Gotowe bibliografie tematyczne / Network modelling

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Gotowa bibliografia na temat „Network modelling”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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Artykuły w czasopismach na temat "Network modelling"

POLNOV, O., K. HORIASHCHENKO, and V. MISHAN. "MODERN NETWORK MODELLING SOFTWARE." Herald of Khmelnytskyi National University. Technical sciences 289, no. 5 (2020): 35–38. https://doi.org/10.31891/2307-5732-2020-289-5-35-38.

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Modern telecommunication network consist of large amount of components like servers, routers, switches, end-point computers. Fibre channels and usual gigabit lines used as a medium. Modern network can combine not only static elements but mobile components like mobile phones, ZigBee modules, Wi-Fi access points, Bluetooth. High speed equipment like satellites can be added to network structure too. So, selecting of correct equipment for network, estimating characteristics of such network can be hard task to be done in most cases. The analysis of modern programmatic facilities of design of work o

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Smirnov, Alexander, and Nikolay Shilov. "Business Network Modelling." International Journal of Information System Modeling and Design 1, no. 4 (2010): 77–91. http://dx.doi.org/10.4018/jismd.2010100104.

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Business networks have appeared as a reaction to changes taking place in the world economy and logistic networks can be considered as examples of such networks. The approach proposed in the paper is based on the idea to represent the business network members with services provided by them, and to achieve interoperability via application of the SOA standards. The approach is based on usage of such technologies as Web services, ontology, and context management. Web services enable interoperability at the technological level. Ontologies are used for description of knowledge domains and enable int

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Maciá-Pérez, Francisco, Iren Lorenzo-Fonseca, Jose Vicente Berná-Martinez, and Jose Manuel Sánchez-Bernabeu. "Conceptual Modelling of Complex Network Management Systems." Journal of Computers 10, no. 5 (2015): 309–20. http://dx.doi.org/10.17706/jcp.10.5.309-320.

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Pugacheva, E. "Social Network Modelling." Мiждисциплiнарнi дослiдження складних систем, no. 6 (2015): 49–62. http://dx.doi.org/10.31392/2307-4515/2015-6.2.

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Clark, J. W. "Neural network modelling." Physics in Medicine and Biology 36, no. 10 (1991): 1259–317. http://dx.doi.org/10.1088/0031-9155/36/10/001.

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Lambert, Jean, and Béatrice Stéphan. "Modelling network profiles." Computer Communications 18, no. 9 (1995): 600–608. http://dx.doi.org/10.1016/0140-3664(95)99803-k.

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Anderson, Taylor, and Suzana Dragićević. "Representing Complex Evolving Spatial Networks: Geographic Network Automata." ISPRS International Journal of Geo-Information 9, no. 4 (2020): 270. http://dx.doi.org/10.3390/ijgi9040270.

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Many real-world spatial systems can be conceptualized as networks. In these conceptualizations, nodes and links represent system components and their interactions, respectively. Traditional network analysis applies graph theory measures to static network datasets. However, recent interest lies in the representation and analysis of evolving networks. Existing network automata approaches simulate evolving network structures, but do not consider the representation of evolving networks embedded in geographic space nor integrating actual geospatial data. Therefore, the objective of this study is to

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Cebolledo Gutierrez, Edgar Omar, and Olga De Troyer. "Modelling Social Network Interactions in Games." Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment 11, no. 4 (2021): 82–88. http://dx.doi.org/10.1609/aiide.v11i4.12831.

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Social Networks, like Facebook, have become an important part of life for millions of people, with many people using them on a daily basis. While there are games that simulate life-to-life interactions, there are not as many that simulate social network interactions, and even fewer where social network interactions are an important part of the gameplay. Having models for the simulation of interactions on social networks is the first step needed to be able to create games where a social network is an important component of the gameplay. In this paper we present a model to create dy-namic and be

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Tumbas, Pere, Predrag Matkovic, and Marton Sakal. "Modelling cross-border regional network for innovative development." Perspectives of Innovations, Economics and Business 13, no. 3 (2013): 16–24. http://dx.doi.org/10.15208/pieb.2013.13.

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Prinz, Astrid A. "Computational approaches to neuronal network analysis." Philosophical Transactions of the Royal Society B: Biological Sciences 365, no. 1551 (2010): 2397–405. http://dx.doi.org/10.1098/rstb.2010.0029.

