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Relevant bibliographies by topics / Research Model Systems

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Academic literature on the topic 'Research Model Systems'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

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Journal articles on the topic "Research Model Systems"

1

Malinski, Violet M. "Nursing Research and Nursing Conceptual Models: Betty Neuman's Systems Model." Nursing Science Quarterly 16, no. 3 (2003): 201. http://dx.doi.org/10.1177/0894318403016003004.

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Collins, T. F. "Teratological research using in vitro systems. V. Nonmammalian model systems." Environmental Health Perspectives 72 (June 1987): 237–49. http://dx.doi.org/10.1289/ehp.8772237.

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Moe, Sverre, and Jari Kaivo-oja. "Model theory and observing systems. Notes on the use of models in systems research." Kybernetes 47, no. 9 (2018): 1690–703. http://dx.doi.org/10.1108/k-01-2018-0026.

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Purpose The purpose of the paper is to present three different contributions to a general model theory which the authors think as relevant to systems research based on systems theory, cybernetics and constructivism. This also implies that the three contributions are shown to be of use both in the study of systems that operate by models, as well as in the practice of designing models. Design/methodology/approach The text is conceptual and mainly of a descriptive and referring character. Besides the sections on the three contributions to a model theory, the authors have inserted sections that re

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Habibi, Majid, and Alireza B. Novinzadeh. "Research Note." International Journal of Intelligent Mechatronics and Robotics 1, no. 2 (2011): 52–61. http://dx.doi.org/10.4018/ijimr.2011040105.

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Bond graphs are suitable tools for modeling many types of dynamical systems and can model these systems consisting of mechanical, electrical, fluidic, and pneumatic sub-systems. The advantage of a bond graph is that it can model non-linear systems and combinational systems. In this paper, the authors utilize bond graphs for modeling mechatronics systems. Mechatronics systems consist of mechanics, electronics, and intelligent software. Many of these systems have digital sections that are constructed by logical circuits (hardware by transistors and now mostly by chips). The authors present a met

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Liu, Chenxi, and Suchun Yang. "Research on Agent-based Economic Decision Model Systems." Intelligent Automation & Soft Computing 26, no. 5 (2020): 1035–46. http://dx.doi.org/10.32604/iasc.2020.010135.

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A. Bunimovich, Leonid. "Dynamical systems and operations research: A basic model." Discrete & Continuous Dynamical Systems - B 1, no. 2 (2001): 209–18. http://dx.doi.org/10.3934/dcdsb.2001.1.209.

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Cai, Su Jin. "Research of Data Exchange Model among Information Systems." Applied Mechanics and Materials 608-609 (October 2014): 401–7. http://dx.doi.org/10.4028/www.scientific.net/amm.608-609.401.

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Data exchange can make different information systems of enterprises realize data interaction. The objective establishing it is to keep information sharing and synchronization in enterprises, which can effectively use resources, improve the performance of the system and speeds up information circulation. Data exchange model is the core of realizing data exchange and it has a set of completed data storage and access mechanism. The paper verifies the mapping of relational schema and XML schema, the conversion of database and XML data, and XML document schema, and the paper constructs XSLT documen

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Lu, Huan, Lingwei Ma, Yan Zhang, Yanzhi Feng, Jinjin Zhang, and Shixuan Wang. "Current Animal Model Systems for Ovarian Aging Research." Aging and disease 13, no. 4 (2022): 1183. http://dx.doi.org/10.14336/ad.2021.1209.

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Makedonskiy, Sergey, and Ekaterina Sukharevskaya. "The Formal Model of Research on Authentication Systems." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 10. Innovatcionnaia deiatel’nost’, no. 3 (October 2018): 18–22. http://dx.doi.org/10.15688/jvolsu10.2017.3.3.

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Шкарупета, Е. В., and А. В. Мосиенко. "RESEARCH MODEL OF DIGITAL TRANSFORMATION OF INDUSTRIAL SYSTEMS." Organizer of Production, no. 4 (February 9, 2022): 7–14. http://dx.doi.org/10.36622/vstu.2021.63.79.001.

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Введение. Цифровая трансформация и вызванные ею инновации бизнес-моделей коренным образом изменили функционирование и развитие промышленных систем, оказали огромное давление на традиционные фирмы и нарушили работу многочисленных рынков. В настоящее время на основе анализа современной литературы возможно выделить три стадии цифровой трансформации промышленных систем: оцифровка, цифровизация и непосредственно цифровая трансформация. Цифровая трансформация требует специфических организационных структур и имеет последствия для ключевых показателей эффективности. Вопросы цифровой трансформации пром

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Dissertations / Theses on the topic "Research Model Systems"

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Chowdhary, Rubinah K. "Photosensitised oxidation in cells and model systems." Thesis, University of Salford, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304602.

