Готові списки джерел за темами / Processing Science

Добірка наукової літератури з теми "Processing Science"

Автор: Grafiati
Опубліковано: 7 вересня 2023

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Статті в журналах з теми "Processing Science"

1

Choi, Charles Q. "Processing for Science." Scientific American 292, no. 5 (May 2005): 30. http://dx.doi.org/10.1038/scientificamerican0505-30.

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2

Messing, Gary L., Shin-ichi Hirano, and Ludwig Gauckler. "Ceramic Processing Science." Journal of the American Ceramic Society 89, no. 6 (June 2006): 1769–70. http://dx.doi.org/10.1111/j.1551-2916.2006.01125.x.

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Messing, Gary L., Shin-Ichi Hirano, and Ludwig Gauckler. "Ceramic Processing Science." Journal of the American Ceramic Society 92 (January 2009): S1. http://dx.doi.org/10.1111/j.1551-2916.2008.02799.x.

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4

Steiner, D. "Proteolytic processing." Science 234, no. 4774 (October 17, 1986): 369. http://dx.doi.org/10.1126/science.3532320.

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5

Ewsuk, Kevin G., and Jose G. Argüello. "Science-Based Ceramic Powder Processing." Key Engineering Materials 247 (August 2003): 27–34. http://dx.doi.org/10.4028/www.scientific.net/kem.247.27.

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6

Nicotra, Giuseppe, and Quentin M. Ramasse. "Material Science in Semiconductor Processing☆." Materials Science in Semiconductor Processing 65 (July 2017): 1. http://dx.doi.org/10.1016/j.mssp.2017.05.023.

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7

Romano, Lucia, and Joan Vila Comamala. "Material Science in Semiconductor Processing." Materials Science in Semiconductor Processing 92 (March 2019): 1. http://dx.doi.org/10.1016/j.mssp.2019.01.013.

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8

A.M.S. "Science of Ceramic Chemical Processing." Composite Structures 7, no. 3 (January 1987): 227. http://dx.doi.org/10.1016/0263-8223(87)90032-8.

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9

Turner, I. G. "Science of ceramic chemical processing." Composites Science and Technology 28, no. 1 (January 1987): 81–82. http://dx.doi.org/10.1016/0266-3538(87)90065-0.

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10

Soles, C. L., and Y. Ding. "MATERIALS SCIENCE: Nanoscale Polymer Processing." Science 322, no. 5902 (October 31, 2008): 689–90. http://dx.doi.org/10.1126/science.1165174.

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Дисертації з теми "Processing Science"

1

Goh, Siew Wei Chemistry Faculty of Science UNSW. "Application of surface science to sulfide mineral processing." Awarded by:University of New South Wales. School of Chemistry, 2006. http://handle.unsw.edu.au/1959.4/32912.

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Surface spectroscopic techniques have been applied to facets of the flotation beneficiation and hydrometallurgical extraction of sulfide minerals to enhance the fundamental understanding of these industrially important processes. As a precursor to the determination of surface chemical composition, the sub-surface properties of some sulfide minerals that have not previously been fully characterised were also investigated. The electronic properties of ??-NiS and ??-NiS (millerite), Ni3S2 (heazlewoodite), (Ni,Fe)9S8 (pentlandite), CuFe2S3 (cubanite), CuFeS2 (chalcopyrite), Cu5FeS4 (bornite) and CuS (covellite) were investigated by conventional and synchrotron X-ray photoelectron spectroscopy (XPS) and near-edge X-ray absorption fine structure (NEXAFS) spectroscopy augmented by ab initio density of state calculations and NEXAFS spectral simulations. Particular aspects studied included the relationship between sulfur coordination number and core electron binding energies, the higher than expected core electron binding energies for the sulfur in the metal-excess nickel sulfides, and the formal oxidation states of the Cu and Fe in Cu-Fe sulfides. It was concluded that the binding energy dependence on coordination number was less than previously believed, that Ni-Ni bonding was the most likely explanation for the unusual properties of the Ni sulfides, and that there was no convincing evidence for Cu(II) in sulfides as had been claimed. Most of the NEXAFS spectra simulated by the FEFF8 and WIEN2k ab initio codes agreed well with experimental spectra, and the calculated densities of states were useful in rationalising the observed properties. XPS, static secondary ion mass spectrometry (SIMS) and NEXAFS spectroscopy were used to investigate thiol flotation collector adsorption on several sulfides in order to determine the way in which the collector chemisorbs to the mineral surface, to differentiate monolayer from multilayer coverage, and to characterise the multilayer species. It was found that static SIMS alone was able to differentiate monolayer from multilayer coverage, and together with angle-resolved NEXAFS spectroscopy, was also able to confirm that 2-mercaptobenzothiazole interacted through both its N and exocyclic S atoms. The altered layers formed on chalcopyrite and heazlewoodite during acid leaching were examined primarily by means of threshold S KLL Auger electron spectroscopy, but no evidence for buried interfacial species was obtained.
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2