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Computational modelling is an approach to neuronal network analysis that can complement experimental approaches. Construction of useful neuron and network models is often complicated by a variety of factors and unknowns, most notably the considerable variability of cellular and synaptic properties and electrical activity characteristics found even in relatively ‘simple’ networks of identifiable neurons. This chapter discusses the consequences of biological variability for network modelling and analysis, describes a way to embrace variability through ensemble modelling and summarizes recent fin

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Rozprawy doktorskie na temat "Network modelling"

Gudmundsson, Gudmundur Stefan. "Essays in network modelling." Doctoral thesis, Universitat Pompeu Fabra, 2018. http://hdl.handle.net/10803/663096.

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This thesis consists of two chapters on time series modelling. The ﬁrst chapter introduces a class of vector autoregressive (VAR) models with a community structure for large panels of time series. In the model, the series are parti-tioned into latent groups such that spillovers are stronger within groups than between them. We then propose an algorithm that uses the eigenvectors of a function of the estimated autoregressive matrices to recover the communities. We study the properties of the procedure and establish its consistency. The algorithm motivates us to suggest a regularised VAR estimato

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Filion, Yves R. "Extended dynamic network modelling." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ58667.pdf.

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Roadknight, C. M. "Transparent neural network modelling." Thesis, Nottingham Trent University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.314107.

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Dalton, Sarah. "Modelling the Perinatal Network System." Thesis, University of Westminster, 2018. https://westminsterresearch.westminster.ac.uk/item/q559v/modelling-the-perinatal-network-system.

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The topic is that hospital capacity for patient beds runs short. We wish to predict when this will occur. An inter-disciplinary approach to this problem is taken incorporating a Management Science/Operational Research perspective. The subject is the Perinatal Network System, which is described, analysed and modelled. An illustrative Case Study is taken of an English local neonatal unit, where new-born babies are cared for. The focus is High dependency cots. Recommendations produced are subject to human factors and implementation difficulties. In this work, Systems Thinking facilitates an under

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Liu, Wei 1975. "Network traffic modelling and analysis." Thesis, McGill University, 2005. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=82613.

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In all-photonic networks, both transmission and switching is performed in the optical domain, without optoelectronic conversion for the data traversing the network. An accurate traffic model is critical in an agile all-photonic network (AAPN) which has the ability to dynamically allocate bandwidth to traffic flows as the demand varies.<br>This thesis focuses on traffic modelling and analysis. A novel traffic model is proposed which can capture the traffic behaviours in all-photonic networks. The new model is based on a study of existing traffic modelling literature. It combines the time

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Bergmann, Daniel. "Genetic network modelling and inference." Thesis, University of Nottingham, 2010. http://eprints.nottingham.ac.uk/11209/.

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Modelling and reconstruction of genetic regulatory networks has developed in a wide field of study in the past few decades, with the application of ever sophisticated techniques. This thesis looks at how models for genetic networks have been developed from simple Boolean representations to more complicated models that take into account the inherent stochasticity of the biological system they are modelling. Statistical techniques are used to help predict the interaction between genes from microarray data in order to recover genetic regulatory networks and provide likely candidates for interacti

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Zadik, Daniel. "Network modelling of canine metabolism." Thesis, University of Nottingham, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.546533.

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Attenborough, F. R. "The modelling of network polymers." Thesis, University of Liverpool, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.243243.

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This thesis considers the modelling of two and three dimensional molecular networks with a view to being able to predict how the geometry of a network will affect the elastic constants and specifically the Poisson's ratios of the network. Materials with negative Poisson's ratios have much better engineering properties then those with positive Poisson's ratios. Theory states that a network polymer, with negative Poisson's ratios at a molecular level, would have much better properties than most materials with negative Poisson's ratios made to date. Molecular modelling has been used to examine th

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Wang, Hao. "Performance modelling of network management schemes for mobile wireless networks." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/13192.

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Perera, Pannilage Supun Sachinthaka. "Topological Approach for Modelling the Structure, Dynamics and Robustness of Supply Chain Networks." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/20418.

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Traditionally simple and linear supply chains have, in recent years, evolved towards highly complex networked systems, due to globalisation and product specialisation. Recent application of network models to supply chain systems have revealed the existence of non-trivial and universal topological footprints, which provide important system level insights. This thesis uses topological network models to investigate the structure, dynamics and robustness of supply chain networks (SCNs). Firstly, the common topological characteristics of real-world SCNs are identified, by considering both undirect

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Książki na temat "Network modelling"

Shanmuganathan, Subana, and Sandhya Samarasinghe, eds. Artificial Neural Network Modelling. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-28495-8.

