2172/1909817.
Texto completo da fonteGyrya, Vitaliy, Evan Lieberman, Mark Kenamond e Mikhail Shashkov. Optimization of artificial viscosity in production codes based on Gaussian Regression surrogate models. Office of Scientific and Technical Information (OSTI), agosto de 2022. http://dx.doi.org/10.2172/1881779.
Texto completo da fonteNdoye, Aïssatou, Khadim Dia e Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.03. AKADEMIYA2063, fevereiro de 2023. http://dx.doi.org/10.54067/acpf.03.
Texto completo da fonteNdoye, Aïssatou, Khadim Dia e Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.10. AKADEMIYA2063, fevereiro de 2023. http://dx.doi.org/10.54067/acpf.10.
Texto completo da fonteNdoye, Aïssatou, Khadim Dia e Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.04. AKADEMIYA2063, fevereiro de 2023. http://dx.doi.org/10.54067/acpf.04.
Texto completo da fonteNdoye, Aïssatou, Khadim Dia e Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.08. AKADEMIYA2063, fevereiro de 2023. http://dx.doi.org/10.54067/acpf.08.
Texto completo da fonteNdoye, Aissatou, Khadim Dia e Racine Ly. The AAgWa Crop Production Forecasts Brief Series - Issue N.02. AKADEMIYA2063, fevereiro de 2023. http://dx.doi.org/10.54067/acpf.02.
Texto completo da fonteNdoye, Aïssatou, Khadim Dia e Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.07. AKADEMIYA2063, fevereiro de 2023. http://dx.doi.org/10.54067/acpf.07.
Texto completo da fonteNdoye, Aïssatou, Khadim Dia e Racline Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.05. AKADEMIYA2063, fevereiro de 2023. http://dx.doi.org/10.54067/acpf.05.
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