Academic literature on the topic 'Computer terms'

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Journal articles on the topic "Computer terms"

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Haralick, Robert M., and Linda G. Shapiro. "Glossary of computer vision terms." Pattern Recognition 24, no. 1 (1991): 69–93. http://dx.doi.org/10.1016/0031-3203(91)90117-n.

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McAllister, Steve. "Glossary of computer and DTP terms." Learned Publishing 6, no. 3 (1993): 71–79. http://dx.doi.org/10.1002/leap/60068.

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Stefanova, Nataliia. "STRUCTURAL PECULIARITIES OF MODERN ENGLISH COMPUTER TERMS." Naukovì zapiski Nacìonalʹnogo unìversitetu «Ostrozʹka akademìâ». Serìâ «Fìlologìâ» 1, no. 1(69)/2 (2018): 186–89. http://dx.doi.org/10.25264/2519-2558-2018-1(69)/2-186-189.

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Thomas S. Colvin, Ken L. McConnell, and Brian J. Catus. "TERMS": A Computer Model for Field Simulation." Transactions of the ASAE 32, no. 2 (1989): 0391–96. http://dx.doi.org/10.13031/2013.31015.

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Tattershall, E., G. Nenadic, and R. D. Stevens. "Detecting bursty terms in computer science research." Scientometrics 122, no. 1 (2019): 681–99. http://dx.doi.org/10.1007/s11192-019-03307-5.

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AbstractResearch topics rise and fall in popularity over time, some more swiftly than others. The fastest rising topics are typically called bursts; for example “deep learning”, “internet of things” and “big data”. Being able to automatically detect and track bursty terms in the literature could give insight into how scientific thought evolves over time. In this paper, we take a trend detection algorithm from stock market analysis and apply it to over 30 years of computer science research abstracts, treating the prevalence of each term in the dataset like the price of a stock. Unlike previous work in this domain, we use the free text of abstracts and titles, resulting in a finer-grained analysis. We report a list of bursty terms, and then use historical data to build a classifier to predict whether they will rise or fall in popularity in the future, obtaining accuracy in the region of 80%. The proposed methodology can be applied to any time-ordered collection of text to yield past and present bursty terms and predict their probable fate.
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Mentynska, I. B. "ANTONYMIC RELATIONS IN UKRAINIAN COMPUTER TERMS SYSTEM." Тrаnscarpathian Philological Studies 1, no. 17 (2021): 39–43. http://dx.doi.org/10.32782/tps2663-4880/2021.17-1.8.

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Abduvasilovna, Lobar Usmanova. "Studying methaphorical terms in computer discourse analyses." ACADEMICIA: An International Multidisciplinary Research Journal 11, no. 12 (2021): 344–47. http://dx.doi.org/10.5958/2249-7137.2021.02686.0.

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Permatasari, Alfelia Nugky, and I. Dewa Putu Wijana. "Pemahaman dan Preferensi Bahasa Masyarakat Indonesia pada Istilah Komputer dan Internet." JLA (Jurnal Lingua Applicata) 2, no. 1 (2019): 40. http://dx.doi.org/10.22146/jla.35431.

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Technology, including computers and internet, cannot be separated from Indonesians. At the beginning of computers and internet existence in Indonesia, the government took an initiative to make computers and internet equivalent terms through Presidential Decree No. 2 Year 2001. This aimed to ease Indonesians in using computers and/or internet. This effort then generated “Senarai Padanan Istilah" consisting of 711 equivalents from 629 English terms. This study aims to investigate Indonesians’ comprehension, language preference, including their reason in choosing a particular language regarding computer and/or internet terms. The data were obtained from online questionnaire. The data obtained then were used to investigate Indonesians’ comprehension of the terms as well as their language preference relating to the computer and/or internet terms. The results are then presented descriptively. This research results in: 1) Indonesians have a fairly high understanding related to computer and/or internet equivalent terms; 2) however, Indonesians prefer English to bahasa Indonesia, as many as 91.9% of the respondents; 3) English preference by the respondents is motivated by English terms familiarity, English terms ease to be understood, the lack of appropriateness of the equivalent terms, English shorter terms, and the unavailability of equivalent terms in the computer program they run.
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Larson, Jerry W., and Alfredo Chiri. "Spanish-English/English-Spanish Dictionary of Computer Terms." Modern Language Journal 78, no. 3 (1994): 414. http://dx.doi.org/10.2307/330153.

