Auswahl der wissenschaftlichen Literatur zum Thema „Systems, Expert (Computer science)“

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Zeitschriftenartikel zum Thema "Systems, Expert (Computer science)"

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Matsuzaka, Yasunari, and Ryu Yashiro. "AI-Based Computer Vision Techniques and Expert Systems." AI 4, no. 1 (2023): 289–302. http://dx.doi.org/10.3390/ai4010013.

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Computer vision is a branch of computer science that studies how computers can ‘see’. It is a field that provides significant value for advancements in academia and artificial intelligence by processing images captured with a camera. In other words, the purpose of computer vision is to impart computers with the functions of human eyes and realise ‘vision’ among computers. Deep learning is a method of realising computer vision using image recognition and object detection technologies. Since its emergence, computer vision has evolved rapidly with the development of deep learning and has signific
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Cooper, Philip. "Expert systems in management science." Future Generation Computer Systems 2, no. 4 (1986): 217–23. http://dx.doi.org/10.1016/0167-739x(86)90021-x.

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Jones, R. P. "Expert systems." International Review of Law, Computers & Technology 2, no. 1 (1986): 142–44. http://dx.doi.org/10.1080/13600869.1986.9966241.

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Upchurch, E. T., K. S. Raman, and K. Ranai. "Designing expert systems for modeling complex computer systems." ISA Transactions 28, no. 1 (1989): 27–29. http://dx.doi.org/10.1016/0019-0578(89)90053-0.

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Miller, CDF. "Expert systems." Data Processing 27, no. 6 (1985): 49. http://dx.doi.org/10.1016/0011-684x(85)90281-3.

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Ruttkay, Z. "Expert systems in computer-aided design." Computer-Aided Design 21, no. 9 (1989): 596. http://dx.doi.org/10.1016/0010-4485(89)90022-5.

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El-Najdawi, M. K., and Anthony C. Stylianou. "Expert support systems." Communications of the ACM 36, no. 12 (1993): 55. http://dx.doi.org/10.1145/163298.163306.

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Gallant, Stephen I. "Connectionist expert systems." Communications of the ACM 31, no. 2 (1988): 152–69. http://dx.doi.org/10.1145/42372.42377.

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Lirov, Yuval. "Computer-aided software engineering of expert systems." Expert Systems with Applications 2, no. 4 (1991): 333–43. http://dx.doi.org/10.1016/0957-4174(91)90039-h.

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Prantosh Kr. Pau, C., R. Senthamarai, K. S. Shivraj, D. Chatterjee, and B. Karn. "Artificial Intelligence and Expert Systems: Its Emerging Interaction and Importance in Information Science – An overview." Asian Journal of Electrical Sciences 1, no. 2 (2012): 6–10. http://dx.doi.org/10.51983/ajes-2012.1.2.1684.

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This paper mainly deals with overview of artificial intelligence and Expert System. Artificial Intelligence primarily responsible for developing computer programs which are able to read, speak, and understand as like man. Other hand Expert System refers to expert System needed for advance decision and intelligence robotics application. Expert System can communicate with user in their natural language and processes the capacity to catch to the individual desire. Here in this paper role of Artificial Intelligence and Expert System elaborate briefly, where as application of these computer techniq
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Dissertationen zum Thema "Systems, Expert (Computer science)"

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Ali, Mohammad. "Micro expert." Virtual Press, 1991. http://liblink.bsu.edu/uhtbin/catkey/774767.

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The purpose of this research was to investigate different approaches to expert system design and implementation. The resulting research information was used to create a microcomputer based expert system for the university computer services. The aim of this expert system is to help users (students, faculty, and staff) with micro computer purchases. As part of the research various interviews were conducted with prospective computer purchasers and the micro computer experts. This approach was taken to ensure that the system was easy to use and that it provided all users with vital information reg
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Scott, Lawrence Gill. "Explanations in hybrid expert systems." Thesis, University of British Columbia, 1990. http://hdl.handle.net/2429/28741.

