Bibliografias temáticas / Collectibles – Computer network resources

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Literatura científica selecionada sobre o tema "Collectibles – Computer network resources"

Autor: Grafiati

Publicado: 25 de julho de 2024

Última modificação: 31 de julho de 2024

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Artigos de revistas sobre o assunto "Collectibles – Computer network resources"

Goffe, William L. "Computer Network Resources for Economists". Journal of Economic Perspectives 8, n.º 3 (1 de agosto de 1994): 97–119. http://dx.doi.org/10.1257/jep.8.3.97.

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This paper outlines resources for economists on the Internet, the large and very rapidly expanding computer network that is revolutionizing research in many fields. Even at this early stage, there are a number of very useful resources (such as large databases and mailing lists) for economists. Directions are given on how to retrieve the complete and current list of resources for economists, and the paper also contains a minimal set of directions on how to use the Internet. References are also given to more detailed general guides on the Internet.

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Gupta, Deepanshu. "Impact of PI Network (PINET) And PINFT Over Premium Domain Parking". Scientific Journal of Metaverse and Blockchain Technologies 2, n.º 1 (2024): 69–76. http://dx.doi.org/10.36676/sjmbt.v2.i1.10.

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Pi Network is a cryptocurrency project that aims to create a decentralized network for digital currency transactions. It was created by a team of Stanford graduates and launched in 2019. Unlike traditional cryptocurrencies like Bitcoin, Pi Network does not require mining and instead allows users to earn Pi coins by participating in the network and validating transactions. To earn Pi coins, users need to download the Pi Network app, create an account, and start mining. Mining on Pi Network is done by simply opening the app once a day to confirm that you are a real person and not a bot. This process is designed to be energy-efficient and does not require the use of computational resources like traditional mining. Pi Network is still in the development phase, and its future success will depend on its ability to build a strong and active community. It is also observed that NFTs are also used to promote the Pi Network could be a creative way to engage the community and generate interest in the cryptocurrency. These NFTs could represent unique digital assets or experiences related to the Pi Network ecosystem, such as exclusive access to events, special features within the Pi Network app, or even limited edition digital collectibles. By leveraging NFTs, the Pi Network could potentially attract more users and create a sense of exclusivity and value within its community. It could also provide a new way for users to participate in the network and be rewarded for their contributions. Present research is presenting impact of popularity of PINET and PINFT over premium domain parking.

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Bura, Aman, e Yang Dacheng . "GPRS Network Resources Optimization". Information Technology Journal 5, n.º 5 (15 de agosto de 2006): 970–75. http://dx.doi.org/10.3923/itj.2006.970.975.

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Bishop, Michael P., Roger M. Hubbard, James L. Ward, Mark S. Binkley e Thomas K. Moore. "Computer Network Resources for Physical Geography Instruction". Journal of Geography 92, n.º 3 (maio de 1993): 102–9. http://dx.doi.org/10.1080/00221349308979632.

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骆, 又麟. "Application of Network Resources in Computer Teaching". Vocational Education 13, n.º 03 (2024): 836–40. http://dx.doi.org/10.12677/ve.2024.133135.

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Niu, Yiming, Wenyong Du e Zhenying Tang. "Computer Network Security Defense Model". Journal of Physics: Conference Series 2146, n.º 1 (1 de janeiro de 2022): 012041. http://dx.doi.org/10.1088/1742-6596/2146/1/012041.

