Gotowe bibliografie tematyczne / And Machine

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Gotowa bibliografia na temat „And Machine”

Autor: Grafiati

Data publikacji: 2 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "And Machine"

M. Brandao, Iago, and Cesar da Costa. "FAULT DIAGNOSIS OF ROTARY MACHINES USING MACHINE LEARNING." Eletrônica de Potência 27, no. 03 (2022): 1–8. http://dx.doi.org/10.18618/rep.2022.3.0013.

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Zhong, Wenbin, Wenhan Zeng, Guoyu Yu, and Xiangqian Jiang. "Development of an on-machine surface measurement system for an ultra-precision five-axis machine." MATEC Web of Conferences 401 (2024): 13007. http://dx.doi.org/10.1051/matecconf/202440113007.

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Ever-increasing demand for complex freeform surfaces machined by ultra-precision five-axis machines necessitates efficient on-machine surface measurement (OMSM) systems. While OMSM offers significant advantages in metrology efficiency and machining accuracy, integrating it with these machines presents a challenge due to complex data synchronization and processing. This paper addresses this challenge by proposing a dedicated controller for synchronized acquisition of sensor measurement data and machine coordinate data. Additionally, a straightforward sensor alignment method is presented. The ef

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Nekhaev, Andrey. "Machine Wars: Machina Humeana." Sotsiologicheskoe Obozrenie / Russian Sociological Review 14, no. 3 (2015): 9–47. http://dx.doi.org/10.17323/1728-192x-2015-3-9-47.

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Fischer, Peer. "A machine from machines." Nature Physics 14, no. 11 (2018): 1072–73. http://dx.doi.org/10.1038/s41567-018-0247-0.

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Caye, Pierre. "La machine des machines." Le Visiteur N° 27, no. 1 (2022): 19–24. http://dx.doi.org/10.3917/visit.027.0020.

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La ville est la grande affaire de notre temps. Depuis 2008, plus de la moitié de la population mondiale vit en ville. Et nous serons probablement près de 60 % en 2030. L’attraction démographique de la ville est renforcée par son dynamisme économique. Elle est devenue le lieu central de la production et de l’innovation, le cœur du système productif et de son organisation économique. La ville contemporaine apparaît d’abord comme un mégasystème technique, le système des systèmes, l’infrastructure qui rassemble à la fois les superstructures et les autres infrastructures ou, mieux encore, la machin

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Sabeti, 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 (2020): 163–68. http://dx.doi.org/10.18178/ijtef.2020.11.6.683.

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Credit risk is the possibility of a loss resulting from a borrower’s failure to repay a loan or meet contractual obligations. With the growing number of customers and expansion of businesses, it’s not possible or at least feasible for banks to assess each customer individually in order to minimize this risk. Machine learning can leverage available user data to model a behavior and automatically estimate a credit score for each customer. In this research, we propose a novel approach based on state machines to model this problem into a classical supervised machine learning task. The proposed sta

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Levi, Federico. "A machine to help machines." Nature Physics 15, no. 12 (2019): 1210. http://dx.doi.org/10.1038/s41567-019-0753-8.

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Trott, David. "Deceiving Machines: Sabotaging Machine Learning." CHANCE 33, no. 2 (2020): 20–24. http://dx.doi.org/10.1080/09332480.2020.1754067.

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Raval, Shreeom, Harshil Raval, Darshit Seta, and Rathour Anilkumar. "DESIGN AND DEVELOPMENT OF MULTI SPINDLE DRILLING MACHINE." International Journal of Innovative Research in Advanced Engineering VII, no. VI (2020): 299–304. https://doi.org/10.26562/ijirae.2020.v0706.003.

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This paper discusses the case study and comparison with productivity of component using traditional drilling machine to Multi spindle drilling machine. The growth of Indian manufacturing sector depends upon many factors, one of the major factors being manufacturing efficiency with which the operation /activities are carried out in the organization. Productivity can be improved by reducing the total machining time, combining the operations, etc. There are frequent needs of tightening and loosening screws, drilling, tapping, boring and grinding operational machines. Huge and complicated designed

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Sayapin, S. N., O. O. Bryyndina, and P. G. Vanina. "New Approach to Three-Coordinate Milling of Large-Sized Surfaces of Second Order." Proceedings of Higher Educational Institutions. Маchine Building, no. 12 (741) (December 2021): 19–28. http://dx.doi.org/10.18698/0536-1044-2021-12-19-28.