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This thesis addresses the problem of providing explanations for expert systems implemented in a shell that supports a hybrid knowledge representation architecture. Hybrid representations combine rules and frames and are the predominant architecture in intermediate and high-end commercial expert system shells. The main point of the thesis is that frames can be endowed with explanation capabilities on a par with rules. The point is illustrated by a partial specification for an expert system shell and sample explanations which could be generated by an expert system coded to that specification. A
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Wong, King Cheong. "Expert systems for foundation design." Thesis, The University of Sydney, 1990. https://hdl.handle.net/2123/26306.

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Expert system technology has been brought from Artificial Intelligence research laboratories to the real world over the last decade. However, to date, there are few expert systems that have been developed for foundation design work. The problems are due to technical and psychological factors and are similiar to those when computers were firstly introduced. In this thesis, the difficulties of building expert systems for foundation engineering application are identified. The work in this thesis is an attempt to study the applicability of expert systems to foundation design and find solutions
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Zoorob, Riad J. "S.E.S., a simulation expert system." Virtual Press, 1994. http://liblink.bsu.edu/uhtbin/catkey/897507.

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The continuous increase in the cost of building real life projects, the high cost of researches concerning a project and the urgent demands for the project to be delivered in a short period of time have urged researchers to find a new scheme of programming in which they would be able to simulate or emulate the real life activities and projects using a computer and a procedural language. But such a scheme of programming was lengthy, tedious and costly. Therefore, it was necessary to find a specialized simulation software that would save the programmer's time and effort on the one hand and would
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Bradshaw, John. "The P.R.O. expert system shell." Thesis, Rhodes University, 1987. http://hdl.handle.net/10962/d1006302.

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This thesis reports the research which led to the development of the P.R .O. Expert System Shell. The P.R.O . System is primarily, though not exclusively , designed for use in ecological domains. In the light of two specific expert systems, The RCS (River Conservation Status) and the Aquaculture Systems, which were developed as part of this research, a number of areas of importance have been identified. The most significant of these is the need to handle uncertainty effectively. The style of knowledge representation to be implemented also plays an important role. After consulting the relevant
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Fisher, David B. "Expert systems in typography /." Online version of thesis, 1990. http://hdl.handle.net/1850/10583.

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Koushik, Geetha. "The specifications of an expert system for configuring teleconferencing systems." Master's thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-10242009-020049/.

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Aiken, Andrew. "AKT-R4 a diagnosis tool." Thesis, Available from the University of Aberdeen Library and Historic Collections Digital Resources, 2008. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?application=DIGITOOL-3&owner=resourcediscovery&custom_att_2=simple_viewer&pid=25223.

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Carden, Kenneth John. "Explanation in rule-based expert systems." Thesis, Rhodes University, 1988. http://hdl.handle.net/10962/d1002034.

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The ability of an expert system to explain its reasoning is fundamental to the system's credibility. Explanations become even more vital in systems which use methods of uncertainty propagation. The research documented here describes the development of an explanation sub-system which interfaces with the P.R.O. Expert System Toolkit. This toolkit has been used in the development of three small ecological expert systems. This project has involved adapting the results of research in the field of explanation-generation, to the requirements of the ecologist users. The subsystem contains two major co
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Farmani, Maryam. "Object-oriented expert system design TEXPERT /." Morgantown, W. Va. : [West Virginia University Libraries], 2001. http://etd.wvu.edu/templates/showETD.cfm?recnum=2054.

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Thesis (M.S.)--West Virginia University, 2001.<br>Title from document title page. Document formatted into pages; contains xii, 121 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 118-121).
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Bücher zum Thema "Systems, Expert (Computer science)"

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Parsaye, Kamran. Expert systems for experts. Wiley, 1988.

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Parsaye, Kamran. Expert Systems for Experts. John Wiley&Sons, 1988.

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Parsaye, Kamran. Expert Systems for Experts. John Wiley & Son, 1988.

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Benfer, Robert Alfred. Expert systems. Sage Publications, 1991.

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Benfer, Robert Alfred. Expert systems. Sage Publications, 1991.

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Letendre, Alain. Expert systems. Govt. of Canada, Regional Industrial Expansion, 1985.

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inc, International Resource Development, ed. Expert systems. International Resource Development, 1985.

