Academic literature on the topic 'Machines'
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Journal articles on the topic "Machines"
M. Brandao, Iago, and Cesar da Costa. "FAULT DIAGNOSIS OF ROTARY MACHINES USING MACHINE LEARNING." Eletrônica de Potência 27, no. 03 (September 22, 2022): 1–8. http://dx.doi.org/10.18618/rep.2022.3.0013.
Full textFischer, Peer. "A machine from machines." Nature Physics 14, no. 11 (July 23, 2018): 1072–73. http://dx.doi.org/10.1038/s41567-018-0247-0.
Full textCaye, Pierre. "La machine des machines." Le Visiteur N° 27, no. 1 (March 1, 2022): 19–24. http://dx.doi.org/10.3917/visit.027.0020.
Full textZhang, Yongdeng, María Lara-Tejero, Jörg Bewersdorf, and Jorge E. Galán. "Visualization and characterization of individual type III protein secretion machines in live bacteria." Proceedings of the National Academy of Sciences 114, no. 23 (May 22, 2017): 6098–103. http://dx.doi.org/10.1073/pnas.1705823114.
Full textIkegami, Takashi, and Takashi Hashimoto. "Active Mutation in Self-Reproducing Networks of Machines and Tapes." Artificial Life 2, no. 3 (April 1995): 305–18. http://dx.doi.org/10.1162/artl.1995.2.3.305.
Full textSabeti, Behnam, Hossein Abedi Firouzjaee, Reza Fahmi, Saeid Safavi, Wenwu Wang, and Mark D. Plumbley. "Credit Risk Rating Using State Machines and Machine Learning." International Journal of Trade, Economics and Finance 11, no. 6 (December 2020): 163–68. http://dx.doi.org/10.18178/ijtef.2020.11.6.683.
Full textUsubamatov, R., and R. Bhuvenesh. "Method of Assessing the Number of Technicians in Service of Manufacturing System." Journal for Manufacturing Science and Production 15, no. 3 (September 15, 2015): 243–48. http://dx.doi.org/10.1515/jmsp-2015-0005.
Full textAwah, Chukwuemeka Chijioke, and Ogbonnaya Inya Okoro. "Torque characteristics of double-stator permanent magnet synchronous machines." Archives of Electrical Engineering 66, no. 4 (December 20, 2017): 815–28. http://dx.doi.org/10.1515/aee-2017-0062.
Full textJi Chan, Yum. "Improvements to Linear and Nonlinear Models of Machine Key Components." Impact 2021, no. 1 (February 5, 2021): 15–17. http://dx.doi.org/10.21820/23987073.2021.1.15.
Full textChen, Yizhi, Guishu Zhao, Zhengliang Li, Zhe Chang, Shuye Ding, and Yuheng Zhou. "Electromagnetic Performance Analysis of Dual-Three-Phase Dual-Rotor Flux-Switching Permanent Magnet Machines." Energies 17, no. 9 (April 28, 2024): 2102. http://dx.doi.org/10.3390/en17092102.
Full textDissertations / Theses on the topic "Machines"
Tebbifakhr, Amirhossein. "Machine Translation For Machines." Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/320504.
Full textDinakar, Karthik. "Lensing Machines : representing perspective in machine learning." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112523.
Full textCataloged from PDF version of thesis. Due to the condition of the original material with text runs off the edges of the pages, the reproduction may have unavoidable flaws.
Includes bibliographical references (pages 167-172).
Generative models are venerated as full probabilistic models that randomly generate observable data given a set of latent variables that cannot be directly observed. They can be used to simulate values for variables in the model, allowing analysis by synthesis or model criticism, towards an iterative cycle of model specification, estimation, and critique. However, many datasets represent a combination of several viewpoints - different ways of looking at the same data that leads to various generalizations. For example, a corpus that has data generated by multiple people may be mixtures of several perspectives and can be viewed with different opinions by others. It isn't always possible to represent the viewpoints by clean separation, in advance, of examples representing each perspective and train a separate model for each point of view. In this thesis, we introduce lensing, a mixed-initiative technique to (i) extract lenses or mappings between machine-learned representations and perspectives of human experts, and (2) generate lensed models that afford multiple perspectives of the same dataset. We explore lensing of latent variable model in their configuration, parameter and evidential spaces. We apply lensing to three health applications, namely imbuing the perspectives of experts into latent variable models that analyze adolescent distress and crisis counseling.
by Karthik Dinakar.
Ph. D.
Le, Flohic Julien. "Vers une commande basée modèle des machines complexes : application aux machines-outils et machines d'essais mécaniques." Thesis, Clermont-Ferrand 2, 2015. http://www.theses.fr/2015CLF22551/document.