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Pérez, Alicia, Koldo Gojenola, Arantza Casillas, Maite Oronoz, and Arantza Díaz de Ilarraza. "Computer aided classification of diagnostic terms in spanish." Expert Systems with Applications 42, no. 6 (2015): 2949–58. http://dx.doi.org/10.1016/j.eswa.2014.11.035.

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Dissertations / Theses on the topic "Computer terms"

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Guest, Steven John. "Colour nameability and computer displays." Thesis, University of Portsmouth, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.310421.

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Much research suggests that there exist universal colour names. Investigations involving paint and paper media have revealed co-incidence of especially salient names and their concomitant sensations, within and between cultures. These names have been called Basic Colour Terms (BCfs), and their prototypical sensations focal colours (or foci). The highest levelof colour name development within cultures includes eleven BCfs. A literature review revealed certain omissions in the colour naming work. Firstly was a lack of usage of CRT-baseddisplay of colours. This was considered an important omission given the implicit, but largely untested assumption that CRT and surface media may be equivalent. A second omission identified was a lack of detailed quantification of realistic naming behaviour. Two CRT-based experiments were then devised to quantify colour naming, one involving unconstrained naming of colours, one involving selection of which colours were exemplars of (thirteen) pre-generated colour names. These experiments revealed certain regularities in naming within a (perceptually uniform) colour space. Thus a naming space and its underlying structure was obtained. Naming space was found to be a composite of they way membership of (BCf) categories was expressed, and an underlying set of five fundamental colour sensations. Evidencewas then forthcoming that this structure might be modelable. The quantified data obtained was then used to investigate the search-efficacy of easy to name colours. Such easy to name palettes were generated, based on the data obtained, and compared with colorimetrically matched, and highly discriminable palettes. It was found that easy to name as a colour palette variable was meaningful, and capable of adjusting user performance, despite evidence that individuals may possess relatively stable, idiosyncratic colour vocabularies. That CRT work has generality was verified by comparison of foci obtained from a series of studies involving different media. Although some differences were evident, these followed clear patterns which were not inconsistent with universal colour naming. This thesis suggests that there exist complex aspects of colour naming behaviour which are nevertheless understandable, and largely predictable. Such theoretical data should allow for improvements in certain human-interactions, where tasks involve naming colours.
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Anglemark, Linnéa. "Address Terms in Computer Mediated Communication: Email, Chat and Weblogs /." Uppsala : Engelska institutionen, Uppsala universitet, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-100108.

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Frantzi, Katerina T. "Automatic recognition of multi-word terms." Thesis, Manchester Metropolitan University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387945.

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Saadat, Sarmadi Mansour. "The interpretation of unstructured computer images in terms of perceived characteristics." Thesis, Loughborough University, 1990. https://dspace.lboro.ac.uk/2134/27195.

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Computer systems with all their potential could be employed as powerful tools to assist the artist during the creative process of picture making. The complex process of picture making is tentative, indeterminate, explorative and unpredictable. Perceptual uncertainty of patterns on the canvas may have an important role during such a process. For the artist, the perception of a new or alternative structure in an already structured image is plausible, his subsequent interaction with the media being consistent with this revised view of the image. Therefore, it is essential for the computer system to be able to structure and restructure the image in terms of the interpretations perceived by the artist.
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Ren, Kaiyu. "Mapping biomedical terms to UMLS concepts by an efficient layered dynamic programming framework." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1398886613.

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Qi, Ji. "System-level design automation and optimisation of network-on-chips in terms of timing and energy." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/386210/.