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Abstract With the rapid development of the Internet industry, hundreds of millions of online resources are also booming. In the information space with huge and complex resources, it is necessary to quickly help users find the resources they are interested in and save users time. At this stage, the content industry’s application of the recommendation model in the content distribution process has become the mainstream. The content recommendation model provides users with a highly efficient and highly satisfying reading experience, and solves the problem of information redundancy to a certain extent. Knowledge tag personalized dynamic recommendation technology is currently widely used in the field of e-commerce. The purpose of this article is to study the optimization of the knowledge tag personalized dynamic recommendation system based on artificial intelligence algorithms. This article first proposes a hybrid recommendation algorithm based on the comparison between content-based filtering and collaborative filtering algorithms. It mainly introduces user browsing behavior analysis and design, KNN-based item similarity algorithm design, and hybrid recommendation algorithm implementation. Finally, through algorithm simulation experiments, the effectiveness of the algorithm in this paper is verified, and the accuracy of the recommendation has been improved.

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Macleod, Roderick A. "Network resources and access tools". New Review of Information Networking 10, n.º 1 (maio de 2004): 85. http://dx.doi.org/10.1080/13614570412331311996.

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MacLeod, Roderick A. "Network resources and access tools". New Review of Information Networking 9, n.º 1 (janeiro de 2003): 79–80. http://dx.doi.org/10.1080/1361457042000186921.

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Weigeng, Shi. "Reconnectable network with limited resources". Journal of Computer Science and Technology 6, n.º 3 (julho de 1991): 243–49. http://dx.doi.org/10.1007/bf02945511.

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Xin Wang e H. Schulzrinne. "Pricing network resources for adaptive applications". IEEE/ACM Transactions on Networking 14, n.º 3 (junho de 2006): 506–19. http://dx.doi.org/10.1109/tnet.2006.872574.

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Teses / dissertações sobre o assunto "Collectibles – Computer network resources"

Crause, Ewald. "The effect of using a computer-based exploration tool on children's career development learning". Thesis, Nelson Mandela Metropolitan University, 2013. http://hdl.handle.net/10948/d1015020.

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Historically the process of career development was thought of as occurring in adolescence and adulthood; however, the renewed emphasis on lifelong career development has led to a greater focus on the career developmental stage of childhood. The present research focused on the development and trialling of a research-based computerised career exploration tool, Growing-up: Children Building Careers™ (GCBC™) that can be used for early intervention in children‘s career development. The integration of developmental considerations within a career developmental context is of paramount importance, considering that child and career developmental theories share certain basic foundational principles such as the dual recognition of identifiable life stages and the resolution or accomplishment of associated tasks. The focus of the research is to provide access to a research-based tool that can assist learners with developing age appropriate career developmental skills. As the overview of education policy and existing programs will show, there are challenges in providing access to and improving the nature, level, and quality of career development services. Gaps in access to career development learning are particularly evident at the elementary education level. Furthermore it is clear that learners need to be at the centre of a radical rethink of careers services within a lifelong learning framework in order to ensure access to navigational tools throughout a lifetime of work and study transitions. Digital environments, such as the GCBC™, are tools that broaden and extend learning possibilities for children and appropriately designed digital environments can provide a vehicle that can take children further than they might travel unassisted. The research is divided into five phases and includes eight to ten year old children as participants. Phase one focused on the program design and pilot study (ensuring content validity and age-appropriate language use), while phases two to five focused on the fieldwork (i.e., pre –test, program exposure, post-test, and focus group discussions). The researcher made use of a mixed research design that combines both quantitative and qualitative research methods. The total sample consisted of 146 children between the ages of eight to ten years old. The control group had 72 children and the experimental group 74 children with a mean age of 8.74 years (SD = 0.63) for the total sample. The quantitative data collection entailed a pre-and post-test design with learners‘ career development measured with the Childhood Career Development Scale (CCDS) and their career awareness with the Revised Career Awareness Survey (RCAS). Qualitative data was collected in the form of two focus group discussions, which included a small sample of children from the experimental group, as well as insights gained from educators following the GCBC™ fieldwork. The quantitative statistical analysis included descriptive and inferential statistics which allowed the researcher to not only describe the research findings, but to confirm the effectiveness of the GCBC™ as an intentional career development learning program. Furthermore, the responses of the children and educators who participated in or witnessed the facilitation of the GCBC™ provided support for the GCBC™ as a meaningful career learning experience which can be successfully implemented in educational settings.