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Jay, Liebowitz, and Turban Efraim, eds. Managing expert systems. Idea Group Publishing, 1992.

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Frenzel, Louis E. Understanding expert systems. H.W. Sams, 1987.

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Daly, Donal. Expert systems introduced. Chartwell-Bratt, 1988.

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Buchteile zum Thema "Systems, Expert (Computer science)"

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Debenham, John. "Understanding expert systems maintenance." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/bfb0049133.

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Weik, Martin H. "expert system." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_6580.

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Cauvet, C., C. Proix, and C. Rolland. "Information systems design: An expert system approach." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/3-540-19074-0_50.

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Sánchez-Sánchez, Christian. "Expert System for Teaching Classification Systems Workflow." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-83882-8_1.

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Tofangchi, Schahin, Andre Hanelt, and Lutz M. Kolbe. "Towards Distributed Cognitive Expert Systems." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-59144-5_9.

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Weik, Martin H. "expert system shell." In Computer Science and Communications Dictionary. Springer US, 2000. http://dx.doi.org/10.1007/1-4020-0613-6_6581.

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Joobbani, Rostam. "Knowledge-Based Expert Systems." In The Kluwer International Series in Engineering and Computer Science. Springer US, 1986. http://dx.doi.org/10.1007/978-1-4613-2555-0_4.

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Klut, J. P., and J. H. P. Eloff. "MethoDex: A methodology for Expert Systems development." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-56804-2_11.

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Finch, Ian. "Viewpoints — Facilitating expert systems for multiple users." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/3-540-57234-1_38.

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Hartmann, Sven, Josef Küng, Gabriele Kotsis, A. Min Tjoa, and Ismail Khalil. "Correction to: Database and Expert Systems Applications." In Lecture Notes in Computer Science. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59051-2_29.

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Konferenzberichte zum Thema "Systems, Expert (Computer science)"

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Srinivasan, Sridhar. "Review of Computer Applications in Corrosion Science and Engineering." In CORROSION 2000. NACE International, 2000. https://doi.org/10.5006/c2000-00473.

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Abstract This paper reviews different types of computer applications utilized for solving problems in corrosion science and engineering. Brief descriptions of different types of computer applications, including expert systems, neural networks and object-oriented software systems are provided. A description of some of the currently available computer tools for modeling corrosion and cracking problems, selection of materials/equipment as well as for corrosion management, monitoring and control is also given.
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Mafazy, Muhammad Meftah, and Shintami Chusnul Hidayati. "Early Detection of Diabetes with Decision Support: Integrating Sixty-Five Symptoms Through a Forward-Chaining Expert System." In 2024 International Conference on Electrical Engineering and Computer Science (ICECOS). IEEE, 2024. https://doi.org/10.1109/icecos63900.2024.10791211.

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Ammar, Maan, Khuzama Ammar, Kinan Mansour, and Waad Ammar. "Expert Systems Generating Machine for Image Processing Applications." In 12th International Conference on Computer Science and Information Technology (CCSIT 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.121303.

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We introduce in this paper what can be considered a new trend in expert systems field. It is generating different expert systems using the same software platform developed for this purpose, and called “Expert Systems Generating Machine for Image Processing Applications ESGMIPA”. The machine is used to generate different expert systems in completely different application fields which indicates the feasibility of the proposal. Using what we called Domain Expert Guided Heuristic Search (DEGHS) and the machine, we generated an expert system that succeeded in cases where no algorithmic approach can
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Hovakimyan, Anna, Siranush Sargsyan, and Elen Soghomonyan. "Generation of Fuzzy Expert Systems via Machine Learning Methods." In Computer Science and Information Technologies 2023. Institute for Informatics and Automation Problems, 2023. http://dx.doi.org/10.51408/csit2023_44.

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Krapivin, Vladimir F., Ferdenant A. Mkrtchyan, Vladimir Yu Soldatov, and Vasile M. Tovarnitchi. "An Expert Systems for the Aquatic Systems Investigation." In 2017 21st International Conference on Control Systems and Computer Science (CSCS). IEEE, 2017. http://dx.doi.org/10.1109/cscs.2017.108.