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Horton, Kirk Gerritt. "FAULT DETECTION AND MODEL IDENTIFICATION IN LINEAR DYNAMICAL SYSTEMS." NCSU, 2001. http://www.lib.ncsu.edu/theses/available/etd-20010403-112605.

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<p>Horton, Kirk Gerritt. Fault Detection and Model Identification in Linear Dynamical Systems. (Under the direction of Dr. Stephen La Vern Campbell.) Linear dynamical systems, Ex'+Fx=f(t), in which E is singular, are useful in a wide variety of applications. Because of this wide spread applicability, much research has been done recently to develop theory for the design of linear dynamical systems. A key aspect of system design is fault detection and isolation (FDI). One avenue of FDI is via the multi-model approach, in which the parameters of the nominal, unfailed model of the system are known

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Saewert, Karen Joyce. "Testing a systems research organizing model for behavioral health." Diss., The University of Arizona, 2003. http://hdl.handle.net/10150/280446.

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The purpose of this multifaceted research project was to explain and predict mental health outcomes through testing of a systems research organizing model using pre-existing behavioral health consumer-oriented data. Community Partnership of Southern Arizona provided the setting for the participation of its members in the statewide 2001 Mental Health Statistics Improvement Program Consumer Perception Survey. The sample for this study consisted of 214 adult member survey respondents. The Systems Research Organizing Model for Behavioral Health (SROM-BH) provided the conceptual framework for exami

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Fu, Mo. "An analytic model for agent systems with Petri nets." Diss., The University of Arizona, 2003. http://hdl.handle.net/10150/289933.

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The agent system specification, the agent system implementation and the agent system verification are three essential issues to build an agent system. Many works have been done for the first two issues in recent years. However, as a result of a lack in formal agent modeling techniques, little effort has been made to address the verification issue, which impedes the agent technique a smooth transition from the research lab to the desk of everyday computer engineers. Motivated by this fact and its significance, it is our objective in this dissertation to establish a systematic method for modelin

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Erdogan, Ezgi. "A Complex Dynamical Systems Model Of Education, Research, Employment, And Sustainable Human Development." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/3/12612138/index.pdf.

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Economic events of this era reflect the fact that the value of information and technology has surpassed the value of physical production. This motivates countries to focus on increasing the education levels of citizens. However, policy making about education system and its returns requires dynamical analyses in order to be sustainable. The study aims to investigate the dynamic characteristics of a country-wide education system, in particular, that of Turkey. System Dynamics modeling, which is one of the most commonly referred tools for understanding the complex social structures, is used. Our

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Esmaeilzadeh, Ehsan. "An Agent-Based Model for Improved System of Systems Decision Making in Air Transportation." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10981799.

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<p> Team collaboration and decision making have a significant role in the overall performance of complex System of Systems (SoS). Inefficient decisions can result in significant extra cost and reduction in the overall team performance within the organizations. Therefore, the early and effective evaluation of the individual and collaborative team decisions are essential. The degree of utility of alternative strategy designs may vary given the condition, but these conditions are not always considered when the decisions are being made. Improved Systems Engineering (SE) processes and tools are nee

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Kurskoy, Yu S., O. S. Hnatenko, Yu P. Machekhin, and M. V. Neofitnyy. "Topological Model of Laser Emission Parameters Research." Thesis, CAOL, 2019. http://openarchive.nure.ua/handle/document/15100.

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The research paper presents a model for studying both the parameters and dynamics of laser light as a nonlinear dynamic system. The model provides for the measurement of the values of physical quantities by non-linear metrology methods and the analysis of the research findings with topological tools. The model is based on the assumption of interval values of the measured values and the possibility of changing the stationary dynamics into the random one. The model contains an experiment scheme and a procedure for evaluating measurement results. The peculiarity of the model lies in its systemic

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Hessel, Anders. "Model-based test case selection and generation for real-time systems." Licentiate thesis, Uppsala : Univ. : Division of Computer Systems, Department of Information Technology, Uppsala University, 2006. http://www.it.uu.se/research/publications/lic/2006-002/2006-002.pdf.

