Auswahl der wissenschaftlichen Literatur zum Thema „Artificial production“
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Zeitschriftenartikel zum Thema "Artificial production"
Çelik, Şenol. „MODELING AVOCADO PRODUCTION IN MEXICO WITH ARTIFICIAL NEURAL NETWORKS“. Engineering and Technology Journal 07, Nr. 10 (31.10.2022): 1605–9. http://dx.doi.org/10.47191/etj/v7i10.08.
Der volle Inhalt der QuelleFagundes Netto, Eduardo Barros, und Ilana Rosental Zalmon. „Artificial reefs: "Attraction versus Production"“. Revista Vértices 13, Nr. 1 (2011): 179–90. http://dx.doi.org/10.5935/1809-2667.20110010.
Der volle Inhalt der QuelleKagawa, S., F. Ito und K. Kagawa. „Production of artificial snow crystals“. Physics Education 34, Nr. 2 (01.01.1999): 92–95. http://dx.doi.org/10.1088/0031-9120/34/2/020.
Der volle Inhalt der QuelleBannat, 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, Nr. 1 (Januar 2011): 148–74. http://dx.doi.org/10.1109/tase.2010.2053534.
Der volle Inhalt der QuelleGupta, Shanker. „Artificial Intelligence and Pharmaceutical Production“. PDA Journal of Pharmaceutical Science and Technology 77, Nr. 3 (2023): 145. http://dx.doi.org/10.5731/pdajpst.2023.001423.
Der volle Inhalt der QuelleFarzana Bashir, Farzana Bashir, Yumna Sadef Yumna Sadef, Iqra Nadeem Iqra Nadeem, Romana Shahzadi Romana Shahzadi und 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, Nr. 6 (2022): 568. http://dx.doi.org/10.52568/001181/jcsp/44.06.2022.
Der volle Inhalt der QuelleSase, S., H. Ikeda und T. Takezono. „PLANT PRODUCTION IN THE ARTIFICIAL ENVIRONMENT“. Acta Horticulturae, Nr. 230 (September 1988): 323–28. http://dx.doi.org/10.17660/actahortic.1988.230.42.
Der volle Inhalt der QuelleMould, Richard F. „Artificial Production of Radioactive Elements 1934“. Zeitschrift für Medizinische Physik 19, Nr. 3 (August 2009): 155. http://dx.doi.org/10.1016/j.zemedi.2009.05.001.
Der volle Inhalt der QuelleDe Toni, Alberto, Guido Nassimbeni und Stefano Tonchia. „An artificial, intelligence‐based production scheduler“. Integrated Manufacturing Systems 7, Nr. 3 (Juni 1996): 17–25. http://dx.doi.org/10.1108/09576069610116896.
Der volle Inhalt der QuelleGoswami, Saurabh, und Dr Tej Singh Chouhan. „Artificial Lift to Boost Oil Production“. International Journal of Engineering Trends and Technology 26, Nr. 1 (25.08.2015): 1–5. http://dx.doi.org/10.14445/22315381/ijett-v26p201.
Der volle Inhalt der QuelleDissertationen zum Thema "Artificial production"
Ranawake, Manoja, und 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.
Der volle Inhalt der QuelleCECCONI, BIANCA. „Artificial Photosynthesis: Molecular Approaches for Photocatalytic Hydrogen Production“. Doctoral thesis, Università degli Studi di Milano-Bicocca, 2016. http://hdl.handle.net/10281/100472.
Der volle Inhalt der QuelleDaniel, John W. H. „Exploiting application parallelism in production systems“. Thesis, Cranfield University, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.279737.
Der volle Inhalt der QuelleAbukhader, Rami, und 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.
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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/.
Der volle Inhalt der QuelleDuttala, Satish. „Virtual material processing artificial intelligence based process selection“. Ohio : Ohio University, 2002. http://www.ohiolink.edu/etd/view.cgi?ohiou1174590077.
Der volle Inhalt der QuelleAndersen, 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.
Der volle Inhalt der QuelleThis 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.
Der volle Inhalt der QuelleQiu, Xueni, und 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.
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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.
Der volle Inhalt der QuelleOntologias 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.
Bücher zum Thema "Artificial production"
Northwest Power Planning Council (U.S.), Hrsg. Artificial production review. Portland, Or: Northwest Power Planning Council, 1999.
Den vollen Inhalt der Quelle findenJake, Krakauer, und Computer and Automated Systems Association of SME. Publications Development Dept. Marketing Services Dept., Hrsg. Smart manufacturing with artificial intelligence. Dearborn, Mich: Computer and Automated Systems Association of SME, Publications Development Dept., Marketing Services Division, 1987.
Den vollen Inhalt der Quelle findenWittrisch, Christian. Progressing cavity pumps: Oil well production artificial lift. Paris: Éditions Technip, 2013.
Den vollen Inhalt der Quelle findenDolgui, Alexandre, Alain Bernard, David Lemoine, Gregor von Cieminski und David Romero, Hrsg. 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.