Full textNowadays, the requirements in productivity and costs mastering have forced the industrial manufacturers to develop new kind of mechanisms. Thus, the complexity of the machine-tools structures and machining processes has increased and new challenges have emerged : flexible structure, vibration, non-negligible dynamic effects, etc ... However, their implementation still comes from methods used for conventional machines. These works are thus about defining overall strategies including consideration of the kind of structure used and the task to realise. Two illustrative contexts are used. In the context of machining, we propose a generic tuning method based on kinematic and dynamic model of machine-tools structure that requires only a few manual modifications, in order to save time for implementation. A new computed torque control law is proposed, it reduces vibration phenomena in dynamical demanding phases. In the context of the mechanical tests, the objective is to demonstrate the feasibility of using parallel machines with 6 degrees of freedom in the context of mechanical tests, whereas the boundary conditions are perfectly controlled. We propose an instrumentation and control scheme that is able to perform mechanical tests with a maximum error of about 0.40 mu m, even in the case of very rigid specimen (concrete for example)
Bromberg, Paul. "Clockworks, hot pots, heat machines, and chemical machines : the contrivance aspect of the machine metaphor." Thesis, University of British Columbia, 1991. http://hdl.handle.net/2429/30405.
Full textGraduate and Postdoctoral Studies
Graduate
Lanarolle, W. D. Gamini. "Machine setting automation for circular weft-knitting machines." Thesis, University of Manchester, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.488354.
Full textKent, W. F. "Machine learning for parameter identification of electric induction machines." Thesis, University of Liverpool, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.399178.
Full textSokola, Matija. "Vector control of induction machines using improved machine models." Thesis, Liverpool John Moores University, 1998. http://researchonline.ljmu.ac.uk/4899/.
Full textPark, Yongwon Baskiyar Sanjeev. "Dynamic task scheduling onto heterogeneous machines using Support Vector Machine." Auburn, Ala, 2008. http://repo.lib.auburn.edu/EtdRoot/2008/SPRING/Computer_Science_and_Software_Engineering/Thesis/Park_Yong_50.pdf.
Full textThorén, Daniel. "Radar based tank level measurement using machine learning : Agricultural machines." Thesis, Linköpings universitet, Programvara och system, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176259.
Full textRomano, Donato. "Machine Learning algorithms for predictive diagnostics applied to automatic machines." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22319/.
Full textBooks on the topic "Machines"
Sibikin, Mihail, A. N. Chernenko, and Yuriya Voronkin. Technological equipment. Metal cutting machines. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1061257.
Full textIannucci, Robert A. Parallel Machines: Parallel Machine Languages. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-1543-8.
Full textKatharina, Dohm, Stahlhut Heinz, Schirn Kunsthalle Frankfurt, and Museum Jean Tinguely Basel, eds. Kunstmaschinen Maschinenkunst =: Art machines Machine art. Heidelberg: Kehrer, 2007.
Find full textE, St Andre Ralph. Simple machines made simple. Englewood, Colo: Teacher Ideas Press, 1993.
Find full textHewitt, Sally. Machines we use. New York: Children's Press, 1998.
Find full textBains, Rae. Simple machines. Mahwah, N.J: Troll Associates, 1985.
Find full textHewitt, Sally. Using machines. London: Chrysalis Children's, 2005.
Find full textill, Bruner Stephen, ed. Simple machines. New York: Dutton, 1989.
Find full textDeane-Pratt, Ade. Simple Machines. New York: PowerKids Press, 2012.
Find full textHewitt, Sally. Machines we use. New York: Children's Press, 2007.
Find full textBook chapters on the topic "Machines"
Lee, Gerald Stanley. "The Machines' Machines." In Crowds, 264–65. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003304449-47.
Full textDudley, Leonard. "Machines to Make Machines." In The Singularity of Western Innovation, 167–79. New York: Palgrave Macmillan US, 2017. http://dx.doi.org/10.1057/978-1-137-39822-2_8.
Full textKeighley, H. J. P., F. R. McKim, A. Clark, and M. J. Harrison. "Machines." In Mastering Physics, 62–66. London: Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-86062-3_7.
Full textBarrass, Robert. "Machines." In Mastering Science, 127–37. London: Macmillan Education UK, 1991. http://dx.doi.org/10.1007/978-1-349-11075-9_12.
Full textKeighley, H. J. P., F. R. McKim, A. Clark, and M. J. Harrison. "Machines." In Mastering Physics, 62–66. London: Macmillan Education UK, 1986. http://dx.doi.org/10.1007/978-1-349-08849-2_7.
Full textPhipps, Claude. "Machines." In No Wonder You Wonder!, 141–58. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-21680-5_13.
Full textYiannoudes, Socrates. "Machines." In Architecture in Digital Culture, 7–50. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003241287-2.
Full textWallace, Jeff. "Machines." In D.H. Lawrence, Science and the Posthuman, 202–32. London: Palgrave Macmillan UK, 2005. http://dx.doi.org/10.1057/9780230287631_8.