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The study introduces a new approach to precision machining of large-sized surfaces of second order on a three-coordinate horizontal milling machine. The new technology does not require the use of unique large-size boring lathes or five-axis milling machines. Three-axis horizontal milling machines do not need to be equipped with additional equipment that provides the workpiece with the missing rotational and translational movements relative to the machine table. The proposed technology is based on the use of a new approach that combines the geometric parameters of the second-order machined surf

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Rozprawy doktorskie na temat "And Machine"

Tebbifakhr, Amirhossein. "Machine Translation For Machines." Doctoral thesis, Università degli studi di Trento, 2021. http://hdl.handle.net/11572/320504.

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Traditionally, Machine Translation (MT) systems are developed by targeting fluency (i.e. output grammaticality) and adequacy (i.e. semantic equivalence with the source text) criteria that reflect the needs of human end-users. However, recent advancements in Natural Language Processing (NLP) and the introduction of NLP tools in commercial services have opened new opportunities for MT. A particularly relevant one is related to the application of NLP technologies in low-resource language settings, for which the paucity of training data reduces the possibility to train reliable services. In this s

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Pincumbe, Nicholas James. "Deus ex machina the God machine /." Thesis, [Tuscaloosa, Ala. : University of Alabama Libraries], 2009. http://purl.lib.ua.edu/20.

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Dinakar, Karthik. "Lensing Machines : representing perspective in machine learning." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112523.

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Thesis: Ph. D., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2017.<br>Cataloged 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.<br>Includes bibliographical references (pages 167-172).<br>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, al

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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.

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Roderus, Jens, Simon Larson, and Eric Pihl. "Hadoop scalability evaluation for machine learning algorithms on physical machines : Parallel machine learning on computing clusters." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-20102.

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The amount of available data has allowed the field of machine learning to flourish. But with growing data set sizes comes an increase in algorithm execution times. Cluster computing frameworks provide tools for distributing data and processing power on several computer nodes and allows for algorithms to run in feasible time frames when data sets are large. Different cluster computing frameworks come with different trade-offs. In this thesis, the scalability of the execution time of machine learning algorithms running on the Hadoop cluster computing framework is investigated. A recent version o

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Kent, 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.

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This thesis is concerned with the application of simulated evolution (SE) to the steady-state parameter identification problem of a simulated and real 3-phase induction machine, over the no-load direct-on-line start period. In the case of the simulated 3-phase induction machine, the Kron's two-axis dynamic mathematical model was used to generate the real and simulated system responses where the induction machine parameters remain constant over the entire range of slip. The model was used in the actual value as well as the per-unit system, and the parameters were estimated using both the geneti

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Sokola, Matija. "Vector control of induction machines using improved machine models." Thesis, Liverpool John Moores University, 1998. http://researchonline.ljmu.ac.uk/4899/.

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El, Fawal Ahmad Hani. "Machine-to-machine communication congestion mechanism." Thesis, Brest, École nationale supérieure de techniques avancées Bretagne, 2018. http://www.theses.fr/2018ENTA0010/document.

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Nos travaux s’orientent vers les problèmes de réseaux sans fil liés à la coexistence des communications machine-to-machine (M2M) et humain-humain (H2H). On souhaite souligner l'impact mutuel entre les trafics M2M et H2H dans un contexte d’Internet des objets (IoT : Internet Of Things) en particulier lors des catastrophes. Les communications M2M, qui devraient connaître une roissance exponentielle dans un avenir proche, constitueront un facteur important pour affecter tous les réseaux mobiles. On prévoit un grand nombre d'appareils M2M qui entraînera inévitablement des problèmes de saturation e

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Wright, David N. "Machine." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ47767.pdf.

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Hack, Byron Wallis John 1963. "Man to machine, machine to machine and machine to instrument interfaces for teleoperation of a fluid handling laboratory." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276764.

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The purpose of this thesis is the design of the software necessary for teleoperation of a fluid handling laboratory. It does not include the implementation of this software. The laboratory for which it is designed is being developed at the University of Arizona, and is a model of the fluid handling laboratory aboard Space Station. The software includes man/machine, machine/machine, and machine/instrument interfaces. The man/machine interface is menu driven and consists of high level commands which are independent of the devices in the laboratory. The machine/machine interface is also device in

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Książki na temat "And Machine"

Iannucci, Robert A. Parallel Machines: Parallel Machine Languages. Springer US, 1990. http://dx.doi.org/10.1007/978-1-4613-1543-8.