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Bailey, Charles W. "Intelligent Multimedia Computer Systems: Emerging Information Resources in the Network Environment". Pierian Press, 1990. http://hdl.handle.net/10150/105658.

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A multimedia computer system is one that can create, import, integrate, store, retrieve, edit, and delete two or more types of media materials in digital form, such as audio, image, full-motion video, and text information. This paper surveys four possible types of multimedia computer systems: hypermedia, multimedia database, multimedia message, and virtual reality systems. The primary focus is on advanced multimedia systems development projects and theoretical efforts that suggest long-term trends in this increasingly important area.

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Nguyen, Thanh Vinh. "Content distribution networks over shared infrastructure a paradigm for future content network deployment /". Access electronically, 2005. http://www.library.uow.edu.au/adt-NWU/public/adt-NWU20060509.094632/index.html.

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Yang, Weilai. "Pricing Network Resources for Differentiated Service Networks". Diss., Georgia Institute of Technology, 2004. http://hdl.handle.net/1853/5227.

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We developed a price-based resource allocation scheme for Differentiated Service (DiffServ) data networks. The DiffServ framework was proposed to provide multiple QoS classes over IP networks. Since the provider supports multiple service classes, we need a differentiated pricing scheme, as supposed to the flat-rate scheme employed by the Internet service providers of today. Charging efficiently is a big issue. The utility of a client correlates to the amount of bandwidth allocated. One difficulty we face is that determining the appropriate amount of bandwidth to provision and allocate is problematic due to different time scales, multiple QoS classes and the unpredictable nature of users. To approach this problem, we designed a pricing strategy for Admission Control and bandwidth assignment. Despite the variety of existing pricing strategies, the common theme is that the appropriate pricing policy rewards users for behaving in ways to improve the overall utilization and performance of the network. Among existing schemes, we chose auction because it is scalable, and efficiently and fairly shares resources. Our pricing model takes the system's availability and each customer's requirements as inputs and outputs the set of clients who are admitted into the network and their allocated resource. Each client proposes a desired bandwidth and a price that they are willing to pay for it. The service provider collects this information and produces parameters for each class of service they provide. This information is used to decide which customers to admit. We proposed an optimal solution to the problem of maximizing the provider's revenue for the special case where there is only one bottleneck link in the network. Then for the generalized network, we resort to a simple but effective heuristic method. We validate both the optimal solution and the heuristic algorithm with simulations driven by a real traffic scenario. Finally, we allow customers to bid on the duration for which the service is needed. Then we study the performance of those heuristic algorithms in this new setting and propose possible improvements.

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Poon, Auliana. "Information technology and innovation in international tourism Implications for the Caribbean tourist industry /". Online version, 1987. http://ethos.bl.uk/OrderDetails.do?did=1&uin=uk.bl.ethos.383578.

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Richter, John Peter Frank. "An investigation into the design and implementation of an internet-scale network simulator". Thesis, Rhodes University, 2009. http://hdl.handle.net/10962/d1004840.

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Simulation is a complex task with many research applications - chiey as a research tool, to test and evaluate hypothetical scenarios. Though many simulations execute similar operations and utilise similar data, there are few simulation frameworks or toolkits that allow researchers to rapidly develop their concepts. Those that are available to researchers are limited in scope, or use old technology that is no longer useful to modern researchers. As a result of this, many researchers build their own simulations without a framework, wasting time and resources on a system that could already cater for the majority of their simulation's requirements. In this work, a system is proposed for the creation of a scalable, dynamic-resolution network simulation framework that provides scalable scope for researchers, using modern technologies and languages. This framework should allow researchers to rapidly develop a broad range of semantically-rich simulations, without the necessity of superor grid-computers or clusters. Design and implementation are discussed and alternative network simulations are compared to the proposed framework. A series of simulations, focusing on malware, is run on an implementation of this framework, and the results are compared to expectations for the outcomes of those simulations. In conclusion, a critical review of the simulator is made, considering any extensions or shortcomings that need to be addressed.

