Relevant bibliographies by topics / User modelling

Academic literature on the topic 'User modelling'

Author: Grafiati
Published: 4 June 2021
Last updated: 29 January 2023

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Journal articles on the topic "User modelling"

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Kass, Robert, and Tim Finin. "General User Modelling." ACM SIGCHI Bulletin 20, no. 1 (July 1988): 76. http://dx.doi.org/10.1145/49103.1046413.

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Daina, Nicolò. "Modelling the user variable." Nature Energy 3, no. 2 (February 2018): 88–89. http://dx.doi.org/10.1038/s41560-018-0091-6.

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Markopoulos, Panos. "Modelling User Tasks with the Unified Modelling Language." IFAC Proceedings Volumes 34, no. 16 (September 2001): 29–34. http://dx.doi.org/10.1016/s1474-6670(17)41497-2.

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Sosnovsky, Sergey, and Darina Dicheva. "Ontological technologies for user modelling." International Journal of Metadata, Semantics and Ontologies 5, no. 1 (2010): 32. http://dx.doi.org/10.1504/ijmso.2010.032649.

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Kay, J. "Reusable tools for user modelling." Artificial Intelligence Review 7, no. 3-4 (August 1993): 241–51. http://dx.doi.org/10.1007/bf00849557.

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Schütz, Jörg. "User modelling in text generation." Journal of Pragmatics 22, no. 6 (December 1994): 684–86. http://dx.doi.org/10.1016/0378-2166(94)90037-x.

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Cawsey, Alison. "User modelling in interactive explanations." User Modeling and User-Adapted Interaction 3, no. 3 (September 1993): 221–47. http://dx.doi.org/10.1007/bf01257890.

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Eberle, Peter, Christian Schwarzinger, and Christian Stary. "User modelling and cognitive user support: towards structured development." Universal Access in the Information Society 10, no. 3 (September 14, 2010): 275–93. http://dx.doi.org/10.1007/s10209-010-0210-z.

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Castillejo, Eduardo, Aitor Almeida, and Diego López-de-Ipiña. "Modelling users, context and devices for adaptive user interface systems." International Journal of Pervasive Computing and Communications 10, no. 1 (April 2014): 69–91. http://dx.doi.org/10.1108/ijpcc-09-2013-0028.

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Wang, Yanru. "An improved user interest modelling by considering user social relationship." International Journal of Collaborative Intelligence 2, no. 3 (2021): 191. http://dx.doi.org/10.1504/ijci.2021.122705.

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Dissertations / Theses on the topic "User modelling"

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Biswas, P. "Inclusive user modelling." Thesis, University of Cambridge, 2010. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.596672.

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I have investigated how physical capabilities of users with a wide range of abilities are reflected in their interactions with digital devices. I have formulated a simulator that embodies both the internal state of a computer application and also the perceptual, cognitive and motor processes of its user. The simulator can predict the likely interaction patterns when undertaking a task using a variety of input devices, and estimate the time to complete the task in the presence of different disabilities and for different levels of skill. The simulator consists of a perception model, a cognitive model and a motor behaviour model. The preparation model simulates the phenomena of visual perception (like focussing and shifting attention) and can also simulate the effects of different visual impairments on interaction. It has predicted the visual search time and eye gaze pattern of able-bodied people and a few types of visually impaired users with statistically significant accuracy. The cognitive model simulates expert performance by using CPM-GOMS model. It can also simulate performance of novices by using a dual-space model. The motor-behaviour model is based on statistical analysis of cursor traces from motor-impaired users. As part of the model, I have also developed a new scale of characterizing the extent of disability of users by measuring their grip strength. I have evaluated the simulator through an icon searching task undertaken by visually and motor impaired people and also used the simulator to develop a new assistive interaction technique. My studies have already been used to design an accessible game and the University has been awarded EU funding for a project that will build on results from my PhD research.
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Adikari, Sisira. "Usability modelling for requirements engineering /." Canberra, 2008. http://erl.canberra.edu.au/public/adt-AUC20081204.145827/index.html.

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Nadee, Wanvimol. "Modelling user profiles for recommender systems." Thesis, Queensland University of Technology, 2016. https://eprints.qut.edu.au/93723/1/Wanvimol_Nadee_Thesis.pdf.