Chen, Siheng. "Data Science with Graphs: A Signal Processing Perspective." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/724.

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Анотація:
A massive amount of data is being generated at an unprecedented level from a diversity of sources, including social media, internet services, biological studies, physical infrastructure monitoring and many others. The necessity of analyzing such complex data has led to the birth of an emerging framework, graph signal processing. This framework offers an unified and mathematically rigorous paradigm for the analysis of high-dimensional data with complex and irregular structure. It extends fundamental signal processing concepts such as signals, Fourier transform, frequency response and filtering, from signals residing on regular lattices, which have been studied by the classical signal processing theory, to data residing on general graphs, which are called graph signals. In this thesis, we consider five fundamental tasks on graphs from the perspective of graph signal processing: representation, sampling, recovery, detection and localization. Representation, aiming to concisely model shapes of graph signals, is at the heart of the proposed techniques. Sampling followed by recovery, aiming to reconstruct an original graph signal from a few selected samples, is applicable in semi-supervised learning and user profiling in online social networks. Detection followed by localization, aiming to identify and localize targeted patterns in noisy graph signals, is related to many real-world applications, such as localizing virus attacks in cyber-physical systems, localizing stimuli in brain connectivity networks, and mining traffic events in city street networks, to name just a few. We illustrate the power of the proposed tools on two real-world problems: fast resampling of 3D point clouds and mining of urban traffic data.
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3

Baklar, Mohammed Adnan. "Processing organic semiconductors." Thesis, Queen Mary, University of London, 2010. http://qmro.qmul.ac.uk/xmlui/handle/123456789/1311.

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In recent years, there has been a considerable interest in organic semiconducting materials due to their potential to enable, amongst other things, low-cost flexible opto-electronic applications, such as large-area integrated circuitry boards, light-emitting diodes (OLEDs) and organic photovoltaics (OPVs). Promisingly, improved electronic performance and device structures have been realized with e.g. OLEDs entering the market and organic field-effect transistors (OFETs) reaching the performance of amorphous silicon devices; however, it would be too early to state that the field of organic semiconductors has witnessed the sought-after technological revolution. Initial progress in the field was mostly due to synthetic efforts in the form of enhanced regularity and purity of currently used materials, the creation of new molecular species, etc. In this thesis we show that the advancement of physico-chemical aspects – notably materials processing – and the realisation of increased order and control of the solid state structure is critical to realize the full intrinsic potential that organic semiconductors possess. We first investigated how the bulk charge-transport properties of the liquid-crystalline semiconductor poly(2,5-bis (3-dodecylthiophen-2-yl)thieno[3,2-b]thiophenes) (pBTTT-C12) can be enhanced by annealing in the mesophase. To this end, temperature treatment of a period of hours was necessary to realize good bulk charge transport in the out-of-plane directions. This behaviour is in strong contrast to in-plane charge transport as measured in thin-film field-effect structures, for which it was shown that annealing times of 10 min and less are often sufficient to enhance device performance. Our observation 4 may aid in future to optimize the use of pBTTT polymers in electronic devices, in which good bulk charge transport is required, such as OPVs. In the second part of thesis, we explored ink-jet printing of pBTTT-C12, in order to realize precise deposition of this material into pre-defined structures. In organic electronic applications this can, amongst other things, enable deposition of different semiconductors or reduction of the unwanted conduction pathways that often result in undesirable parasitic ‘cross-talk’, for instance, between pixels in display products. We demonstrate the integration of ink-jet printed transistors into unipolar digital logic gates that display the highest signal gain reported for unipolar-based logic gates. Finally, recognizing that a broad range of conjugated organic species fall in the category of “plastic crystals”, we explored the option to process this class of materials in the solid state. We find that solid-state compression moulding indeed can effectively be applied to a wide spectrum of organic small molecular and polymeric semiconductors without affecting adversely the intrinsic favourable electronic characteristics of these materials. To the contrary, we often observe significantly enhanced [bulk] charge transport and essentially identical field-effect transistor performance when compared with solution- or melt-processed equivalents. We thus illustrate that fabrication of functional organic structures does not necessitate the use of solution processing methods, which often require removal of 99 wt% or more of solvent, or precursor side-products, nor application of cumbersome vapour deposition technologies.
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4

