Relevant bibliographies by topics / Process model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Process model'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Process model"

1

Kumar, Ajit. "Software Re-engineering Process Model." International Journal of Science and Research (IJSR) 10, no. 1 (2021): 474–76. https://doi.org/10.21275/sr21101152601.

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Monday, Eze, and Okunbor Charles. "Analytical study of software development process model variants." Global Journal of Engineering and Technology Advances 8, no. 2 (2021): 023–31. https://doi.org/10.5281/zenodo.5195424.

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Software Engineering is a branch of Computer Science that evolved as a result of urgent need to deal with decades of software crisis, characterized by low theoretical knowledge and practice of the construction of error-free and efficient software. The introduction of well-organized scientific, engineering and management strategies in the process of software development no doubt led to major breakthroughs, and solutions to software failures. One of the obvious game-changer in this regard is the evolution of Software Development Life Cycle, also known as Software Process Model for driving the di
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Abd EL-hamid, Ahmed S., Ahmed E. hussian, and Aly M. Radwan. "Generic Model Control of Biomethanation Process." International Journal of Engineering Research 4, no. 6 (2015): 282–85. http://dx.doi.org/10.17950/ijer/v4s6/602.

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Solanki, Dr Ashvinkumar H. "Portfolio Selection Process through Markowitz Model." Indian Journal of Applied Research 4, no. 8 (2011): 356–58. http://dx.doi.org/10.15373/2249555x/august2014/90.

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Shalamanov, Velizar. "Process-oriented Model of Information Warfare." Information & Security: An International Journal 1, no. 2 (1998): 59–66. http://dx.doi.org/10.11610/isij.0116.

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Satti, Rabail Shafique, and Fakeeha Jafari. "Domain Specific Cyber Forensic Investigation Process Model." Journal of Advances in Computer Networks 3, no. 1 (2015): 75–81. http://dx.doi.org/10.7763/jacn.2015.v3.145.

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Martynyuk, Oleksandr. "Model of Process Synchronization in Through Analysis." Advances in Cyber-Physical Systems 6, no. 1 (2021): 33–38. http://dx.doi.org/10.23939/acps2021.01.033.

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Synchronization of parallel processes of distributed information systems (DIS) has been largely determined by decisions taken at the stages of their design. Having already been in structural and functional models, when determining cause- and-effect relationships for events and actions in DIS components, it becomes necessary to coordinate them. In the proposed multilevel systemic, structural and functional synchronization model, a hierarchy of such causal relationships with interlevel mappings, inheritance and encapsulation of events and actions have been formed. The model has been also based o
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Kottapalli, Pavani. "Virtuous Business Model & Knowledge Creation Process." International Journal of Science and Research (IJSR) 10, no. 10 (2021): 1622–23. http://dx.doi.org/10.21275/sr24531192911.

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Mielcarek, Paweł. "Process maturity model of organization." Management Forum 5, no. 4 (2017): 8–12. http://dx.doi.org/10.15611/mf.2017.4.02.

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Woś-Szymanowska, Agnieszka. "Process Communication Model – an effective tool supporting education." Edukacyjna Analiza Transakcyjna 7 (2018): 15–26. http://dx.doi.org/10.16926/eat.2018.07.01.

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Dissertations / Theses on the topic "Process model"

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Cibulka, Ondřej. "Hodnocení výkonnosti BI procesů v bankovnictví." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-72422.

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Diploma thesis named Evaluation of BI processes in the banking sector is focused on obtaining information from production databases and streamlining the process of creating BI reports in the organization. The process of creating a report is an analytical work, examining the current state of business processes and their support by enterprise applications. The aim of this work is to create a practical proposal for improving the effectiveness of tasks connected with a report set up within GE Money Bank. The main objective is achieved through a design work on the maturity model of BI reporting. Pa
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Smirnov, Sergey. "Business process model abstraction." Phd thesis, Universität Potsdam, 2011. http://opus.kobv.de/ubp/volltexte/2012/6025/.

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Business process models are used within a range of organizational initiatives, where every stakeholder has a unique perspective on a process and demands the respective model. As a consequence, multiple process models capturing the very same business process coexist. Keeping such models in sync is a challenge within an ever changing business environment: once a process is changed, all its models have to be updated. Due to a large number of models and their complex relations, model maintenance becomes error-prone and expensive. Against this background, business process model abstraction emerged
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Elias, Mturi. "Design of Business Process Model Repositories : Requirements, Semantic Annotation Model and Relationship Meta-model." Doctoral thesis, Stockholms universitet, Institutionen för data- och systemvetenskap, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-117035.

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Business process management is fast becoming one of the most important approaches for designing contemporary organizations and information systems. A critical component of business process management is business process modelling. It is widely accepted that modelling of business processes from scratch is a complex, time-consuming and error-prone task. However the efforts made to model these processes are seldom reused beyond their original purpose. Reuse of business process models has the potential to overcome the challenges of modelling business processes from scratch. Process model repositor
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Maršálek, Vít. "Analýza a optimalizace procesů podniku." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-316715.