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Mainville, Sylvie. "Investigating the Delivery of Therapeutic Recreation Services on the Internet: a Pilot Study Using Leisure Education for the Prevention of Alcohol Abuse". Thesis, University of North Texas, 1998. https://digital.library.unt.edu/ark:/67531/metadc278246/.

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This pilot study, grounded in social learning theory, demonstrated that leisure education services can be delivered on the Internet. Participants (n=40) successfully accessed the Web page program and responded to instruments and surveys. The treatment group (n=16) effectively completed four leisure education sessions on-line. Confidentiality, privacy, and anonymity issues were controlled. Responses were monitored and feedback provided as to the complexity of the program and comprehension of the participants. The leisure education program had no significant effect on posttest measures of alcohol expectancies and leisure motivations. Mean changes frompretest to posttest may indicate trends. The small n and convenience sample may have introduced many extraneous variables. Professional implications include compliance issues (57% experimental mortality rate), technology-related anxiety, and limited professional competency to work in this environment. Future research which examines the provision of leisure education and other components of therapeutic recreation service on-line is warranted.

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Pi, Seungho. "A review and analysis of East Central Indiana School Study Council corporations' web sites". Virtual Press, 2003. http://liblink.bsu.edu/uhtbin/catkey/1263927.

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The Web has become an essential part in the lives of individuals on a global scale. The Web provides information, data, and unprecedented international communicative powers. Because there is so much information available and the information may appear to be fairly anonymous, it is necessary to evaluate what one finds on the Web. How can Web users believe all the information that is available on it? Is the information authoritative, reliable, and trustworthy? And, from the reverse perspective, how can Web developers or providers make Web users confident about the information on the Web?There currently is no research-based Web site evaluation instrument aimed at evaluating school district Web sites. In addition, the problem of this study is to respond to the expressed need of the East Central Indiana School Study Council (ECISSC) school corporations' superintendents for a set of guidelines for developing their Web sites and to develop an evaluation tool for assessing the Web site's effectiveness.The researcher specifically examines the degree of quality of the Web sites using the researcher-developed checklist containing 137 items divided among 10 categories: authority, accuracy, objectivity, currency, coverage and intended audience, interaction and transaction features, navigational aids, non-text features, professional development, and recruitment features. Of the 10 Web evaluation categories, navigational aids (50.42%), accuracy (42.06%), and authority (41.8%) are the highest rated components. ECISSC Web contents receiving the lowest ratings include recruitment and retention features (6.74%), interaction and transaction features (8.70%), currency (8.95%), and professional development (9.33%).The findings of this study provide specific guidance to individual school corporations to retain quality Web site components and to further the development and refinement of specific elements in each of the 10 identified Web assessment categories. Individual school corporations and ECISSC school corporations' profiles are presented to assist school officials in their efforts to improve school Web site designs and contents. The 10 Web evaluation categories and 137-checklist items can be used to assess and improve school Web site and can increase their effectiveness and efficiency to promote enhanced school-community relations and understanding among stakeholders.
Department of Educational Leadership

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Jahani, Masoumeh. "Computer simulation of the osteocyte and bone lining cell network and the effect of normal physiological changes in cellular functions on that network". Thesis, University of Hull, 2012. http://hydra.hull.ac.uk/resources/hull:7112.