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S, Mohan. Artificial neural network modelling. Indian National Committee on Hydrology, 2007.

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Filion, Yves R. Extended dynamic network modelling. National Library of Canada, 2001.

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van As, Harmen R., and Admela Jukan, eds. Optical Network Design and Modelling. Springer US, 1998. http://dx.doi.org/10.1007/978-0-387-35361-6.

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Casson, Mark. Modelling inter-firm networks. University of Reading, 1993.

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Casson, Mark. Modelling inter-firm networks. University of Reading, Dept. of Economics, 1993.

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Bianco, Andrea, and Fabio Neri, eds. Next Generation Optical Network Design and Modelling. Springer US, 2003. http://dx.doi.org/10.1007/978-0-387-35670-9.

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Brydon, D. A. Neural network modelling of a binary distillation column. UMIST, 1994.

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Nuzzolo, Agostino. Transit network modelling: The schedule- based dynamic approach. F. Angeli, 2003.

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Eiichi, Taniguchi, ed. City logistics: Network modelling and intelligent transport systems. Pergamon, 2001.

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Części książek na temat "Network modelling"

Poler, Raúl, Josefa Mula, and Manuel Díaz-Madroñero. "Network Modelling." In Operations Research Problems. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5577-5_4.

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Savić, Dragan A., Rob Casey, and Zoran Kapelan. "Network Modelling." In Water Supply and Distribution Systems, Second edition. Emerald Publishing Limited, 2024. http://dx.doi.org/10.1680/978-1-83549-846-020242009.

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Poler, Raul, Josefa Mula, Manuel Díaz-Madroñero, and Raquel Sanchis. "Network Modelling." In Operations Research Problems. Springer London, 2025. https://doi.org/10.1007/978-1-4471-7546-9_4.

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Belkhode, Pramod, Prashant Maheshwary, Kanchan Borkar, and J. P. Modak. "Artificial Neural Network Simulation." In Mathematical Modelling. CRC Press, 2023. http://dx.doi.org/10.1201/9781003318699-6.

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Muth, Thomas. "Logical Network Modelling." In Modeling Telecom Networks and Systems Architecture. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56845-9_3.

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Muth, Thomas. "Physical Network Modelling." In Modeling Telecom Networks and Systems Architecture. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56845-9_4.

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Muth, Thomas. "Protocol Network Modelling." In Modeling Telecom Networks and Systems Architecture. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56845-9_5.

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Selvalingam, S., S. L. Ong, and S. Y. Liong. "Irrigation Network Modelling." In Engineering Software IV. Springer Berlin Heidelberg, 1985. http://dx.doi.org/10.1007/978-3-662-21877-8_55.

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Michalski, Radosław, Sebastian Palus, Piotr Bródka, Przemysław Kazienko, and Krzysztof Juszczyszyn. "Modelling Social Network Evolution." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24704-0_30.

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Cieśla, Maria, Jerzy Margielewicz, and Damian Gąska. "Intermodal Terminals Network Modelling." In Modelling of the Interaction of the Different Vehicles and Various Transport Modes. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11512-8_5.

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Streszczenia konferencji na temat "Network modelling"

Marinov, Petar. "Mathematical Approach to Social Network Modelling." In 2024 32nd National Conference with International Participation (TELECOM). IEEE, 2024. https://doi.org/10.1109/telecom63374.2024.10812250.

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Rock, Alan, Xiaoshu Xu, and Jerald E. Jones. "Typical Neural Network Applications in Signal Processing and Process Modelling." In CORROSION 1992. NACE International, 1992. https://doi.org/10.5006/c1992-92265.

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Abstract Artificial neural systems (ANS), also known as neural networks, are an attempt to develop computer systems that emulate the neural reasoning behavior of biological neural systems (e.g. the human brain). As such, they are loosely based on biological neural networks. The ANS consists of a series of nodes (neurons) and weighted connections (axons) that, when presented with a specific input pattern, can associate specific output patterns. It is essentially a highly complex, non-linear, mathematical relationship or transform. These constructs have two significant properties that have prove

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Guan, Shan, Brett M. Tossey, and Francois Ayello. "Assessing Pipe Integrity Using Wireless Sensor Networks and Bayesian Network Modelling." In CORROSION 2019. NACE International, 2019. https://doi.org/10.5006/c2019-13036.