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As system complexity constantly increases, traditional bus-based architectures are less adaptable to the increasing design demands. Specifically in on-chip digital system designs, Network-on-Chip (NoC) architectures are promising platforms that have distributed multi-core co-operation and inter-communication. Since the design cost and time cycles of NoC systems are growing rapidly with higher integration, systemlevel Design Automation (DA) techniques are used to abstract models at early design stages for functional validation and performance prediction. Yet precise abstractions and efficient simulations are critical challenges for modern DA techniques to improve the design efficiency. This thesis makes several contributions to address these challenges. We have firstly extended a backbone simulator, NIRGAM, to offer accurate system level models and performance estimates. A case study of developing a one-to-one transmission system using asynchronous FIFOs as buffers in both the NIRGAM simulator and a synthesised gate-level design is given to validate the model accuracy by comparing their power and timing performance. Then we have made a second contribution to improve DA techniques by proposing a novel method to efficiently emulate non-rectangular NoC topologies in NIRGAM and generating accurate energy and timing performance. Our proposed method uses time regulated models to emulate virtual non-rectangular topologies based on a regular Mesh. The performance accuracy of virtual topologies is validated by comparing with corresponding real NoC topologies. The third contribution of our research is a novel task-mapping scheme that generates optimal mappings to tile-based NoC networks with accurate performance prediction and increased execution speed. A novel Non-Linear Programming (NLP) based mapping problem has been formulated and solved by a modified Branch and Bound (BB) algorithm. The proposed method predicts the performance of optimised mappings and compares it with NIRGAM simulations for accuracy validation.
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Bogen, Alfred Christopher. "Selecting keyword search terms in computer forensics examinations using domain analysis and modeling." Diss., Mississippi State : Mississippi State University, 2006. http://sun.library.msstate.edu/ETD-db/ETD-browse/browse.

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Sulecki, Nathan. "Characterizing Dimensionality Reduction Algorithm Performance in terms of Data Set Aspects." Ohio University Honors Tutorial College / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors1493397823307462.

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Kearney, Garrett Donough Anthony. "Design of a memory based expert system for interpreting facial expressions in terms of signalled emotions." Thesis, University of Greenwich, 1991. http://gala.gre.ac.uk/6376/.

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A memory based expert system(JANUS) has been designed to interpret facial expression in terms of the signalled emotion. Janus accepts a geometric description of the face obtained from measurements on a digitised full face photograph and returns the appropriate emotion label. An intermediate representation in terms of verbal face actions(eg. . mouth open,eyes closed)is also used. A production rule system converts the geometric description to verbal form, while a dynamic memory interprets the face actions in terms of emotions. Following the work of Schank(1982)and Kolodner (1984),the dynamic memory is structured as a tree of packets, storing, in Janus, typical facial expressions connected by links to atypical but related face expressions previously encountered. This enables new input to be channelled along the appropriate path to an interpretation based on previous experience. The system is capable of learning new emotion labels and associated face actions for use in subsequent interpretations. A prototype system has been developed on a SUN 2/MJN/120 system using POPLOG.V alidation studies suggest that the interpretations offered by Janus are generally consistent with those of human expert.
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Svečiulytė, Domininka. "The Translation of Computer Terms in the Lithuanian Version of Dan Brown's Digital Fortress." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080806_135600-29837.