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This thesis is focused on optimizing processes at Air Bank, a.s. The aim will be to analyze the banking process called. "Completing the new framework agreement" with the subsequent design optimization for faster problem solving. The first part will be presented theoretical insights that are intended to familiarize the reader with the basic concepts relating to the processes and their optimization. The next part will be focused on analysis of existing activities. Contribution of thesis will be in the analysis of selected processes and propose solutions that will have a real benefit for the oper
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Bello, Bernardo. "PROCESS MANUFACTURING SELECTION MODEL." Thesis, KTH, Industriell produktion, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-218031.

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Klinkmüller, Christopher. "Adaptive Process Model Matching." Doctoral thesis, Universitätsbibliothek Leipzig, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-224884.

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Process model matchers automate the detection of activities that represent similar functionality in different models. Thus, they provide support for various tasks related to the management of business processes including model collection management and process design. Yet, prior research primarily demonstrated the matchers’ effectiveness, i.e., the accuracy and the completeness of the results. In this context (i) the size of the empirical data is often small, (ii) all data is used for the matcher development, and (iii) the validity of the design decisions is not studied. As a result, existing
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Mane, Pranay P. "RO Process Optimization Based on Deterministic Process Model Coupled with Stochastic Cost Model." Thesis, Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14486.

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A survey performed over existing two pilot-scale and two full-scale RO desalination facilities to study the current status of boron rejection showed a highest rejection 85% leading to permeate boron concentration of 0.52 mg/L, and recent studies predicted a cost increase due to incorporation of boron reduction systems. Mathematical models were developed to study the process performance and related cost implications. The deterministic process model was verified with pilot-scale experiment performed using a single spiral wound module and was later modified to represent the full-scale design op
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Hejda, Jan. "Problematika vymezení role vlastníka procesu." Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-142197.

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The aim of this thesis is to map how the most common process-oriented methodologies and standards govern the issue of process ownership, define the role of a process owner and a comparison of these with a current practice in the corporate environment. The first part describes the theoretical concepts related to process management, including a description of selected methodologies. The following part is a questionnaire and its description followed by the expected responses based on previous theories. The last, third, part of the thesis contains an analysis based on the data obtained from the qu
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Martanová, Kateřina. "Procesní řízení a modelování v podnicích cestovního ruchu." Master's thesis, Vysoká škola ekonomická v Praze, 2008. http://www.nusl.cz/ntk/nusl-7503.

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Thesis presents author's view to principles of business process management (BPM) and the process approach to the description of business processes. The main contribution made by this thesis is subsequent practical application of all principles to particular company in tourism - asistence service. Objectives of this thesis were achieved through studying theoretical resources and use of practical experience.
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Laitinen, Jarmo. "Model based construction process management." Doctoral thesis, Stockholm : Tekniska högsk, 1998. http://www.lib.kth.se/abs98/lait0914.pdf.

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Books on the topic "Process model"

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United States. National Aeronautics and Space Administration., ed. TUNS/TCIS information model/process model. National Aeronautics and Space Administration, 1992.

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Kucza, Timo. Knowledge management process model. Technical Research Centre of Finland, 2001.

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Massachusetts. District Court Department. Administrative Office. Model colloquies. Administrative Office of the District Court, 2007.

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Massachusetts. District Court Department. Administrative Office. Model colloquies. Administrative Office of the District Court, 2009.

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Berber, Ridvan, and Costas Kravaris, eds. Nonlinear Model Based Process Control. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5094-1.

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Dijkman, Remco, Jörg Hofstetter, and Jana Koehler, eds. Business Process Model and Notation. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25160-3.

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Ansari, Rashid M., and Moses O. Tadé. Nonlinear Model-based Process Control. Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0739-2.

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Mendling, Jan, and Matthias Weidlich, eds. Business Process Model and Notation. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33155-8.

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Berber, Ridvan. Nonlinear Model Based Process Control. Springer Netherlands, 1998.

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Henze, M. Activated sludge model. International Association on Water Quality, 1995.

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Book chapters on the topic "Process model"

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Pittner, John, and Marwan A. Simaan. "Process Model." In Advances in Industrial Control. Springer London, 2010. http://dx.doi.org/10.1007/978-0-85729-067-0_2.

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Shekhar, Shashi, and Hui Xiong. "Process Model." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1031.

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Pittner, John, and Marwan A. Simaan. "Process Model." In Tandem Hot Metal Rolling Mill Control. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-58082-6_2.

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Corriou, Jean-Pierre. "Model Predictive Control." In Process Control. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61143-3_16.

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Corriou, Jean-Pierre. "Model Predictive Control." In Process Control. Springer London, 2004. http://dx.doi.org/10.1007/978-1-4471-3848-8_16.

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Rengaswamy, Raghunathan, Babji Srinivasan, and Nirav Pravinbhai Bhatt. "Model Predictive Control." In Process Control Fundamentals. CRC Press, 2020. http://dx.doi.org/10.1201/9780367433437-8.