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Abstract The power generation industry is seeking solutions to prevent failures in high energy piping systems including main steam and hot reheat steam pipelines. A thorough review of prior failures in these systems has shown that 60-70% of all failures can be attributed to hanger and strain monitoring systems not performing within specification for extended periods of times (typically 1-5 years). The typical failure mode has been creep in seam welds. The consequence of failure for high energy piping can be severe and the effect of unexpected or unknown displacements cannot be quantified when

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Majovská, Renata, and Petr Fiala. "MODELLING OF SUPPLY NETWORK DESIGN." In The 19th International Conference on Modelling and Applied Simulation. CAL-TEK srl, 2019. http://dx.doi.org/10.46354/i3m.2019.mas.004.

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The paper is dedicated to proposed modelling approach for supply networks. The original structure of network systems can be modelled as complex adaptive systems and use agent-oriented simulation to demonstrate origin. The structure is clarified by expert opinion with use of DEMATEL method. The suitability of supply networks can be measured by multiple objectives, such as economic, environmental, social, and others. Traditional concepts of optimality focus on valuation of already given systems. We propose to use a methodology for optimal system design. As a methodology of optimal system design

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Medoh, C., and A. Telukdarie. "Modelling Water Network Behaviors: Agent-based Modelling." In 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2021. http://dx.doi.org/10.1109/ieem50564.2021.9672976.

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Alabbasi, Yahia, Khaled Aboelenen, and Mohammed Sadeq. "New Technique for Flood Risk Assessment of Sub-Networks in Large Networks Using InfoWorks ICM: A Case Study of Qatar's Full Storm Water Network." In The 2nd International Conference on Civil Infrastructure and Construction. Qatar University Press, 2023. http://dx.doi.org/10.29117/cic.2023.0189.

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The elements of the storm water network are made to safely drain most water during a heavy rainstorm. Flood risk modelling (mathematical modelling) with hydraulic software is a good way to check the network's level of service, especially now that technology has changed. Flood risk modelling is an essential method for checking the network sufficiency and adequacy for different kinds of rain. Modelling flood risk should be done for the whole network to ensure that flows are connected and get accurate results. In this study, one-dimensional flood risk modelling is needed for a sub-network that is

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Syed, Mansoor, Peter Pong, and Bob Hutchinson. "Battlespace communications network-of-networks interface modelling." In 2017 Annual IEEE International Systems Conference (SysCon). IEEE, 2017. http://dx.doi.org/10.1109/syscon.2017.7934706.

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Morovati, Vahid, Mohammad Ali Saadat, and Roozbeh Dargazany. "Modelling Stress Softening and Necking Phenomena in Double Network Hydrogels." In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-12253.

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Abstract Double network (DN) gels are three-dimensional polymer matrices formed by interpenetrating networks. In contrast to the conventional single-network gels, DN gels have significant toughness, which makes them a promising material for different biomedical and biological applications. However, DN gels show complicated inelastic behavior including the Mullins effect and necking instability. Despite extensive efforts on modelling different aspects of the damage process in gels, the micro-mechanical modelling of the mechanisms that lead to necking in DN gels remains to be a challenging task.

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Shi, Zhanqun, Yibo Fan, Fengshou Gu, Abdul-Hannan Ali, and Andrew Ball. "Neural Network Modelling Applied for Model-Based Fault Detection." In ASME 7th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2004. http://dx.doi.org/10.1115/esda2004-58197.

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This paper aims to combine neural network modelling with model-based fault detection. An accurate and robust model is critical in model-based fault detection. However, the development of such a model is the most difficult task especially when a non-linear system is involved. The problem comes not only from the lack of concerned information about model parameters, but also from the inevitable linearization. In order to solve this problem, neural networks are introduced in this paper. Instead of using conventional neural network modelling, the neural network is only used to approximate the non-l

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Färber, Johannes. "Network game traffic modelling." In the 1st workshop. ACM Press, 2002. http://dx.doi.org/10.1145/566500.566508.

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Raporty organizacyjne na temat "Network modelling"

McCormick, Benjamin, Licida Giuliani, Nick Roxburgh, Gary Polhill, and Jennifer Macdiarmid. Large Scale Modelling: Farm Activities in Scotland. University of Aberdeen, 2024. http://dx.doi.org/10.57064/2164/24532.

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We describe Scottish farming as a network of resources and farm enterprises. Resources move between enterprises as inputs and outputs. The network of farming activities was taken from the SRUC Farm Management Handbook. The network is fragile to the removal of resources, but some resources, such a labour and land, are more important as they are shared between more enterprises. The farming system constrains changes between enterprise. Changing from one business enterprise to another is likely to be easier the more shared resources there are between them.