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The aim of the present paper is to analyze the translation and types of computer terms found in the Lithuanian version of Dan Brown’s Digital Fortress. Since the novel is linked to terminology, the relationship between literal and technical translation is searched. The hypothesis that a translator has more freedom in translating a certain terminology in a literary work than in dealing with the same terminology in a technical kind of text is raised. The possible influence of the text type and genre to the process of translation is observed. Therefore, the theoretical part, presented in the first part of the thesis, refers to the exposition of the Scopos theory, the review of translation strategies, technothriller features, term typology and computer terminology in English and Lithuanian. Further, the translation strategies, introduced by Christina Schaffner and Uwe Wiesemann (2001), are chosen for the practical part, and the application of syntactic, semantic and pragmatic modification to computer terms in Digital Fortress and its Lithuanian version Skaitmeninė tikrovė (translated by Jonas Čeponis in 2005) is discussed. In addition, the comparative analysis of term types, proposed by on Robert Dubuc, in the English and Lithuanian texts is carried out. The results of the application of translation strategies, presented in a statistical form, have shown that computer terms were predominately translated using literal translation. An amount of other strategies were also employed... [to full text]<br>Šio darbo tikslas – išanalizuoti kompiuterijos terminų vertimą Dano Browno romane „Skaitmeninė tikrovė“. Tam tikros terminologijos panaudojimas romane demonstruoja literatūrino ir technino vertimų sąsaja, todėl buvo iškelta hipotezė, kad versdamas konkrečius terminus aptinkamus literatūros kūrinyje vertėjas turi daugiau laisvės nei versdamas techninius tekstus. Pastebėta ir galima teksto rūšies ir žanro įtaka vertimui, todėl darbo pradžioje apžvelgiamos teksto tikslo (skopos) teorija ir vertimo strategijos, išskiriamos techno-trilerių savybės, apibendrinama terminų tipologija ir kompiuterija lietuvių ir anglų kalbose. Lietuvių vertėjo Jono Čeponio vertimo analizei pasirinktos Christinos Schaffner ir Uwe Wiesemanno siūlomos strategijos (2001). Praktinėje dalyje taip pat palyginama kompiuterijos terminų tipologija originalo tekste bei jo vertime, terminus skirstant pagal Roberto Dubuco terminų klasifikaciją. Atliktos analizės rezultatai ir jų statistinė išraiška parodė, kad terminų vertimui dažniausiai buvo taikoma tiesioginio vertimo strategija. Tačiau buvo panaudota ir nemažai kitų strategijų bei jų junginių. Atrinktų anglų ir lietuvių kompiuterijos terminų tipologijos palyginimas atskleidė, kad didžioji dalis terminų tipų po vertimo nepakito. Tačiau sudėtinių terminų skaičius išaugo, o santrumpų vertime atsirado daugiau paaiškinimų. Tai reiškia, kad vertimo tekstas tapo informatyvesnis, pritaikytas lietuvių skaitytojams. Išryškėjusi tendencija vertimui naudoti skolinius ir... [toliau žr. visą tekstą]
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Books on the topic "Computer terms"

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Covington, Michael A. Dictionary of computer terms. 3rd ed. Barron's, 1992.

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Ireland. Department of Education. Téarmaí ríomhaireachta =: Computer terms. An Gúm, 1990.

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Downing, Douglas. Dictionary of computer terms. 4th ed. Barron's, 1995.

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Downing, Douglas. Dictionary of computer terms. Barron's, 1986.

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Covington, Michael A. Dictionary of computer terms. 2nd ed. Barron's, 1989.

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Sippl, Charles J. The new Webster's computer terms. Lexicon Pub., 1990.

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Sumner, John. Student's guide to computer terms. Kuma Computers, 1993.

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Center, United States Department of Defense National Computer Security. Glossary of computer security terms. Department of Defense, National Computer Security Center, 1988.

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Roditti, Esther C. Glossary of computer and Internet terms. LexisNexis M. Bender, 2000.

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Kraynak, Joe. The complete idiot's guide to computer terms. Alpha Books, 1993.

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Book chapters on the topic "Computer terms"

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Rasmussen, William O., C. T. K. Ching, Lucille A. Linden, et al. "Computer Concepts and Terms." In Computer Applications in Agriculture. CRC Press, 2021. http://dx.doi.org/10.1201/9780429035180-2.

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Tandetnik, Igor L. "Unification of terms with term-indexed variables." In Logical Foundations of Computer Science. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63045-7_37.

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Kohl, Christina, and Aart Middeldorp. "Composing Proof Terms." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29436-6_20.

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Dowek, Gilles, and Jean-Jacques Lévy. "Terms and Relations." In Undergraduate Topics in Computer Science. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-076-2_1.

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Rychlikowski, Paweł, and Tomasz Truderung. "Set Constraints on Regular Terms." In Computer Science Logic. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30124-0_35.

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Khasidashvili, Zurab, and Adolfo Piperno. "Normalization of Typable Terms by Superdevelopments." In Computer Science Logic. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/10703163_18.