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Watkins, Johannes Andria. "A structured systems approach to model conceptualisation an executive management perspective /." Pretoria : [s.n.], 2000. http://upetd.up.ac.za/thesis/available/etd-07212006-120145/.

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Williams, Brandon. "Towards a model for IS research methodology selection : the effect of epistemology choice on a consolidated research evaluation tool." Master's thesis, University of Cape Town, 2006. http://hdl.handle.net/11427/5648.

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Word processed copy.<br>Includes bibliographical references (leaves 106-112).<br>Information Systems research is, for want of a better word, inadequate. Whilst there is nothing wrong with the quantity of the output or the abilities of the researchers themselves, the irrelevance (to practitioners) of much of the research has rendered if largely incapable of serving and supporting the Information Systems industry, a task that should be considered its primary objective. This dissertation aims to partially address this issue by analysing the role that methodology and epistemology has to play in th

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Books on the topic "Research Model Systems"

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M, Neuman Betty, and Fawcett Jacqueline, eds. The Newman systems model. 4th ed. Prentice Hall, 2002.

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M, Gray-Ice Helen, and Prentice Florence R, eds. Family functioning: The general living systems research model. Kluwer Academic/Plenum Publishers, 2000.

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United States. National Aeronautics and Space Administration., ed. Space shuttle main engine plume plowfield model: Final report : research study. Remtech Inc., 1988.

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I, Selverston Allen, and Moulins Maurice, eds. The Crustacean stomatogastric system: A model for the study of central nervous systems. Springer-Verlag, 1987.

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Bessis, Nikolaos G. A soft systems methodology based theoretical model for the commmunication of design research. De Montfort University, 2002.

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Pray, Carl. The Asian Maize Biotechnology Network (AMBIONET): A model for strengthening national agricultural research systems. CIMMYT, 2006.

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Sylvia, Nagl, ed. The role of model integration in complex systems modelling: An example from cancer biology. Springer, 2010.

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Comeau, P. G. LITE: A model for estimating light under broadleaf and conifer tree canopies. British Columbia Ministry of Forests Research Program, 1998.

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F, Carter John. A model for Space Shuttle orbiter tire side forces based on NASA Landing Systems Research Aircraft test results. National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Program, 1997.

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G, Baskaran, ed. Strongly correlated electron systems III: Proceedings of the Adriatico research conference and miniworkshop, ICTP Trieste, Italy, 8 July-2 August, 1991. World Scientific, 1992.

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Book chapters on the topic "Research Model Systems"

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Tonn, J. C. "Model Systems in Neurooncology." In Research and Publishing in Neurosurgery. Springer Vienna, 2002. http://dx.doi.org/10.1007/978-3-7091-6743-4_13.

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Breitenbach, Michael, Frank Madeo, Peter Laun, et al. "Yeast as a model for ageing and apoptosis research." In Model Systems in Aging. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-37005-5_4.

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Wan, Qin, Yong Wei, and Xiongqiong Yang. "Research on Grey Wave Forecasting Model." In Understanding Complex Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13938-3_30.

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Hallmann, Corinna, and Stefan Kuhlemann. "Model Generator for Water Distribution Systems." In Operations Research Proceedings. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-89920-6_34.

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Chmielewski, Adrian, Piotr Piórkowski, Robert Gumiński, Krzysztof Bogdziński, and Jakub Możaryn. "Model-Based Research on Ultracapacitors." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77179-3_24.

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Iyamu, Tiko. "Technology acceptance model." In Applying Theories for Information Systems Research. Routledge, 2021. http://dx.doi.org/10.4324/9781003184119-9.

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Leitner, Stephan. "Research Design and Model Formalization." In Lecture Notes in Economics and Mathematical Systems. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33209-8_4.

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Huy, Nguyen Quang, Le Phuoc Thanh, and Doan Van Thang. "Research Arima Model Forecasts Student’s Graduation Rate." In Algorithms for Intelligent Systems. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-8976-8_32.

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Li, Mengmeng, and Yong Zhao. "Research on Multistage Interconnection Architecture and Collision Detection Model." In Trusted Systems. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14597-1_9.

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Sankari, Abhilasha, Shraddha Masih, and Maya Ingle. "Hybrid Approach to Recommender System Model." In Advances in Intelligent Systems Research. Atlantis Press International BV, 2025. https://doi.org/10.2991/978-94-6463-716-8_28.