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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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McCormick, Benjamin JJ, Licida M. Giuliani, Nick Roxburgh, Jennie I. Macdiarmid, and Gary Polhill. Large Scale Modelling: The Rippling Effects of Interrupted Imports on Scottish Farming. University of Aberdeen, 2025. https://doi.org/10.57064/2164/25318.

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Key Points: Veterinary medicines, crop protection products, and synthetic fertilisers are all almost wholly reliant on imports. We have found that interruption to the supply of these products would have negative rippling effects across the whole farming system. We describe farming activities as a network connected by resources needed to do them using the SAC Farm Management Handbook (2024). Creating a network allows us to see how interconnected farm activities are, and how sensitive they are to changes in the availability of resources.

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Kompaniets, Alla, Hanna Chemerys, and Iryna Krasheninnik. Using 3D modelling in design training simulator with augmented reality. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3740.

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The article is devoted to the theoretical consideration of the problem and the use of innovative technologies in the educational process in the educational establishment of secondary education in the process of studying the school course of computer science. The main advantages of using educational simulators in the educational process are considered, based on the new state standard of basic and complete general secondary education. Based on the analysis of scientific and methodological literature and network sources, the features of the development of simulators for educational purposes are d

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Alberts, Erik. 3D Geologic Framework Modelling of the Los Alamos National Laboratory Site and Pajarito Plateau: Integrating a realistic 3D fault network and modelling subsurface relationships in a sparsely sampled and complex geologic region. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2472554.

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Millis, Andrew. Many Body Methods from Chemistry to Physics: Novel Computational Techniques for Materials-Specific Modelling: A Computational Materials Science and Chemistry Network. Office of Scientific and Technical Information (OSTI), 2016. http://dx.doi.org/10.2172/1332662.

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Porter, Joanne, Val Prokopiv, Michelle Prezioso, et al. Latrobe Valley Authority Career Pathways project report 2022. Federation University, 2024. http://dx.doi.org/10.35843/lvacppr22.

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Commissioned by the Latrobe Valley Authority (LVA), Swinburne University produced ‘Modelling Gippsland’s Future Health and Community Service Workforce: Summary Report’ in 20191. This analysis of the healthcare and social assistance sector workforce was part of the development of a smart specialisation strategy to promote economic and social development of the Gippsland region in Victoria. The analysis provided an understanding of the effect of the growth of the sector on the local labour market, identified key trends and provided a framework for action to 2036. One of the key recommendations f

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Gurieiev, Viktor, Yulii Kutsan, Anna Iatsyshyn, et al. Simulating Systems for Advanced Training and Professional Development of Energy Specialists in Power Sector. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4456.

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The crisis of the system of professional development and personnel training in the energy sector exists not only in Ukraine but also all over the world. The article describes the concept of development and functioning of the industry system of personnel training in the energy sector of Ukraine. The importance of using modern web-oriented technologies to improve the skills of operational and dispatching personnel in the energy sector of Ukraine is substantiated. The meth- ods of distributed power system operating modes modelling are presented. De- velopment and software tools for the constructi

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O'Brien, Beth A., Chee Soon Tan, and Luca Onnis. Technology-based tools for teaching early literacy skills. National Institute of Education, Nanyang Technological University, Singapore, 2024. https://doi.org/10.32658/10497/27453.

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This project focuses on improving literacy development for young learners who are struggling with learning to read English by investigating the process of learning grapheme-phoneme correspondences (GPCs). Learning GPC is foundational to learning to read alphabetic languages, and is a core problem for struggling readers. In this project, two methods are used in two studies to understand the process of learning English GPCs as the crux of acquiring literacy. First, a machine learning neural network modelling approach is used to study the effect of sound-symbol grain size and consistency and trai

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Tapia, Carlos, Ana de Jesus, and Nora Sánchez Gassen. Integrating climate in macroeconomic modelling: A Nordic Perspective. Nordregio, 2023. http://dx.doi.org/10.6027/pb2023:3.2001-3876.

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This Policy Brief summarises key messages from a webinar series hosted by the Integrating climate in macroeconomic modelling (ICMM) project during the second half of 2022 and the first half of 2023. In the wake of recent climate policy discussions at the EU, Nordic and national levels, the webinars were meant to promote the advancement of expert and policy-planning knowledge and at the creation of networks among model developers and model users from different Nordic countries. The main goal of this project is to foster discussions regarding modelling approaches and to identify future Nordic an

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