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Lombardi, Carlos, Alejandro Ríos, and Roel de Vrijer. "Proof Terms for Infinitary Rewriting." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08918-8_21.

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Alessi, Fabio, Mariangiola Dezani-Ciancaglini, and Furio Honsell. "Filter Models and Easy Terms." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45446-2_2.

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Yasen, Alimujiang, and Kazunori Ueda. "Unification of Hypergraph $$\lambda $$ -Terms." In Topics in Theoretical Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68953-1_9.

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Zagozda, Joanna. "Anonymity in Terms of Technologies." In Control, Computer Engineering and Neuroscience. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72254-8_35.

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Conference papers on the topic "Computer terms"

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Knauss, Eric, Sebastian Meyer, and Kurt Schneider. "Recommending Terms for Glossaries: A Computer-Based Approach." In 2008 First International Workshop on Managing Requirements Knowledge (MARK). IEEE, 2008. http://dx.doi.org/10.1109/mark.2008.8.

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Lepoittevin, Yann, and Isabelle Herlin. "Regularization Terms for Motion Estimation." In International Conference on Computer Vision Theory and Applications. SCITEPRESS - Science and Technology Publications, 2016. http://dx.doi.org/10.5220/0005712104560464.

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Yeganeh, Soheil Hassas, Milad Eftekhar, Yashar Ganjali, Ram Keralapura, and Antonio Nucci. "CUTE: Traffic Classification Using TErms." In 2012 21st International Conference on Computer Communications and Networks - ICCCN 2012. IEEE, 2012. http://dx.doi.org/10.1109/icccn.2012.6289207.

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de Lataillade, Joachim. "Dinatural Terms in System F." In 2009 24th Annual IEEE Symposium on Logic In Computer Science (LICS). IEEE, 2009. http://dx.doi.org/10.1109/lics.2009.30.

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Gascón, Adria, Guillem Godoy, and Manfred Schmidt-Schauss. "Context Matching for Compressed Terms." In 2008 23rd Annual IEEE Symposium on Logic in Computer Science (LICS 2008). IEEE, 2008. http://dx.doi.org/10.1109/lics.2008.17.

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Bentounsi, Imene, and Zizette Boufaida. "Extracting candidate terms from medical texts." In 2013 ACS International Conference on Computer Systems and Applications (AICCSA). IEEE, 2013. http://dx.doi.org/10.1109/aiccsa.2013.6616486.

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Ittoo, Ashwin, and Laura Maruster. "Ensemble Similarity Measures for Clustering Terms." In 2009 WRI World Congress on Computer Science and Information Engineering. IEEE, 2009. http://dx.doi.org/10.1109/csie.2009.764.

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Maciel, Cristiano, Renato Neder, Paulo Ramalho, Olivan Rabelo, Elizandra Zambra, and Nathalia Benevides. "Business Process Management: Terms, Trends and Models." In 2018 Federated Conference on Computer Science and Information Systems. PTI, 2018. http://dx.doi.org/10.15439/2018f334.

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Ehrhard, Thomas. "A Finiteness Structure on Resource Terms." In 2010 25th Annual IEEE Symposium on Logic in Computer Science (LICS 2010). IEEE, 2010. http://dx.doi.org/10.1109/lics.2010.38.

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Tsukada, Takeshi, Kazuyuki Asada, and C. H. Luke Ong. "Generalised species of rigid resource terms." In 2017 32nd Annual ACM/IEEE Symposium on Logic in Computer Science (LICS). IEEE, 2017. http://dx.doi.org/10.1109/lics.2017.8005093.

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Reports on the topic "Computer terms"

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Whittaker, Mary S., Sue Berg, and Carol Lane. Glossary of Computer Security Terms. Version 1. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada207490.

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Williams, W. R. Computer programs for developing source terms for a UF{sub 6} dispersion model to simulate postulated UF{sub 6} releases from buildings. Office of Scientific and Technical Information (OSTI), 1985. http://dx.doi.org/10.2172/10115636.