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Recommender systems assist users in finding what they want. The challenging issue is how to efficiently acquire user preferences or user information needs for building personalized recommender systems. This research explores the acquisition of user preferences using data taxonomy information to enhance personalized recommendations for alleviating cold-start problem. A concept hierarchy model is proposed, which provides a two-dimensional hierarchy for acquiring user preferences. The language model is also extended for the proposed hierarchy in order to generate an effective recommender algorithm. Both Amazon.com book and music datasets are used to evaluate the proposed approach, and the experimental results show that the proposed approach is promising.
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Adikari, Sisira, and n/a. "Usability Modelling For Requirements Engineering." University of Canberra. Information Sciences & Engineering, 2008. http://erl.canberra.edu.au./public/adt-AUC20081204.145827.

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For over two decades user-centric methods and techniques have been proposed to assist the production of usable, useful, and desirable software products. Despite these approaches, usability problems are still identified in finished software products creating problems at systems acceptance, rework and impacting end user experience. Part of the reason for these continuing problems is that user-centric approaches are not part of the traditional software engineering process. The literature review shows that software engineering and human-computer interaction are largely different communities. The aim of this thesis is to investigate whether the incorporation of user modelling and usability modelling into software requirements specifications would improve design quality and usability of software products. This research study used a Design Science dominant mixed research methodology consisting of case study and action research for creating, analysing and evaluating artefacts for improving the effectiveness of user-centred design and usability of software artefacts. Using the functional specification of an existing system in a government agency, ten designers created screen and interaction designs. The specification was then enhanced with usability specifications and the designers redeveloped their designs in the light of the enhanced specification. Both designs were subject to pre-defined usability tests and designers described their design experience as they worked. The results of the research demonstrated that enhancing traditional software requirements specifications with additional specifications of user modelling and usability modelling made a positive difference to both designer perception as well as design quality of user interface artefacts. The theoretical and practical values of these findings are explored.
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Despotakis, Dimoklis. "Modelling viewpoints in user generated content." Thesis, University of Leeds, 2013. http://etheses.whiterose.ac.uk/5754/.

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The Web 2.0 infrastructure allowed for a tremendous technological growth in the ways that information is distributed and exchanged among individuals. Web sites transformed to hosts of an abundance of user generated content in various domains comprising thereafter social media platforms. This evolution heralded the beginning of a new era for user modelling. Several types of applications have gained benefit from harvesting social media content for either populating or enriching user models by identifying, extracting and analysing digital user traces aiming at improving system responses for adaptation and personalisation. However, different user experiences and backgrounds determine different user viewpoints, and it is evident that the next generation of user modelling approaches should cater for viewpoints diversity. This can enable better understanding of the users' conceptualisations, their exposure to diverse interpretations overcoming thus the 'filter bubble' effect and enriching their perspective. How can we represent user viewpoints? How can we capture user-viewpoints from user generated content? How can we enable intelligent analysis of user viewpoints to explore diversity? This research complements notable efforts for viewpoints modelling by addressing three main challenges: (i) enable better understanding of users by capturing the semantics of user viewpoints; (ii) formally represent user viewpoints by capturing the viewpoint focus, and identify the projection of user models on the domain of interest; and, (iii) enable exploration of diversity by providing intelligent methods for analysis and comparison of viewpoints. The proposed approach is wrapped within a framework for representing, capturing and analysing user viewpoint semantics, called ViewS. ViewS defines a semantic augmentation pipeline for processing textual user generated content. The semantic output is then used as input together with the annotating ontologies in a component for capturing viewpoint focus which exploits Formal Concept Analysis. The viewpoint focus model is used then to analyse and compare user viewpoints and explore diversity. ViewS has been deployed and evaluated for user viewpoints on social signals in interpersonal communication, including emotion and body language, where diverse interpretations can be obtained by different individuals and groups.
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Strachan, Linda Noreen. "Pragmatic user modelling for complex commercial systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://hdl.handle.net/1993/1579.

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While user modelling has become a mature field, with demonstrable research systems of great power, comparatively little progress has been made in the development of user modelling components for commercial software systems. The development of minimalist user modelling components, which are simplified to provide "just enough" assistance to a user through a pragmatic adaptive user interface, is seen by many as an important step toward this goal. This thesis describes the development, implementation, and empirical evaluation of a minimalist user modelling component for the Tax and Investment Management Strategizer (TIMS), a complex commercial software system for financial management. The experimental results demonstrate that a minimalist user modelling component improves the subjective measure of user satisfaction. Important issues and considerations for the development of user modelling components for commercial software systems are also discussed.
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Lin, Jian. "General-purpose user-defined modelling system (GPMS)." Thesis, Lancaster University, 1993. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.335145.

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Cocea, Mihaela. "User modelling and adaptation in exploratory learning." Thesis, Birkbeck (University of London), 2011. http://eprints.port.ac.uk/12174/.