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Conference papers on the topic "Research Model Systems"

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Yang, Kailong, Ling Li, Yong Wang, and Qing Liu. "Research on the Application of Smoke Device Multi-Mode Configuration Model." In 2024 4th International Conference on Machine Learning and Intelligent Systems Engineering (MLISE). IEEE, 2024. http://dx.doi.org/10.1109/mlise62164.2024.10674359.

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Qin, Hao, and Xingqi Zhang. "Parabolic Equation-based Channel Model for RIS-aided Train Communication Systems." In 2024 Photonics & Electromagnetics Research Symposium (PIERS). IEEE, 2024. http://dx.doi.org/10.1109/piers62282.2024.10618129.

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Jia, Xianglong, Hongli Zhao, Weiman Sun, and Bin Zhao. "Thermoelectric Model Research Based on Gravity Heat Pipe." In 2024 4th International Conference on Energy Engineering and Power Systems (EEPS). IEEE, 2024. https://doi.org/10.1109/eeps63402.2024.10804311.

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Bonar, John, and John Hastings. "Transforming Information Systems Management: A Reference Model for Digital Engineering Integration." In 2024 Cyber Awareness and Research Symposium (CARS). IEEE, 2024. https://doi.org/10.1109/cars61786.2024.10778791.

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Kesper, Arno, Viola Wenz, and Gabriele Taentzer. "Detecting quality problems in research data." In MODELS '20: ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems. ACM, 2020. http://dx.doi.org/10.1145/3365438.3410987.

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Damasceno, Carlos Diego Nascimento, and Daniel Struber. "Quality Guidelines for Research Artifacts in Model-Driven Engineering." In 2021 ACM/IEEE 24th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2021. http://dx.doi.org/10.1109/models50736.2021.00036.

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Störrle, Harald. "Engaging End-User-Modelers: An Action Research Study." In MODELS Companion '24: ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems. ACM, 2024. http://dx.doi.org/10.1145/3652620.3688555.

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Perbangsa, Anzaludin Samsinga, Joni Suhartono, Hery Harjono Muljo, and Bens Pardamean. "Research grants management information systems model." In 2016 International Conference on Information Management and Technology (ICIMTech). IEEE, 2016. http://dx.doi.org/10.1109/icimtech.2016.7930338.

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Abia, Mike, and Irwin Brown. "A Polymorphic Model of Information Systems Success." In the 2015 Annual Research Conference. ACM Press, 2015. http://dx.doi.org/10.1145/2815782.2815814.

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Hallak, Yara, Dominique Blouin, Laurent Pautet, Layale Saab, Baptiste Laborie, and Rakshit Mittal. "Model Management at Renault Virtual Simulation Team: State of Practice, Challenges and Research Directions." In MODELS Companion '24: ACM/IEEE 27th International Conference on Model Driven Engineering Languages and Systems. ACM, 2024. http://dx.doi.org/10.1145/3652620.3688223.

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Reports on the topic "Research Model Systems"

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Cloutier, Robert. Communications Effects Server (CES) Model for Systems Engineering Research. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada582066.

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Luparenko, Liliia. The Use of Electronic Open Journal Systems in Scientific and Pedagogic Research: Results of Experiment. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4465.

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The article deals with the problem of the use of electronic open journal systems in scientific and pedagogical research as well as the formation of ICT competence of researchers on the use of such systems. The concepts of electronic journal system (EJS) are considered. The most common kinds of electronic journal systems are revealed (proprietary, local (in-house), open and cloud journal systems). The criteria for accessing the effectiveness of the electronic open journal systems (EOJS) use in scientific and pedagogical research are described (normative, organizational and communication, effect

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Olsen and Willson. L51916 Pressure Based Parametric Emission Monitoring Systems (PEMS). Pipeline Research Council International, Inc. (PRCI), 2002. http://dx.doi.org/10.55274/r0010181.

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The natural gas industry operates over 8000 stationary large bore (bore greater than 14 in) natural gas engines for natural gas compression on pipelines and power generation. As emissions regulations become increasingly more stringent, the need for low cost methods for compliance demonstration arises. A PEMS model is one such approach. Research in this area has increased significantly during the last decade. PEMS models for this application utilize parameters commonly measured on industrial engines in the field to predict engine-out emissions. Monitoring emissions in this manner represents a s

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Pasupuleti, Murali Krishna. Decision Theory and Model-Based AI: Probabilistic Learning, Inference, and Explainability. National Education Services, 2025. https://doi.org/10.62311/nesx/rriv525.