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David, Barlam, and Nystrom Frederic E, eds. Machine elements: Life and design. CRC Press, 2008.

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Katharina, Dohm, Stahlhut Heinz, Schirn Kunsthalle Frankfurt, and Museum Jean Tinguely Basel, eds. Kunstmaschinen Maschinenkunst =: Art machines Machine art. Kehrer, 2007.

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Schie, Hidde van, 1978- writer of supplementary textual content, ed. Idiosyncratic machine: Idiosyncratische machine. Art Paper Editions, 2019.

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Esposito, Anthony. Machine design. 2nd ed. Delmar Publishing, 1991.

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Narayana, K. L. Machine drawing. 3rd ed. New Age International (P) Ltd., Publishers, 2006.

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Esposito, Anthony. Machine design. 2nd ed. Delmar Publishers, 1991.

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Adolphsen, Peter. Machine. MacAdam/Cage, 2007.

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Adolphsen, Peter. Machine. Samleren, 2006.

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Hamill, Denis. Machine. Sphere, 1986.

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Części książek na temat "And Machine"

Bringsjord, Selmer, Naveen Sundar Govindarajulu, Shreya Banerjee, and John Hummel. "Do Machine-Learning Machines Learn?" In Studies in Applied Philosophy, Epistemology and Rational Ethics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96448-5_14.

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Xu, Jin. "Probe Machine." In Biological Computing. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-3870-3_9.

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Abstract This chapter introduces an underlying fully parallel computing model—the probe machine. Unlike traditional Turing machines, the probe machine overcomes the limitations of sequential computation by enabling any two data to process information simultaneously without relying on linear adjacency. This fully parallel computing mechanism makes the probe machine highly efficient in solving complex problems, typically requiring only one or a few probe operations to obtain all solutions.

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Bourgeau, Thomas, Hakima Chaouchi, and Pinar Kirci. "Machine-to-Machine Communications." In Next-Generation Wireless Technologies. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5164-7_11.

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Sathi, Arvind. "Machine-to-Machine Interfaces." In Cognitive (Internet of) Things. Palgrave Macmillan US, 2016. http://dx.doi.org/10.1057/978-1-137-59466-2_9.

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Knoll, Thomas, Alexander Lautz, and Nicolas Deuß. "Machine-To-Machine Communication." In Handbuch Industrie 4.0. Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-58530-6_84.

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Zhao, Xin, Shiyu Hu, and Xu-Cheng Yin. "Machine-To-Machine Comparisons." In Advances in Computer Vision and Pattern Recognition. Springer Nature Singapore, 2025. https://doi.org/10.1007/978-981-96-4558-9_5.

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Snider, Alvin. "Machine." In Encyclopedia of Renaissance Philosophy. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-02848-4_942-1.

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Weik, Martin H. "machine." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_10798.

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Heßler, Martina. "Machine." In Handbook of the Anthropocene. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25910-4_157.

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Unal, Ceyda, Muhammed Taha Zeren, Furkan Kaya, et al. "Ex Machine, Next Machine, and Still Biased Machine." In Artificial Intelligence. CRC Press, 2024. http://dx.doi.org/10.1201/9781003483571-14.

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Streszczenia konferencji na temat "And Machine"

Al-ani, M. M. J., S. P. Lee, and J. M. Allport. "Integrated Electrical Machine-Turbo Machinery." In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-63429.

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Global warming and climate change due to rising levels of greenhouse gases have placed significant pressure on the automobile industry to adopt more clean fuel, transportation electrification, and waste energy recovery technologies. As a result, several electrically assisted or driven turbo-machines have been proposed such as turbochargers, turbo-compressors, and electrical boosters. Therefore, the electrification of turbo-machinery has been trending for the past decade. All the systems mentioned above consist of a conventional electrical machine connected to the turbo-machinery by a shaft, ma

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Bojic, Iva, and Mario Kusek. "Self-synchronization of Nonidentical Machines in Machine-to-Machine Systems." In 2013 IEEE 7th International Conference on Self-Adaptive and Self-Organizing Systems (SASO). IEEE, 2013. http://dx.doi.org/10.1109/saso.2013.39.