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Nitu, Costica, Vladimir F. Krapivin, Ferdenant A. Mkrtchyan, and Anda Sabena Dobrescu. "Expert System for the Water System Diagnostics." In 2021 23rd International Conference on Control Systems and Computer Science (CSCS). IEEE, 2021. http://dx.doi.org/10.1109/cscs52396.2021.00062.

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Muqeem, Sana, Arazi Bin Idrus, Mohd Faris Khamidi, Yap Keem Siah, and Muhammad Saqib. "Application of Fuzzy expert systems for construction labor productivity estimation." In 2012 International Conference on Computer & Information Science (ICCIS). IEEE, 2012. http://dx.doi.org/10.1109/iccisci.2012.6297298.

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Kaimal, Latha B., Abhir Raj Metkar, and Rakesh G. "Self Learning Real Time Expert System." In Third International Conference on Computer Science & Information Technology. Academy & Industry Research Collaboration Center (AIRCC), 2013. http://dx.doi.org/10.5121/csit.2013.3641.

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Bilen, Mehmet, Ali Hakan Isik, and Tuncay Yigit. "Expert system software for domestic animals." In 2017 International Conference on Computer Science and Engineering (UBMK). IEEE, 2017. http://dx.doi.org/10.1109/ubmk.2017.8093581.

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Ruszczak, Bogdan, and Katarzyna Rudnik. "Ensemble-based versus expert-assisted approach to carbon price features selection." In 18th Conference on Computer Science and Intelligence Systems. PTI, 2023. http://dx.doi.org/10.15439/2023f8389.

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Berichte der Organisationen zum Thema "Systems, Expert (Computer science)"

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Olefirenko, Nadiia V., Ilona I. Kostikova, Nataliia O. Ponomarova, Kateryna O. Lebedieva, Vira M. Andriievska, and Andrey V. Pikilnyak. Training elementary school teachers-to-be at Computer Science lessons to evaluate e-tools. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3890.

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The study purpose is to develop methodological support for students’ training for evaluation e-tools for young learners and to check its effectiveness experimentally. The module “Expert evaluation of the quality of e-tools for young learners” is offered for teachers-to-be. The determination of the weighting factor of each criterion by expert evaluations was organized. Educational principles, correlation e-tool content with the curriculum, interactivity, multimedia, assistance system, ergonomic requirements are mentioned. On the basis of the criterion rank, the significance of each criterion wa
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McKinley, Catherine, Prem Sylvester, Benjamin Faveri, et al. Recommendations for a Global AI Auditing Framework: Summary of Standards and Features. Edited by Saiph Savage, Mona Sloam, Luis Adrián Castro-Quiroa, et al. International Panel on the Information Environment (IPIE), 2024. https://doi.org/10.61452/guyx7442.

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This Summary for Policymakers provides a high-level précis of the Synthesis Report Towards A Global AI Auditing Framework: Assessment and Recommendations. The growing integration of artificial intelligence (AI) into critical sectors of society, from healthcare to education, has the potential to support widespread social transformation and progress. However, AI systems also have the power to perpetuate biases, deepen inequalities, and cause environmental harm. Accurately evaluating the risks and benefits of an AI system requires a careful audit. Current approaches to auditing, however, rarely i
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Faveri, Benjamin, Maureen Johnson-León, Prem Sylvester, et al. Towards A Global AI Auditing Framework: Assessment and Recommendations. Edited by Luis Adrián Castro-Quiroa, Eloísa Gacía-Canseco, Joan Hassan, et al. International Panel on the Information Environment (IPIE), 2025. https://doi.org/10.61452/zwed1485.

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A high-level précis of the Synthesis Report can be found in the Summary for Policymakers Recommendations for a Global AI Auditing Framework: Summary of Standards and Features. The growing integration of artificial intelligence (AI) into critical sectors of society, from healthcare to education, has the potential to support widespread social transformation and progress. However, AI systems also have the power to perpetuate biases, deepen inequalities, and cause environmental harm. Accurately evaluating the risks and benefits of an AI system requires a careful audit. Current approaches to auditi
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Oleksiuk, Vasyl P., and Olesia R. Oleksiuk. Exploring the potential of augmented reality for teaching school computer science. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4404.