Kagiri, T. (Thomas). "Designing strategic information systems in complexity science concepts." Master's thesis, University of Oulu, 2013. http://urn.fi/URN:NBN:fi:oulu-201306061561.

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Анотація:
Aligning strategic information systems (SISs) with business objectives poses a big challenge, alignment is a complex and a dynamic process, especially with shifting business strategies. Advancement in the digital age has altered the dynamism of SISs, deployment of these ubiquitous technologies has increased competitive capabilities in organizations, as well as turned SISs management into chaotic affair. SISs are turbulent, non-linear, open, dancing systems: these features have introduced uncertainty and unpredictability, resulting into problematic alignment of SISs. Complexity science is thought to offer a solution in this alignment chaos; it is concerned with dynamism of the system. The research in this thesis focused on SISs design, designing SISs in conformity to complexity science concepts. It analyses complexity science use in SISs design. Complexity science constitutes complex adaptive and evolving systems (CAS & CES), both referred to as complex systems hereafter. To achieve SISs alignment with business objectives, organizations would not only need to design alignment applications, but also aligned network structures that enable strategic knowledge sharing, for competitive advantages. The diversity and the non-linear topology of SISs, does not allow organizations to isolate themselves from the outside world anymore; in the digital era competitive advantages arise from shared information. This thesis proposed the use of Knowledge Assets Value Dynamics Map (KAVDM) to determine the priority and order for sharing knowledge assets and for value conversion in organizations, so as to implement the proposed design. Aligned network topology introduces the network paradigm, which deals with inter-organizational network strategies. The paradigm focuses on organizational systems connectivity for competitive advantages. Complexity science was explored for SISs networked interactions, for inter-organizations alliance benefits; demonstrating the use of dynamic network alignment that adapts and evolves as the organizations knowledge needs rises. The resultant SISs network was redundant, self-regulating, and self-learning. This thesis used simple Generative Network Automata (GNA) to demonstrate that the distributed network topology can adapt and evolve simultaneously as single computational framework, conforming to the complexity concepts. This thesis employed design science research methodology combined with analytical research. It explored existing knowledge on complexity science, investigated and analyzed it possibilities for improving SISs design. This thesis also suggested how SISs should be designed in conformity to complexity science concepts. The thesis’ contribution was a conceptual model, a suggestion to the information systems research community. A literature review was applied while studying existing knowledge in SISs, open data, network paradigm and complexity science. Most publications came from MIS Quarterly (MISQ), Information Systems Research (ISR), IEEE Xplore, and Journal of Strategic Information Systems (JSIS).
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5

Nourian, Arash. "Approaches for privacy aware image processing in clouds." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=119518.