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Osteocytes play a critical role in the regulation of bone remodelling by translating strain due to mechanical loading into biochemical signals transmitted through the interconnecting lacuno-canalicular network to bone lining cells (BLCs) on the bone surface. This work aims to examine the effects of disruption of that intercellular communication by simulation of osteocyte apoptosis and microcrack in the bone matrix. A model of a uniformly distributed osteocyte network has been developed that stimulates the signalling through the network to the BLCs based on strain level. Bi-directional and asymmetric communication between neighbouring osteocytes and BLCs is included; with propagation of the signal through the network gradually decreasing by a calcium decay factor. The effect of osteocyte apoptosis and microcracks are then examined by preventing signalling at and through the affected cells. It is found that a small percentage of apoptotic cells and tiny microcracks both lead to a significant reduction in the peak signal at the BLCs. The simulation shows that either apoptosis of only 3% of the osteocyte cells or tiny microcrack of 42μm, 42μm below the surface leads to a significant reduction in the peak signal at the BLCs. Furthermore, experiments with the model confirm how important the location and density of the apoptotic osteocytes are to the signalling received at the bone surface. The result also shows the importance of the location and length of microcrack on the signalling of BLC. The first may explain a possible mechanism leading to increased remodelling activity observed with osteoporosis, and the second, the mechanism driving normal bone remodelling and maintenance.

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Zhang, Ying. "Development of a web-based mechanical design resource center /". free to MU campus, to others for purchase, 2004. http://wwwlib.umi.com/cr/mo/fullcit?p1426120.

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Livros sobre o assunto "Collectibles – Computer network resources"

Susan, Koppelman, e Franks Alison 1944-, eds. Collecting and the Internet: Essays on the pursuit of old passions through new technologies. Jefferson, N.C: McFarland & Co., 2008.

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Wiggins, Pamela Y. Buying & selling antiques and collectibles on eBay. Boston, MA: Thomson/Course Technology, 2004.

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C, Edwards S., Ellis Phil 1962- e Hanes Joyce, eds. Miller's antiques, art & collectables on the Web. London: Octopus Pub., 2000.

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1962-, Ellis Phil, Edwards Simon 1959- e Hanes Joyce, eds. Miller's antiques, art & collectables on the Web. London: Miller's, 2003.

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Corporation, Thomson, e Gale Group, eds. Free resources. Stamford, CT: Thomson Corp., 2003.

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Flood, Michael. Environmental resources on the Internet. Milton Keynes: Powerful Information, 1995.

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Houweling, Feico. Energy on-line: A guide to Internet resources. London: FinancialTimes Energy, 1996.

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Powell, Kimberly. The everything guide to online genealogy. 2^a ed. Avon, Mass: Adams Media, 2011.

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Dalby, Elizabeth. The Usborne internet-linked introduction to Asia. Tulsa, Okla: EDC Pub., 2005.

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Mediaworks, StartSpot, ed. StartSpot network. Evanston, IL: StartSpot Mediaworks, 2001.

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Capítulos de livros sobre o assunto "Collectibles – Computer network resources"

Sallabi, Farag, e Ahmed Karmouch. "Mobile Network Domain Agency for Managing Network Resources". In Lecture Notes in Computer Science, 67–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45391-1_5.

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Nowicki, Krzysztof, Aleksander Malinowski e Marcin Sikorski. "More Just Measure of Fairness for Sharing Network Resources". In Computer Networks, 52–58. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39207-3_5.

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Reinhardt, Wilko. "Advance reservation of network resources for multimedia applications". In Lecture Notes in Computer Science, 23–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-58494-3_3.

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Reilly, James, e Maurizio Abate. "Scheduled connections: Managing temporal constraints on broadband network resources". In Lecture Notes in Computer Science, 425–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0056987.

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Gorbacheva, Lyubov, Maxim Zakharov, Alexander Paramonov e Andrey Koucheryavy. "Network Resources Optimization Algorithm for Robotic Systems in 6G Networks". In Lecture Notes in Computer Science, 309–19. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60994-7_26.

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Zhang, Haiqing, Lei Huang, Jianjun Zhou, Haifei Xu e Yintian Liu. "A Novel Personalized Recommendation for Intelligent Sharing of Network Resources". In Communications in Computer and Information Science, 227–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23226-8_30.