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The article analyzes the phenomenon of augmented reality (AR) in education. AR is a new technology that complements the real world with the help of computer data. Such content is tied to specific locations or activities. Over the last few years, AR applications have become available on mobile devices. AR becomes available in the media (news, entertainment, sports). It is starting to enter other areas of life (such as e-commerce, travel, marketing). But education has the biggest impact on AR. Based on the analysis of scientific publications, the authors explored the possibilities of using augme
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Chakraborty, Srijani. Promises and Challenges of Systems Biology. Nature Library, 2020. http://dx.doi.org/10.47496/nl.blog.09.

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Modern systems biology is essentially interdisciplinary, tying molecular biology, the omics, bioinformatics and non-biological disciplines like computer science, engineering, physics, and mathematics together.
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Wachen, John, Mark Johnson, Steven McGee, Faythe Brannon, and Dennis Brylow. Computer Science Teachers as Change Agents for Broadening Participation: Exploring Perceptions of Equity. The Learning Partnership, 2021. http://dx.doi.org/10.51420/conf.2021.2.

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In this paper, the authors share findings from a qualitative analysis of computer science teachers’ perspectives about equity within the context of an equity-focused professional development program. Drawing upon a framework emphasizing educator belief systems in perpetuating inequities in computer science education and the importance of equity-focused teacher professional development, we explored how computer science teachers understand the issue of equity in the classroom. We analyzed survey data from a sample of participants in a computer science professional development program, which reve
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Proskura, Svitlana L., and Svitlana H. Lytvynova. The approaches to Web-based education of computer science bachelors in higher education institutions. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3892.

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The problem of organizing of Web-based education of bachelors, and the bachelors of computer science in particular, is relevant for higher education institutions. The IT industry puts forward new requirements for future IT professionals training. This, in its turn, requires the educational process modernization: content specification, updating of forms, methods and means of training to meet the demands of socio-economic development of the society in general and bachelors of computer science in particular. The article analyzes and clarifies the notion of Web-based education of bachelors; as wel
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Velychko, Vladyslav Ye, Elena H. Fedorenko, and Darja A. Kassim. Conceptual Bases of Use of Free Software in the Professional Training of Pre-Service Teacher of Mathematics, Physics and Computer Science. [б. в.], 2018. http://dx.doi.org/10.31812/123456789/2667.

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The development of education is associated primarily with the use of ICT. A significant experience is already gained in how to use educational computer systems while new forms and methods of learning based on modern information technology are being developed and used. In relation to free software, a period when the quantity should translate into quality and an indicator of such translation is development of the concept of the introduction of free software in educational activities of universities. The proposed concept, let’s take Ukraine as an example, determines the main aim of introduction o
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Nechaev, V., Володимир Миколайович Соловйов, and A. Nagibas. Complex economic systems structural organization modelling. Politecnico di Torino, 2006. http://dx.doi.org/10.31812/0564/1118.

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One of the well-known results of the theory of management is the fact, that multi-stage hierarchical organization of management is unstable. Hence, the ideas expressed in a number of works by Don Tapscott on advantages of network organization of businesses over vertically integrated ones is clear. While studying the basic tendencies of business organization in the conditions of globalization, computerization and internetization of the society and the results of the financial activities of the well-known companies, the authors arrive at the conclusion, that such companies, as IBM, Boeing, Merced
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Eberle, Caitlyn, and Zita Sebesvari. Technical Report: Space debris. United Nations University - Institute for Environment and Human Security (UNU-EHS), 2023. http://dx.doi.org/10.53324/yiku7602.

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At present, there are approximately 8,300 satellites actively orbiting the Earth, gathering and distributing vital data for space science, Earth observation, meteorology, disaster early warning systems, telecommunication, and navigation. Satellites make our lives safer, more convenient and connected, and represent critical infrastructure that is now essential for a functioning society. However, as the number of satellites increases, so does the problem of space debris, posing a threat to both functioning satellites and the future of our orbit. This technical background report for the 2023 edit
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