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Cloud computing is ideal for image storage and processing because itprovides enormously scalable storage and processing resources at low cost. One of the major drawbacks of cloud computing, however, is the lack of robust mechanismsfor the users to control the privacy of the data they farm out to the clouds such as photos. One way of enhancing the privacy andsecurity of photos stored in clouds is to encrypt the photos before storing them. However, using encryption to secure the information held in the photos precludes applying any image processing operations while they are held in the third party servers. To address this issue, we have developed image encoding schemes that enhances the privacy of image data that is outsourced to the clouds for processing. We utilize a hybrid cloud model to implement our proposed schemes. Unlike previously proposed image encryption schemes, our encoding schemes allow different forms of pixel-level, block-level, and binary image processing to take place in the clouds while the actual image is not revealed to the cloud provider. Our encoding schemes use a cat map transformation to encode the image after it is masked with an arbitrarily chosen ambient image or mixed with other images. A simplified prototype of the image processing systems was implemented and the experimental results and detailed security analysis for each proposed scheme are presented in this thesis. We use common image processing tasks to demonstrate the ability of our scheme to perform computations on privacy enhanced images. A variety of pixel level, block level and binary filters have been implemented to support image processing on encoded images in the system. The operational overhead added by our schemes to image filters is roughly 18% on average.
Le cloud computing est idéal pour le stockage d'image et le traitement parce qu'il fournit le stockage énormément évolutif et des ressources de traitement au bas prix. Un des inconvénients majeurs de cloud computing, cependant, est le manque de mécanismes robustes pour les utilisateurs pour contrôler la vie privée des données qu'ils mettent en gérance aux clouds comme des photos. Une façon d'améliorer la vie privée et la sécurité de photos stockées dans des clouds est de crypter les photos avant le stockage d'eux. Cependant, utilisant le chiffrage pour garantir les informations tenues dans les photos écarte appliquer n'importe quelles transformations d'image tandis qu'ils sont tenus dans les serveurs tiers. Pour aborder cette question, nous avons développé les régimes de codage d'image qui améliorent la vie privée des données d'image qui est externalisée aux clouds pour le traitement. Nous utilisons un modèle de hybrid cloud pour mettre en œuvre nos régimes proposés. Contrairement aux régimes de chiffrage d'image précédemment proposés, nos régimes de codage permettent aux formes différentes de niveau de pixel, le niveau de bloc et le traitement d'image binaire d'avoir lieu dans les clouds tandis que l'image réelle n'est pas révélée au fournisseur de cloud. Nos régimes de codage utilisent une carte de chat chaotique pour transformer l'image après qu'il est masqué avec une image ambiante arbitrairement choisie ou mixte avec d'autres images. Un prototype simplifié des systèmes de traitement d'image a été mis en œuvre et les résultats expérimentaux et l'analyse de sécurité détaillée pour chaque régime proposé sont présentés dans cette thèse. Nous utilisons l'image commune traitant des tâches de démontrer la capacité de notre régime d'exécuter des calculs sur la vie privée des images améliorées. Une variété de niveau de pixel, le niveau de bloc et des filtres binaires a été mise en œuvre pour supporter le traitement d'image sur des images codées dans le système. L'opérationnel des frais généraux supplémentaire selon nos régimes de refléter des filtres est environ 18% le en moyenne.
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6

Lee, Li 1975. "Distributed signal processing." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86436.

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7

McCormick, Martin (Martin Steven). "Digital pulse processing." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/78468.

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Анотація:
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 71-74).
This thesis develops an exact approach for processing pulse signals from an integrate-and-fire system directly in the time-domain. Processing is deterministic and built from simple asynchronous finite-state machines that can perform general piecewise-linear operations. The pulses can then be converted back into an analog or fixed-point digital representation through a filter-based reconstruction. Integrate-and-fire is shown to be equivalent to the first-order sigma-delta modulation used in oversampled noise-shaping converters. The encoder circuits are well known and have simple construction using both current and next-generation technologies. Processing in the pulse-domain provides many benefits including: lower area and power consumption, error tolerance, signal serialization and simple conversion for mixed-signal applications. To study these systems, discrete-event simulation software and an FPGA hardware platform are developed. Many applications of pulse-processing are explored including filtering and signal processing, solving differential equations, optimization, the minsum / Viterbi algorithm, and the decoding of low-density parity-check codes (LDPC). These applications often match the performance of ideal continuous-time analog systems but only require simple digital hardware. Keywords: time-encoding, spike processing, neuromorphic engineering, bit-stream, delta-sigma, sigma-delta converters, binary-valued continuous-time, relaxation-oscillators.
by Martin McCormick.
S.M.
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8

Eldar, Yonina Chana 1973. "Quantum signal processing." Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/16805.