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Wang, 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.

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Bacon, David F. "Session details: Machine machinery." In OOPSLA05: ACM SIGPLAN Object Oriented Programming Systems and Applications Conference. ACM, 2005. http://dx.doi.org/10.1145/3244455.

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Morris, Cameron, Vedang Chauhan, and Sunny Panchal. "AI-Based Machine Condition Monitoring System." In ASME 2024 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2024. https://doi.org/10.1115/imece2024-144456.

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Abstract This paper describes the approach for an AI-based machine condition monitoring system that utilizes machine learning (ML) and deep learning (DL) techniques to monitor and analyze the condition of machines in various industries. This system employs advanced algorithms and ML models to continuously collect data from sensors, such as vibration sensors, level sensors, and vision sensors, among others. By analyzing this data, the AI system can detect anomalies, predict potential failures, and provide valuable insights into the health and performance of the machines. To demonstrate the feas

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Rasnic, Russ, and Joe A. Capps. "Machine Guarding, Lockout/Tagout, and the Interlocked Guard." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60445.

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Unguarded or poorly guarded machinery claims many limbs and lives each year. Similarly, injuries from machinery undergoing maintenance and/or cleaning operations are far too numerous. Machine guarding and related machinery violations continue to rank in the top 10 in OSHA citations. The lists of types of machines and their associated hazards, as well as the types of injuries are too lengthy to mention. Maximizing the effectiveness of safeguards is essential for protecting workers from preventable injuries. One of the most effective means of machinery guarding is the interlocking guard, which i

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Otsubo, Tatsuki, Takanori Yazawa, Jinhui Wang, and Tomonori Kato. "Diamond Fly Cutting Applied to Improve Curved Surface Machining by In-Process Measurement and Control on an Ordinary Milling Machine." In JSME 2020 Conference on Leading Edge Manufacturing/Materials and Processing. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/lemp2020-8590.

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Abstract To improve the accuracy of the machined surface produced by an ordinary milling machine, a system called workpiece-referred form accuracy control (WORFAC) was developed and confirmed in diamond turning. However, non-rotational symmetric surface structures, such as V-grooves, pyramid structures, F-theta lenses, and other free form surface cannot be machined by diamond turning. We proposed to improve the form accuracy of a machined surface produced by an ordinary milling machine by diamond fly cutting using controlled cutting with reference surface (CCRS), an in-process measurement and

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Baek, Ji Min, Kyeong Ha Lee, Seung Ho Lee, and Ja Choon Koo. "Cost Effective On-Site Fault Diagnosis Home Appliance Using a Smart Phone and Support Vector Machine." In ASME 2019 28th Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/isps2019-7445.

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Abstract One of the common rotating machines of the consumer electronics might be a washing machine. The rotating machinery normally suffers mechanical failures even during daily operations that results in poor performance or shortening lifetime of the machine. Therefore, engineers have been interested in the earliest fault diagnosis of the rotating machine. Existing fault diagnosis methods for rotating machines have used fast fourier transform (FFT) method in frequency domain to detect abnormal frequency. However, it is difficult to diagnose using the FFT method if the normal frequency compon

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Kozhenkov, 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.

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Centner, 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.

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Raporty organizacyjne na temat "And Machine"

Vesselinov, Velimir Valentinov. Machine Learning. Office of Scientific and Technical Information (OSTI), 2019. http://dx.doi.org/10.2172/1492563.

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Valiant, L. G. Machine Learning. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada283386.

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Loscalzo, Steven, Nathaniel Gmelli, and Robert Wright. Machine Intelligence. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada580353.

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Angrist, Joshua, and Brigham Frandsen. Machine Labor. National Bureau of Economic Research, 2019. http://dx.doi.org/10.3386/w26584.

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Chase, Melissa P. Machine Learning. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada223732.

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Klarer, P. R. Flocking small smart machines: An experiment in cooperative, multi-machine control. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/573344.

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Wei, Jie. AGS Machine Studies. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/1119436.

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Stoner, William W. Adaptive Machine Vision. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada208130.

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Boscher, C., P. Cheval, L. Wu, and E. Gray. LDP State Machine. RFC Editor, 2002. http://dx.doi.org/10.17487/rfc3215.

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Stoner, William W., Michael H. Brill, and Doreen W. Bergeron. Adaptive Machine Vision. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada197039.

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