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Abstract Decision theory and model-based AI provide the foundation for probabilistic learning, optimal inference, and explainable decision-making, enabling AI systems to reason under uncertainty, optimize long-term outcomes, and provide interpretable predictions. This research explores Bayesian inference, probabilistic graphical models, reinforcement learning (RL), and causal inference, analyzing their role in AI-driven decision systems across various domains, including healthcare, finance, robotics, and autonomous systems. The study contrasts model-based and model-free approaches in decision-

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Hertz, Jana C., Derick W. Brinkerhoff, Robin Bush, and Petrarca Karetji. Knowledge Systems: Evidence to Policy Concepts in Practice. RTI Press, 2020. http://dx.doi.org/10.3768/rtipress.2020.pb.0024.2006.

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This policy brief reviews the evolution of knowledge-to-policy studies and the emergence of systems perspectives. We explore the less well understood issue of how to grow and reinforce knowledge systems in settings where they are weak and underdeveloped. We offer a knowledge systems model that encapsulates current thinking and present an example of an effort to strengthen a knowledge system, drawn from a project managed by RTI in Indonesia. We conclude with some recommendations for strengthening knowledge systems including promoting debate among a diversity of voices within the knowledge syste

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Shapovalov, Yevhenii B., Viktor B. Shapovalov, Roman A. Tarasenko, Stanislav A. Usenko, and Adrian Paschke. A semantic structuring of educational research using ontologies. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4433.

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This article is devoted to the presentation of the semantic interoperability of research and scientific results through an ontological taxonomy. To achieve this, the principles of systematization and structuration of the scientific/research results in scientometrics databases have been analysed. We use the existing cognitive IT platform Polyhedron and extend it with an ontology-based information model as main contribution. As a proof-of-concept we have modelled two ontological graphs, “Development of a rational way for utilization of methane tank waste at LLC Vasylkivska poultry farm” and “Dev

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Vickers, David, and Heath Spidle. PR-015-203900-R01 Reliability Detection and Accuracy of CPM Detection Systems Using Machine Learning. Pipeline Research Council International, Inc. (PRCI), 2022. http://dx.doi.org/10.55274/r0012211.

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This report documents the result of research conducted by Southwest Research Institute (SwRI�) for the Pipeline Research Council International (PRCI) into the development of a Machine Learning (ML) model for improving the detection of leaks in liquid-carrying pipelines. Operators were surveyed as to their use of CPM systems for leak detection. Several operators provided data to support the research. The data was collected, curated, and analyzed by SwRI. Several ML models were investigated. A framework was developed to allow operators to use their own data to generate ML models for their pipeli

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Baete, Christophe, and Keith Parker. PR405-213601-R04 Validation of Digital Twins for Monitoring, Optimization, and Compliance of CP Systems. Pipeline Research Council International, Inc. (PRCI), 2023. http://dx.doi.org/10.55274/r0012254.

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The digital twin used in this research is a mechanistic (or deterministic) computer model that represents the cathodic protection behavior of a pipeline network. The model is calibrated based on field data such that it mimics the real-world behavior of the pipeline. The objective of this research is to validate the accuracy of the digital twin model on three industry cases. First, the sensitivity of the independent variables (soil, coating and cathodic protection properties) that are the inputs of the digital twin was investigated during a literature study, a lab and field-based modeling on a

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Kennedy, Meaghan, Michaela Bonnett, and Teri Garstka. A Model for Technology-Enabled Community Resilience. Orange Sparkle Ball, 2024. http://dx.doi.org/10.61152/plcr9111.

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Introduction Tech-Enabled Community Resilience is an innovative model designed to enhance resilience and optimize impact in complex systems such as communities and ecosystems. The model leverages social network analysis and technology to visualize network dynamics, measure interactions, and implement targeted interventions. Model Structure The approach consists of two key stages: a Startup Phase focused on assembling champions and co-creating a shared vision, and a Steady-state Phase involving iterative measurement and intervention. By utilizing technology platforms for data collection and vis

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Ricca, Bernard. Introduction to Nonlinear Dynamical Systems and Analysis. Instats Inc., 2024. http://dx.doi.org/10.61700/j16tr1vnie1lu1801.

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This seminar introduces nonlinear dynamical systems analyses tailored for researchers across the social, health, and physical sciences, providing a framework to model complex human behavior and societal interactions. Participants will gain hands-on expertise in using R for nonlinear dynamical systems modeling, exploring concepts such as fixed points, stability, and attractors, with practical applications to enhance their research.

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