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Анотація:
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2002.
Includes bibliographical references (p. 337-346).
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Quantum signal processing (QSP) as formulated in this thesis, borrows from the formalism and principles of quantum mechanics and some of its interesting axioms and constraints, leading to a novel paradigm for signal processing with applications in areas ranging from frame theory, quantization and sampling methods to detection, parameter estimation, covariance shaping and multiuser wireless communication systems. The QSP framework is aimed at developing new or modifying existing signal processing algorithms by drawing a parallel between quantum mechanical measurements and signal processing algorithms, and by exploiting the rich mathematical structure of quantum mechanics, but not requiring a physical implementation based on quantum mechanics. This framework provides a unifying conceptual structure for a variety of traditional processing techniques, and a precise mathematical setting for developing generalizations and extensions of algorithms. Emulating the probabilistic nature of quantum mechanics in the QSP framework gives rise to probabilistic and randomized algorithms. As an example we introduce a probabilistic quantizer and derive its statistical properties. Exploiting the concept of generalized quantum measurements we develop frame-theoretical analogues of various quantum-mechanical concepts and results, as well as new classes of frames including oblique frame expansions, that are then applied to the development of a general framework for sampling in arbitrary spaces. Building upon the problem of optimal quantum measurement design, we develop and discuss applications of optimal methods that construct a set of vectors.
(cont.) We demonstrate that, even for problems without inherent inner product constraints, imposing such constraints in combination with least-squares inner product shaping leads to interesting processing techniques that often exhibit improved performance over traditional methods. In particular, we formulate a new viewpoint toward matched filter detection that leads to the notion of minimum mean-squared error covariance shaping. Using this concept we develop an effective linear estimator for the unknown parameters in a linear model, referred to as the covariance shaping least-squares estimator. Applying this estimator to a multiuser wireless setting, we derive an efficient covariance shaping multiuser receiver for suppressing interference in multiuser communication systems.
by Yonina Chana Eldar.
Ph.D.
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9

Yang, Heechun. "Modeling the processing science of thermoplastic composite tow prepreg materials." Diss., Georgia Institute of Technology, 1992. http://hdl.handle.net/1853/17217.

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10

McEwen, Gordon John. "Colour image processing for textile fibre matching in forensic science." Thesis, Queen's University Belfast, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336101.

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Книги з теми "Processing Science"

1

International, Symposia on Advanced Materials and Technology for the 21st Century (1995 Honolulu Hawaii). Solidification science and processing. Warrendale, Pa: The Minerals, Metals & Materials Society, 1996.

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2

International Symposia on Advanced Materials and Technology for the 21st Century (1995 Honolulu, Hawaii). Solidification science and processing. Warrendale, Pa: The Minerals, Metals & Materials Society, 1996.

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3

1938-, Kumar A., and Dahotre Narendra B, eds. Materials processing and manufacturing science. Burlingtogn, MA: Elsevier Academic Press, 2005.

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4

Wang, Hua, and Hafeezullah Memon, eds. Cotton Science and Processing Technology. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9169-3.

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5

M, Barrett Diane, Somogyi Laszlo P, and Ramaswamy Hosahalli S, eds. Processing fruits: Science and technology. 2nd ed. Boca Raton: CRC Press, 2005.

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6

P, Somogyi Laszlo, Ramaswamy Hosahalli S, and Hui Y. H. 1940-, eds. Processing fruits: Science and technology. Lancaster, Pa: Technomic Publishing Co., 1996.

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7

Hay, Cameron. Computer science and data processing. London: Longman, 1985.

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8

L, Hench L., Ulrich Donald R, University of Florida. Department of Materials Science and Engineering., University of Florida. College of Engineering., and International Conference on Ultrastructure Processing of Ceramics, Glasses, and Composites (2nd : 1985 : Palm Coast, Fla.), eds. Science of ceramic chemical processing. New York: Wiley, 1986.

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9

P, Somogyi Laszlo, ed. Processing fruits: Science and technology. Lancaster, Pa: Technomic Pub. Co., 1996.

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10

Society, American Ceramic, and Materials Science & Technology Conference (2010 : Houston, Tex.), eds. Biomaterials science: Processing, properties, and applications. Hoboken, N.J: Wiley, 2011.