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Ismail, Ziad, Christophe Kiennert, Jean Leneutre e Lin Chen. "A Game Theoretical Model for Optimal Distribution of Network Security Resources". In Lecture Notes in Computer Science, 234–55. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68711-7_13.

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Matsumoto, Nobutaka, Takahiro Miyamoto, Michiaki Hayashi e Hideaki Tanaka. "BPEL Driven Policy Management of Virtualized Network Resources for IMS Environments". In Lecture Notes in Computer Science, 317–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-88623-5_32.

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Kuchař, Štěpán, Jan Martinovič, Pavla Dráždilová e Kateřina Slaninová. "Synthetic Social Network Based on Competency-Based Description of Human Resources". In Computer Information Systems and Industrial Management, 313–24. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40925-7_29.

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Yin, Zhixiang, e Hua Chen. "Impact of Network Information on the Management of Library E-Resources". In Communications in Computer and Information Science, 234–37. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-16397-5_21.

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Trabalhos de conferências sobre o assunto "Collectibles – Computer network resources"

Fife, Leslie D., e Kevin I. Frost. "Cost Savings through Effective Use of Network Resources". In Petroleum Computer Conference. Society of Petroleum Engineers, 1994. http://dx.doi.org/10.2118/28268-ms.

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Kim, M., M. Medard, V. Aggarwal, U. M. O�Reilly, W. Kim, C. W. Ahn e M. Effros. "Evolutionary Approaches To Minimizing Network Coding Resources". In IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications. IEEE, 2007. http://dx.doi.org/10.1109/infcom.2007.231.

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Liu, Xiaodong, e Huating Xu. "A Network Resources Scheduling Method for Virtual Machine". In Next Generation Computer and Information Technology 2014. Science & Engineering Research Support soCiety, 2014. http://dx.doi.org/10.14257/astl.2014.63.07.

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Zhu, Y., e M. Ammar. "Algorithms for Assigning Substrate Network Resources to Virtual Network Components". In Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications. IEEE, 2006. http://dx.doi.org/10.1109/infocom.2006.322.

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Balan, T. C., D. N. Robu e F. Sandu. "Ad-hoc lab computer network configuration using remote resources". In 2015 IEEE 21st International Symposium for Design and Technology in Electronic Packaging (SIITME). IEEE, 2015. http://dx.doi.org/10.1109/siitme.2015.7342360.

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Baxley, Stuart, Deniz Gurkan, Hamidreza Validi e Illya Hicks. "Graph Representation of Computer Network Resources for Precise Allocations". In 2022 International Conference on Computer Communications and Networks (ICCCN). IEEE, 2022. http://dx.doi.org/10.1109/icccn54977.2022.9868852.

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"Application of Computer Network Information Resources in Physical Education". In 2018 5th International Conference on Electrical & Electronics Engineering and Computer Science. Francis Academic Press, 2018. http://dx.doi.org/10.25236/iceeecs.2018.042.

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Huang, Pengda, Matthew Jordan Tonnemacher, Yongjiu Du, Dinesh Rajan e Joseph Camp. "Towards scalable network emulation: Channel accuracy versus implementation resources". In IEEE INFOCOM 2013 - IEEE Conference on Computer Communications. IEEE, 2013. http://dx.doi.org/10.1109/infcom.2013.6566996.

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Jiao, Keying. "Discussion on Construction of Network Teaching Platform Resources". In 2016 7th International Conference on Education, Management, Computer and Medicine (EMCM 2016). Paris, France: Atlantis Press, 2017. http://dx.doi.org/10.2991/emcm-16.2017.149.

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Yang, Feng, e Youquan Chen. "Ontology-Based Application Framework for Network Education Resources Library". In 2010 Second International Workshop on Education Technology and Computer Science. IEEE, 2010. http://dx.doi.org/10.1109/etcs.2010.267.

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