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User modelling in Exploratory Learning Environments (ELEs) is an emerging field with several challenges to be addressed. Due to the freedom given to learners, the amount of information generated is very large, making the modelling process very challenging. Consequently, only relevant information should be used in the user modelling process. This, however, leads to other challenges such as identification of relevant information, finding an optimal knowledge representation and defining an inference mechanism by which this knowledge is used in diagnosing the learner. This thesis addresses the challenges of user modelling in ELEs by monitoring learners' behaviour and taking into account only relevant actions in the context of an ELE for the domain of mathematical generalisation. An iterative approach was used, in line with the iterative design of the ELE. The modelling mechanism employed a modified version of Case-based Reasoning (CBR) and was evaluated using pedagogical scenarios and data from simulated and real students. This approach has the advantage of storing only relevant information and allows learner diagnosis during as well as at the end of a task. The user model was further exploited to support learning related activities, such as prioritising feedback and grouping for collaboration. For feedback prioritisation, a mechanism based on Multi-criteria Decision Making was developed and tested with the help of educational experts. The grouping for collaboration approach was inspired from Group Technology, a method from cellular manufacturing systems, and its testing showed it produces meaningful groups. Both the feedback prioritisation and the grouping for collaboration mechanisms propose solutions that are particularly relevant for ELEs by considering pertinent criteria for this type of learning. To ensure optimal coverage of the knowledge base, the user modelling approach was enhanced with adaptive mechanisms for expanding the knowledge base, which was tested on real and simulated data. This approach ensures that learner diagnostic is possible when the initial knowledge base is small and/or new behaviours are encountered over time.
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Ennis, Mark. "Modelling the IR task : supporting the user." Thesis, City University London, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.287670.

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Ultes, Stefan [Verfasser]. "User-centred adaptive spoken dialogue modelling / Stefan Ultes." Ulm : Universität Ulm, 2015. http://d-nb.info/1122195621/34.

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Books on the topic "User modelling"

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Jones, K. Sparck. Realism about user modelling. Cambridge: University of Cambridge, Computer Laboratory, 1987.

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User modelling in text generation. London: Pinter Publishers, 1993.

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Kuflik, Tsvi, Shlomo Berkovsky, Francesca Carmagnola, Dominikus Heckmann, and Antonio Krüger, eds. Advances in Ubiquitous User Modelling. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-05039-8.

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Cook, Steven. Modelling generic user-interface with functional programs. London: Queen Mary College, Department of Computer Science and Statistics, 1987.

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Kuflik, Tsvi. Advances in ubiquitous user modelling: Revised selected papers. Berlin: Springer, 2009.

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Integrated graphic and computer modelling. London: Springer, 2008.

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Mooney, Gabrielle Joanne. Intelligent information retrieval from the world wide web using fuzzy user modelling. Leicester: De Montfort University, 1999.

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Jaume, Agustí, ed. Software blueprints: Lightweight uses of logic in conceptual modelling. Reading, MA: Addison-Wesley, 1999.

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Borsboom van Beurden, J. A. M. (Judith A. M.) and SpringerLink (Online service), eds. Land-Use Modelling in Planning Practice. Dordrecht: Springer Science+Business Media B.V., 2011.

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Ender, Konukoglu, Pop Mihaela, Rhode Kawal, Sermesant Maxime, Young Alistair, and SpringerLink (Online service), eds. Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges: Second International Workshop, STACOM 2011, Held in Conjunction with MICCAI 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.

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Book chapters on the topic "User modelling"

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Murphy, Maureen, and Michael McTear. "Learner Modelling for Intelligent CALL." In User Modeling, 301–12. Vienna: Springer Vienna, 1997. http://dx.doi.org/10.1007/978-3-7091-2670-7_31.

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Curzon, Paul, and Rimvydas Rukšėnas. "Modelling the User." In Human–Computer Interaction Series, 211–45. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51838-1_8.

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Shpitalni, M., and H. Lipson. "User Interfaces for Geometric Modeling." In Geometric Modelling, 98–113. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-0-387-35490-3_7.

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Bunt, Andrea. "User Modelling to Support User Customization." In User Modeling 2005, 499–501. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11527886_69.

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Bernsen, Niels Ole. "User Modelling in the Car." In User Modeling 2003, 378–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44963-9_52.

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Bull, Susan. "User Modelling and Mobile Learning." In User Modeling 2003, 383–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-44963-9_53.

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Carlsen, Niels Vejrup, and Niels Jørgen Christensen. "Modelling User Interface Software." In User Interface Management and Design, 87–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-76283-3_10.