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Частини книг з теми "Processing Science"

1

Osswald, Tim A., and Juan P. Hernández-Ortiz. "Polymer Materials Science." In Polymer Processing, 1–36. München: Carl Hanser Verlag GmbH & Co. KG, 2006. http://dx.doi.org/10.3139/9783446412866.001.

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2

Anderson, J. C., K. D. Leaver, R. D. Rawlings, and J. M. Alexander. "Semiconductor Processing." In Materials Science, 454–90. Boston, MA: Springer US, 1990. http://dx.doi.org/10.1007/978-1-4899-6826-5_15.

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3

Ratner, Buddy D. "Biomaterials Science." In Plasma Processing of Polymers, 453–64. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8961-1_25.

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4

Weik, Martin H. "processing." In Computer Science and Communications Dictionary, 1341. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_14758.

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5

Vieira, Ernest R. "Thermal Processing." In Elementary Food Science, 139–59. Boston, MA: Springer US, 1996. http://dx.doi.org/10.1007/978-1-4757-5112-3_10.

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6

Luo, M. Ronnier. "Colour science." In The Colour Image Processing Handbook, 26–66. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5779-1_3.

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7

Earnshaw, Rae. "Data Science." In Advanced Information and Knowledge Processing, 1–10. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24367-8_1.

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8

Toledo, Romeo T., Rakesh K. Singh, and Fanbin Kong. "Aseptic Processing." In Food Science Text Series, 245–76. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-90098-8_9.

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9

Szeliski, Richard. "Image processing." In Texts in Computer Science, 87–180. London: Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-935-0_3.

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10

Thomas, Merin Sara, Rekha Rose Koshy, Siji K. Mary, Sabu Thomas, and Laly A. Pothan. "Processing Techniques." In SpringerBriefs in Molecular Science, 9–17. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03158-9_2.

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Тези доповідей конференцій з теми "Processing Science"

1

Jaghoori, Mohammad Mahdi, Shayan Shahand, and Silvia D. Olabarriaga. "Processing Manager for Science Gateways." In 2015 7th International Workshop on Science Gateways (IWSG). IEEE, 2015. http://dx.doi.org/10.1109/iwsg.2015.9.

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2

Muller, T. O., T. Jejkal, R. Stotzka, M. Sutter, V. Hartmann, and H. Gemmeke. "Grid Services Toolkit for Process Data Processing." In 2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06). IEEE, 2006. http://dx.doi.org/10.1109/e-science.2006.261046.

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3

Kuntschke, Richard, Tobias Scholl, Sebastian Huber, Alfons Kemper, Angelika Reiser, Hans-martin Adorf, Gerard Lemson, and Wolfgang Voges. "Grid-Based Data Stream Processing in e-Science." In 2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06). IEEE, 2006. http://dx.doi.org/10.1109/e-science.2006.261114.

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4

Jenkins, Jon M., Joseph D. Twicken, Sean McCauliff, Jennifer Campbell, Dwight Sanderfer, David Lung, Masoud Mansouri-Samani, et al. "The TESS science processing operations center." In SPIE Astronomical Telescopes + Instrumentation, edited by Gianluca Chiozzi and Juan C. Guzman. SPIE, 2016. http://dx.doi.org/10.1117/12.2233418.

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5

Bykov, Robert E., Ludmila A. Manilo, and Fengmei Cao. "Multispectral image processing in science investigations." In Photonics Asia 2002, edited by LiWei Zhou, Chung-Sheng Li, and Yoshiji Suzuki. SPIE, 2002. http://dx.doi.org/10.1117/12.481591.

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6

Chernoskutov, Mikhail. "Graph Processing System for Network Science." In 2020 International Conference Engineering and Telecommunication (En&T). IEEE, 2020. http://dx.doi.org/10.1109/ent50437.2020.9431292.

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7

"Image science with photon-processing detectors." In 2013 IEEE Nuclear Science Symposium and Medical Imaging Conference (2013 NSS/MIC). IEEE, 2013. http://dx.doi.org/10.1109/nssmic.2013.6829331.

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8

Day, Nick, Jim Downing, Lezan Hawizy, Nico Adams, and Peter Murray-Rust. "Towards Lensfield - Data Management, Processing and Semantic Publication for Vernacular e-Science." In 2009 5th IEEE International Conference on e-Science (e-Science). IEEE, 2009. http://dx.doi.org/10.1109/e-science.2009.56.