Full textNichols, Daniel H. "Machines." In Physics for Technology, 107–22. Second edition. | Boca Raton : CRC Press, Taylor & Francis: CRC Press, 2018. http://dx.doi.org/10.1201/9781351207270-6.
Full textSanto, Diana Espírito. "Machines." In Spirited Histories, 31–59. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003140818-2.
Full textConference papers on the topic "Machines"
Katz, Reuven, and Yoram Koren. "Reconfigurable Machines." In ASME 2008 9th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2008. http://dx.doi.org/10.1115/esda2008-59056.
Full textWang, Sunran, and Hongyu Di. "Machine intelligence and intelligent machines." In 2011 International Conference on Fluid Power and Mechatronics (FPM). IEEE, 2011. http://dx.doi.org/10.1109/fpm.2011.6045814.
Full textUmeda, Yasushi, Shinsuke Kondoh, Roberto Kiyoshi Sato, Tomohiko Sakao, and Tetsuo Tomiyama. "The Development of Reconfigurable Cellular Machines." In ASME 1998 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/imece1998-1010.
Full textKozhenkov, A., E. Z. Naeini, and K. Prindle. "Machine Learning and Learning from Machines." In Progress’19. European Association of Geoscientists & Engineers, 2019. http://dx.doi.org/10.3997/2214-4609.201953052.
Full textCentner, Matthias. "Machine design software for induction machines." In 2008 International Conference on Electrical Machines (ICEM). IEEE, 2008. http://dx.doi.org/10.1109/icelmach.2008.4800202.
Full textNaif, Ali Safdar, and Hong Zhou. "Elliptical Machines Using Adjustable Linkages." In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-70047.
Full textEllery, Alex. "The machine to end all machines — Towards self-replicating machines on the moon." In 2018 IEEE Aerospace Conference. IEEE, 2018. http://dx.doi.org/10.1109/aero.2018.8396378.
Full textGim, Taeweon, Chang-Ho Lee, Jae-Yong Ha, and Tae-Hyoung Kim. "Machine Tool Technologies for High Performance Machines." In 2008 International Conference on Smart Manufacturing application (ICSMA). IEEE, 2008. http://dx.doi.org/10.1109/icsma.2008.4505647.
Full textLee, Yegi, Shin Kim, Kyoungro Yoon, Hanshin Lim, Sangwoon Kwak, and Hyon-Gon Choo. "Machine-Attention-based Video Coding for Machines." In 2023 IEEE International Conference on Image Processing (ICIP). IEEE, 2023. http://dx.doi.org/10.1109/icip49359.2023.10222037.
Full textElton, Mark, Ryder Winck, and Wayne Book. "Command Feedback for Position Control of Hydraulic Machines." In ASME/BATH 2013 Symposium on Fluid Power and Motion Control. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fpmc2013-4460.
Full textReports on the topic "Machines"
Webb, Philip. Deployment of Parallel Kinematic Machines in Manufacturing. SAE International, April 2022. http://dx.doi.org/10.4271/epr2022010.
Full textWarde, Cardinal. Optical Inference Machines. Fort Belvoir, VA: Defense Technical Information Center, June 1988. http://dx.doi.org/10.21236/ada197880.
Full textKlarer, P. R. Flocking small smart machines: An experiment in cooperative, multi-machine control. Office of Scientific and Technical Information (OSTI), March 1998. http://dx.doi.org/10.2172/573344.
Full textSlattery, Kevin, and Kirk A. Rogers. Internal Boundaries of Metal Additive Manufacturing: Future Process Selection. SAE International, March 2022. http://dx.doi.org/10.4271/epr2022006.
Full textChien, Andrew A. High Performance Virtual Machines. Fort Belvoir, VA: Defense Technical Information Center, July 2002. http://dx.doi.org/10.21236/ada408475.
Full textHenry, R. S. Parallel Kinematic Machines (PKM). Office of Scientific and Technical Information (OSTI), March 2000. http://dx.doi.org/10.2172/752338.
Full textFisch, Nathaniel J. Alpha Channeling in Mirror Machines. Office of Scientific and Technical Information (OSTI), July 2014. http://dx.doi.org/10.2172/1137116.
Full textHarary, Howard, and Shaw Feng. U.S. Navy coordinate measuring machines:. Gaithersburg, MD: National Institute of Standards and Technology, 1993. http://dx.doi.org/10.6028/nist.ir.5379.
Full textBarbacci, Mario R. Software Support for Hetergeneous Machines. Fort Belvoir, VA: Defense Technical Information Center, May 1986. http://dx.doi.org/10.21236/ada175237.
Full textCrago, Stephen. Abstract Machines for Polymorphous Computing. Fort Belvoir, VA: Defense Technical Information Center, December 2007. http://dx.doi.org/10.21236/ada476792.
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