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Strachan, Linda, John Anderson, Murray Sneesby, and Mark Evans. "Pragmatic User Modelling in a Commercial Software System." In User Modeling, 189–200. Vienna: Springer Vienna, 1997. http://dx.doi.org/10.1007/978-3-7091-2670-7_21.

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Smart, P. A., J. J. P. Ferreira, K. Kosanke, T. Schael, and M. Zelm. "Enterprise Modelling — User Semantics." In Enterprise Engineering and Integration, 123–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60889-6_15.

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Storey, David. "Modelling User Ability in Computer Games." In User Modeling 2005, 521–23. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11527886_76.

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Conference papers on the topic "User modelling"

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Brossard, Arnaud, Mourad Abed, Christophe Kolski, and Guillaume Uster. "User modelling." In the 6th International Conference. New York, New York, USA: ACM Press, 2009. http://dx.doi.org/10.1145/1710035.1710079.

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Iglesias, Jose A., Plamen Angelov, Agapito Ledezma, and Araceli Sanchis. "Modelling evolving user behaviours." In 2009 IEEE Workshop on Evolving and Self-Developing Intelligent Systems (ESDIS). IEEE, 2009. http://dx.doi.org/10.1109/esdis.2009.4938994.

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Xun Dong, John A. Clark, and Jeremy Jacob. "Modelling user-phishing interaction." In 2008 Conference on Human System Interactions (HSI). IEEE, 2008. http://dx.doi.org/10.1109/hsi.2008.4581513.

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Hammond, Nick, Phil Barnard, Joelle Coutaz, Michael Harrison, Allan MacLean, and Richard M. Young. "Modelling user, system design." In the SIGCHI conference. New York, New York, USA: ACM Press, 1991. http://dx.doi.org/10.1145/108844.108950.

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Schäfer, Hanna, Mehdi Elahi, David Elsweiler, Georg Groh, Morgan Harvey, Bernd Ludwig, Francesco Ricci, and Alan Said. "User Nutrition Modelling and Recommendation." In UMAP '17: 25th Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3099023.3099108.

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Mu, Xin, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, and Zhi-Hua Zhou. "User Identity Linkage by Latent User Space Modelling." In KDD '16: The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2939672.2939849.

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Lee, Seung-Ik, and Yun Kyung Park. "Modelling user situations with smartphones." In 2014 16th International Conference on Advanced Communication Technology (ICACT). Global IT Research Institute (GIRI), 2014. http://dx.doi.org/10.1109/icact.2014.6778946.

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Kass, R., and T. Finin. "A general user modelling facility." In the SIGCHI conference. New York, New York, USA: ACM Press, 1988. http://dx.doi.org/10.1145/57167.57191.

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Azzopardi, L., M. Girolami, and C. J. van Rijsbergen. "User biased document language modelling." In the 27th annual international conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/1008992.1009111.

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Adewoyin, Oluwande, Janet Wesson, and Dieter Vogts. "User Modelling to support Behavioural Modelling in Smart Environments." In 2022 3rd International Conference on Next Generation Computing Applications (NextComp). IEEE, 2022. http://dx.doi.org/10.1109/nextcomp55567.2022.9932209.

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Reports on the topic "User modelling"

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Baird, L., and M. G. Anderson. Flood Inundation Modelling Using Milhy. Volume 1. User Manual. Fort Belvoir, VA: Defense Technical Information Center, September 1990. http://dx.doi.org/10.21236/ada229413.

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Johannes, J., T. Bartel, D. Sears, and J. Payne. Gemini: A hybrid plasma modelling capability for low pressure systems. User`s manual - V.1.7. Office of Scientific and Technical Information (OSTI), October 1996. http://dx.doi.org/10.2172/399683.

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de Vries, Sander C. WFLOW_LINTUL: raster-based simulation of rice growth in the WFLOW/OpenStreams hydrological modelling platform : user manual and description of core model code. Wageningen: Wageningen Research (WR) business unit Agrosystems Research, 2018. http://dx.doi.org/10.18174/461276.

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Verburg, Peter H., Žiga Malek, Sean P. Goodwin, and Cecilia Zagaria. The Integrated Economic-Environmental Modeling (IEEM) Platform: IEEM Platform Technical Guides: User Guide for the IEEM-enhanced Land Use Land Cover Change Model Dyna-CLUE. Inter-American Development Bank, September 2021. http://dx.doi.org/10.18235/0003625.