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Icenhour, A. S., and M. L. Tharp. User`s Manual for the SOURCE1 and SOURCE2 Computer Codes: Models for Evaluating Low-Level Radioactive Waste Disposal Facility Source Terms (Version 2.0). Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/461157.

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Semerikov, Serhiy O., Illia O. Teplytskyi, Yuliia V. Yechkalo, and Arnold E. Kiv. Computer Simulation of Neural Networks Using Spreadsheets: The Dawn of the Age of Camelot. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2648.

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The article substantiates the necessity to develop training methods of computer simulation of neural networks in the spreadsheet environment. The systematic review of their application to simulating artificial neural networks is performed. The authors distinguish basic approaches to solving the problem of network computer simulation training in the spreadsheet environment, joint application of spreadsheets and tools of neural network simulation, application of third-party add-ins to spreadsheets, development of macros using the embedded languages of spreadsheets; use of standard spreadsheet add-ins for non-linear optimization, creation of neural networks in the spreadsheet environment without add-ins and macros. After analyzing a collection of writings of 1890-1950, the research determines the role of the scientific journal “Bulletin of Mathematical Biophysics”, its founder Nicolas Rashevsky and the scientific community around the journal in creating and developing models and methods of computational neuroscience. There are identified psychophysical basics of creating neural networks, mathematical foundations of neural computing and methods of neuroengineering (image recognition, in particular). The role of Walter Pitts in combining the descriptive and quantitative theories of training is discussed. It is shown that to acquire neural simulation competences in the spreadsheet environment, one should master the models based on the historical and genetic approach. It is indicated that there are three groups of models, which are promising in terms of developing corresponding methods – the continuous two-factor model of Rashevsky, the discrete model of McCulloch and Pitts, and the discrete-continuous models of Householder and Landahl.
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Бакум, З. П., and В. В. Ткачук. Mining Engineers Training in Context of Innovative System of Ukraine. Криворізький державний педагогічний університет, 2014. http://dx.doi.org/10.31812/0564/425.

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The paper clarifies the process of a mining engineer training in terms of the innovation system of Ukraine. The authors analyze a number of normative documents concerning innovative activity in Ukraine in general and mining business in particular. In the process of implementation of innovations into mining industrial complex urgent problems are defined. The methodology of information and communication technologies (electronic, distance and mobile studies) usage in engineers training within the conditions of university education is offered. It is marked that the worked out methodology finds its practical introduction: e-learning involves creation of the portal "Electronic mentor"; distance learning is presented in the study of professional disciplines as an example of the course "Сomputer Technologies in Mining"; mobile learning is considered as an example of discipline "Computer Science and Engineering".
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Ступнік, М. І., В. С. Моркун, and З. П. Бакум. Information and Communication Technologies in the Process of Mining Engineer Training. Криворізький державний педагогічний університет, 2013. http://dx.doi.org/10.31812/0564/405.

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Based on scientific analysis the authors of the article argued the necessity of solving priority tasks – the development of new educational technologies aimed at supporting the training of engineers in terms of the mining engineering as high-tech industry. The features of mining computer technologies are determined. There was worked out the project of the adaptive system of a mining engineer individual training "Electronic manual" aimed at the development of future professionals. The essence of individual preparation of future mining engineer ICT is defined. It is proved that the efficiency of the designing and planning of mining operations through the introduction of ICT at present is the real way to influence the quality of mining products that will promote individual learning orientation. For the first time pedagogical foundations for introducing adaptive training of mining engineers are clarified.
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Maletic, D., and A. G. Ruggiero. Computer Precision Effects on Long Term Tracking. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/1118946.

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West-Brown, Molra J., Don Stikvoort, Klaus-Peter Kossakowski, Georgia Killcrece, and Robin Ruefle. Handbook for Computer Security Incident Response Teams (CSIRTs). Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada413778.

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West-Brown, Moira, Don Stikvoort, and Klaus-Peter Kossakowski. Handbook for Computer Security Incident Response Teams (CSIRTs). Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada358945.

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Hermann, O. W., C. V. Parks, J. P. Renier, et al. Multicode comparison of selected source-term computer codes. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/6225635.

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