Der volle Inhalt der QuelleDolgui, Alexandre, Alain Bernard, David Lemoine, Gregor von Cieminski und David Romero, Hrsg. 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.
Der volle Inhalt der QuelleDolgui, Alexandre, Alain Bernard, David Lemoine, Gregor von Cieminski und David Romero, Hrsg. 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.
Der volle Inhalt der QuelleDolgui, Alexandre, Alain Bernard, David Lemoine, Gregor von Cieminski und David Romero, Hrsg. 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.
Der volle Inhalt der QuelleDolgui, Alexandre, Alain Bernard, David Lemoine, Gregor von Cieminski und David Romero, Hrsg. 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.
Der volle Inhalt der QuelleNorthwest Power and Conservation Council (U.S.), Hrsg. Artificial production review and evaluation: Draft basin-level report. [Portland, Or.]: Northwest Power and Conservaiton Council, 2003.
Den vollen Inhalt der Quelle findenFazel, Famili A., Nau Dana S und Kim Steven H, Hrsg. Artificial intelligence applications in manufacturing. Menlo Park, CA: AAAI Press/MIT Press, 1992.
Den vollen Inhalt der Quelle findenBuchteile zum Thema "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.
Der volle Inhalt der QuelleMonostori, 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.
Der volle Inhalt der QuelleMonostori, 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.
Der volle Inhalt der Quellede 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.
Der volle Inhalt der QuelleKobayashi, Takeshi, und 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.
Der volle Inhalt der QuellePerez-Castanos, Sergi, Ausias Prieto-Roig, David Monzo und 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.
Der volle Inhalt der QuelleEsquivel, 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.
Der volle Inhalt der QuelleAyel, 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.
Der volle Inhalt der QuelleWichert, 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.
Der volle Inhalt der QuelleAmaro, Helena M., M. GlóRia Esquível, Teresa S. Pinto und 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.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Artificial production"
Kahali, K., R. Rai und 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.
Der volle Inhalt der Quelle„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.
Der volle Inhalt der QuelleHeinze, Lloyd R., Herald W. Winkler und 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.
Der volle Inhalt der QuelleOlivares Velazquez, Gonzalo Jesus, Carlos Javier Escalona Quintero und 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.
Der volle Inhalt der Quelle„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.
Der volle Inhalt der QuelleNicholls, Steven, Stuart Cunningham und 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.
Der volle Inhalt der QuelleAger, Joel W., Min-Hyung Lee und Ali Javey. „Solar fuels production by artificial photosynthesis“. In SOLAR CHEMICAL ENERGY STORAGE: SolChES. AIP, 2013. http://dx.doi.org/10.1063/1.4848078.
Der volle Inhalt der QuelleBaykal, Gokhan, und 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.
Der volle Inhalt der QuelleBarree, Robert D., und 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.
Der volle Inhalt der QuelleGupta, 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.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "Artificial production"
Davis, Wayne J., und 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.
Der volle Inhalt der QuelleMyhre, Kristian, Ethan Balkin, Draguna Vrabie und 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), Januar 2023. http://dx.doi.org/10.2172/1909817.
Der volle Inhalt der QuelleGyrya, Vitaliy, Evan Lieberman, Mark Kenamond und Mikhail Shashkov. Optimization of artificial viscosity in production codes based on Gaussian Regression surrogate models. Office of Scientific and Technical Information (OSTI), August 2022. http://dx.doi.org/10.2172/1881779.
Der volle Inhalt der QuelleNdoye, Aïssatou, Khadim Dia und Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.03. AKADEMIYA2063, Februar 2023. http://dx.doi.org/10.54067/acpf.03.
Der volle Inhalt der QuelleNdoye, Aïssatou, Khadim Dia und Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.10. AKADEMIYA2063, Februar 2023. http://dx.doi.org/10.54067/acpf.10.
Der volle Inhalt der QuelleNdoye, Aïssatou, Khadim Dia und Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.04. AKADEMIYA2063, Februar 2023. http://dx.doi.org/10.54067/acpf.04.
Der volle Inhalt der QuelleNdoye, Aïssatou, Khadim Dia und Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.08. AKADEMIYA2063, Februar 2023. http://dx.doi.org/10.54067/acpf.08.
Der volle Inhalt der QuelleNdoye, Aissatou, Khadim Dia und Racine Ly. The AAgWa Crop Production Forecasts Brief Series - Issue N.02. AKADEMIYA2063, Februar 2023. http://dx.doi.org/10.54067/acpf.02.
Der volle Inhalt der QuelleNdoye, Aïssatou, Khadim Dia und Racine Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.07. AKADEMIYA2063, Februar 2023. http://dx.doi.org/10.54067/acpf.07.
Der volle Inhalt der QuelleNdoye, Aïssatou, Khadim Dia und Racline Ly. AAgWa Crop Production Forecasts Brief Series - Issue N.05. AKADEMIYA2063, Februar 2023. http://dx.doi.org/10.54067/acpf.05.
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