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The Conversion of Land Use and its Effects modeling framework (CLUE) was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modeling of competition between land use types. Being one of the most widely used spatial land use models, CLUE has been applied all over the world on different scales. In this document, we demonstrate how the model can be used to develop a multi-regional application. This means, that instead of developing numerous individual models, the user only prepares one CLUE model application, which then allocates land use change across different regions. This facilitates integration with the Integrated Economic-Environmental Modeling (IEEM) Platform for subnational assessments and increases the efficiency of the IEEM and Ecosystem Services Modeling (IEEMESM) workflow. Multi-regional modelling is particularly useful in larger and diverse countries, where we can expect different spatial distributions in land use changes in different regions: regions of different levels of achieved socio-economic development, regions with different topographies (flat vs. mountainous), or different climatic regions (dry vs humid) within a same country. Accounting for such regional differences also facilitates developing ecosystem services models that consider region specific biophysical characteristics. This manual, and the data that is provided with it, demonstrates multi-regional land use change modeling using the country of Colombia as an example. The user will learn how to prepare the data for the model application, and how the multi-regional run differs from a single-region simulation.
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Holub, Oleksandr, Mykhailo Moiseienko, and Natalia Moiseienko. Fluid Flow Modelling in Houdini. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4128.

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The modern educational environment in the field of physics and information technology ensures the widespread use of visualization software for successful and deep memorization of material. There are many software for creating graphic objects for presentations and demonstrations, the most popular of which were analyzed. The work is devoted to the visualization of liquids with different viscosity parameters. The article describes the development of a fluid model in the form of a particle stream. The proposed methodology involves using the Houdini application to create interactive models. The developed model can be used in the educational process in the field of information technology.
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Ivansson, S. Tomographic modelling used for crosshole data analysis. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/123615.

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Carpio, G. Optimal use of source water protection modelling results. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2018. http://dx.doi.org/10.4095/306492.

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Born, George, and Patrick Weidman. Ocean Modelling and the Use of Altimetry Data. Fort Belvoir, VA: Defense Technical Information Center, February 1989. http://dx.doi.org/10.21236/ada206841.

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Masset, Edoardo. Combining economic modelling and randomised controlled trials: An unexploited synergyCombining economic modelling and randomised controlled trials: An unexploited synergy. Edited by Radhika Menon. Centre of Excellence for Development Impact and Learning (CEDIL), 2021. http://dx.doi.org/10.51744/cmb3.

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Over the last decade, many researchers have conducted randomised trials alongside economic models. The work of these researchers has shown that both approaches are strengthened by their combined use and the conclusions they lead to are full of policy implications. In the latest CEDIL Methods Brief, Edoardo Masset, Research Director, CEDIL Programme, uses three examples to offer tips on the application of modelling to evaluate development interventions and explore various policy questions. The brief shows that models and experiments should be seen as complementary, rather than as alternative approaches. This brief is based on the CEDIL Inception Paper No. 9, Structural Modelling in Policy Making, by Orazio Attanasio and Debbie Blair. This paper is available on the CEDIL website.
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Iatsyshyn, Andrii, Anna Iatsyshyn, Valeriia Kovach, Iryna Zinovieva, Volodymyr Artemchuk, Oleksandr Popov, Olha Cholyshkina, Oleksandr Radchenko, Oksana Radchenko, and Anastasiia Turevych. Application of Open and Specialized Geoinformation Systems for Computer Modelling Studying by Students and PhD Students. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4460.

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The article contains research on use of open and specialized geoinformation systems to prepare students and postgraduates on specialties: 101 “Environmental Sciences”, 103 “Earth Sciences”, 122 “Computer Sciences”, 183 “Environmental Technologies”. Analysis of the most common world open geoinformation systems is done. Experience of geoinformation systems use for students and postgraduates teaching for different specialties is described. Predominant orientation towards the use of geoinformation systems in educational process is determined based on the analysis of scientific publications and curricula of the most popular Ukrainian universities. According to the authors the material that is given narrows knowledge and skills of students and postgraduates, particularly in computer modeling. It is concluded that ability of students and postgraduates to use geoinformation systems is interdisciplinary. In particular, it develops knowledge and skills in computer modeling of various processes that may arise in the further professional activity. Examples of professional issues and ways to solve them using geoinformation systems are given. Recommendations are given on the use of open and specialized geoinformation systems in the educational process. It is recommended to use both proprietary (ArcGis, MapInfo) and open GIS (uDIG, QGIS, Whitebox GAT) to teach students. Open GIS (uDIG, QGIS, Whitebox GAT) and specialized (Modular GIS Environment, GEO + CAD, GeoniCS, AISEEM) can be used to teach both students and postgraduates.
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