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9

Tarte, Ségolene M., David C. H. Wallom, Pin Hu, Kang Tang, and Tiejun Ma. "An Image Processing Portal and Web-Service for the Study of Ancient Documents." In 2009 5th IEEE International Conference on e-Science (e-Science). IEEE, 2009. http://dx.doi.org/10.1109/e-science.2009.10.

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10

Liu, Ying, Nithya Vijayakumar, and Beth Plale. "Stream processing in data-driven computational science." In 2006 7th IEEE/ACM International Conference on Grid Computing. IEEE, 2006. http://dx.doi.org/10.1109/icgrid.2006.311011.

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Звіти організацій з теми "Processing Science"

1

Raj, Rishi. High Temperature Materials Processing Science. Fort Belvoir, VA: Defense Technical Information Center, June 1987. http://dx.doi.org/10.21236/ada182904.

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2

Semiatin, S. L. Metals Processing/Processing Science. Work Order Directive (WUD) 49. Fort Belvoir, VA: Defense Technical Information Center, May 2002. http://dx.doi.org/10.21236/ada406788.

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3

Cesarano, III, Joseph, Robert Allen Roach, Alice C. Kilgo, Donald Francis Susan, David J. Van Ornum, John N. Stuecker, and Kimberly A. Shollenberger. A Science-Based Understanding of Cermet Processing. Office of Scientific and Technical Information (OSTI), April 2006. http://dx.doi.org/10.2172/1126942.

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4

Raj, R. (Interface science in deformation processing of ceramics). Office of Scientific and Technical Information (OSTI), December 1989. http://dx.doi.org/10.2172/7152579.

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5

Thomas, Jr, and Joseph F. Processing Science: Characterizing Flow Behavior of High Temperature Structural Materials. Fort Belvoir, VA: Defense Technical Information Center, June 1986. http://dx.doi.org/10.21236/ada224898.

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Aksay, I. A., G. L. McVay, and D. R. Ulrich. Processing Science of Advanced Ceramics. Materials Research Society Symposium Proceedings. Volume 155. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada229587.

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Bolintineanu, Dan, Jeremy Lechman, Daniel Bufford, Joel Clemmer, Marcia Cooper, William Erikson, Stewart Silling, et al. Enabling Particulate Materials Processing Science for High-Consequence, Small-Lot Precision Manufacturing. Office of Scientific and Technical Information (OSTI), October 2021. http://dx.doi.org/10.2172/1832288.

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8

Collins, Leslie M., Peter A. Torrione, and Kenneth D. Morton. Statistical Signal Processing for Remote Sensing of Targets: Proposal for Terrestrial Science Program. Fort Belvoir, VA: Defense Technical Information Center, November 2014. http://dx.doi.org/10.21236/ada614713.

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Watkins, Thomas R., Gary Cola, Suresh S. Babu, Thomas R. Muth, Benjamin Shassere, Hsin Wang, and Ralph Dinwiddie. Fundamental Science and Technology of Flash Processing Robustness for Advanced High Strength Steels (AHSS). Office of Scientific and Technical Information (OSTI), October 2019. http://dx.doi.org/10.2172/1606795.

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Volkova, Nataliia P., Nina O. Rizun, and Maryna V. Nehrey. Data science: opportunities to transform education. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3241.

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Анотація:
The article concerns the issue of data science tools implementation, including the text mining and natural language processing algorithms for increasing the value of high education for development modern and technologically flexible society. Data science is the field of study that involves tools, algorithms, and knowledge of math and statistics to discover knowledge from the raw data. Data science is developing fast and penetrating all spheres of life. More people understand the importance of the science of data and the need for implementation in everyday life. Data science is used in business for business analytics and production, in sales for offerings and, for sales forecasting, in marketing for customizing customers, and recommendations on purchasing, digital marketing, in banking and insurance for risk assessment, fraud detection, scoring, and in medicine for disease forecasting, process automation and patient health monitoring, in tourism in the field of price analysis, flight safety, opinion mining etc. However, data science applications in education have been relatively limited, and many opportunities for advancing the fields still unexplored.
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