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Nilsson, Nils. "The Business Model." In The Entrepreneurial Process. Routledge, 2021. http://dx.doi.org/10.4324/9781003098225-7.

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Gerth, Christian. "Process Model Merging." In Business Process Models. Change Management. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38604-6_10.

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Xiong, Jay. "NSE Process Model." In New Software Engineering Paradigm Based on Complexity Science. Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-7326-9_8.

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Buck-Sorlin, Gerhard. "Process-based Model." In Encyclopedia of Systems Biology. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-9863-7_1545.

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Conference papers on the topic "Process model"

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Lee, Andrew, Robert B. Parker, Sarah Poon, Dan Gunter, Alexander W. Dowling, and Bethany Nicholson. "Model Diagnostics for Equation-Oriented Models: Roadblocks and the Path Forward." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.147875.

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Equation-Oriented (EO) modeling techniques have been gaining popularity as an alternative for simulating and optimizing process systems due to their flexibility and ability to leverage state-of-the-art solvers inaccessible to many procedural modeling approaches. Despite these advantages, adopting EO modeling tools remains challenging due to the significant learning curve and effort required to build and solve models. Many techniques are available to help diagnose problems with EO process models and reduce the effort required to create and use them. However, these techniques still need to be in
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Farlessyost, William, and Shweta Singh. "Improving Mechanistic Model Accuracy with Machine Learning Informed Physics." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.121371.

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Machine learning presents opportunities to improve the scale-specific accuracy of mechanistic models in a data-driven manner. Here we demonstrate the use of a machine learning technique called Sparse Identification of Nonlinear Dynamics (SINDy) to improve a simple mechanistic model of algal growth. Time-series measurements of the microalga Chlorella Vulgaris were generated under controlled photobioreactor conditions at the University of Technology Sydney. A simple mechanistic growth model based on intensity of light and temperature was integrated over time and compared to the time-series data.
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Lynch, Hailey G., Aaron Bjarnason, Daniel J. Laky, Cameron J. Brown, and Alexander W. Dowling. "Optimizing Batch Crystallization with Model-based Design of Experiments." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.152239.

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Adaptive and self-optimizing intelligent systems such as digital twins are increasingly important in science and engineering. Digital twins utilize mathematical models to provide added precision to decision-making. However, physics-informed models are challenging to build, calibrate, and validate with existing data science methods. Model-based design of experiments (MBDoE) is a popular framework for optimizing data collection to maximize parameter precision in mathematical models and digital twins. In this work, we apply MBDoE, facilitated by the open-source package Pyomo.DoE, to train and val
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Kalenkova, Anna A., Wil M. P. van der Aalst, Irina A. Lomazova, and Vladimir A. Rubin. "Process mining using BPMN." In MODELS '16: ACM/IEEE 19th International Conference on Model Driven Engineering Languages and Systems. ACM, 2016. http://dx.doi.org/10.1145/2976767.2987688.

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De Nicola, Antonio, Tania Di Mascio, Mario Lezoche, and Francesco Taglino. "Semantic Lifting of Business Process Models." In 2008 Workshop on Models and Model-driven Methods for Enterprise Computing (3M4EC 2008). IEEE, 2008. http://dx.doi.org/10.1109/edocw.2008.55.

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Almeida, Joao Paulo A., Adrian Rutle, Manuel Wimmer, and Thomas Kuhne. "The MULTI Process Challenge." In 2019 ACM/IEEE 22nd International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2019. http://dx.doi.org/10.1109/models-c.2019.00027.

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Brockhoff, Tobias, Malte Heithoff, Istvan Koren, et al. "Process Prediction with Digital Twins." In 2021 ACM/IEEE International Conference on Model Driven Engineering Languages and Systems Companion (MODELS-C). IEEE, 2021. http://dx.doi.org/10.1109/models-c53483.2021.00032.

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Leemans, Maikel, and Wil M. P. van der Aalst. "Process mining in software systems: Discovering real-life business transactions and process models from distributed systems." In 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2015. http://dx.doi.org/10.1109/models.2015.7338234.

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"Using Process Ontology Together with Process Editor - To Facilitate Tool Integration." In Special Session on Cooperative Model Driven Development. SCITEPRESS - Science and and Technology Publications, 2015. http://dx.doi.org/10.5220/0005429005650573.

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"PROCESS MODEL VALIDATION - Transforming Process Models to Extended Checking Models." In International Conference on Evaluation of Novel Approaches to Software Engineering. SciTePress - Science and and Technology Publications, 2010. http://dx.doi.org/10.5220/0003016602140220.

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Reports on the topic "Process model"

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Buck, Edgar C., Richard S. Wittman, Frances N. Skomurski, Kirk J. Cantrell, Bruce K. McNamara, and Chuck Z. Soderquist. Radiolysis Process Model. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1069211.

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Ruptier, G. L., and Paul E. Girard. Command Process Model. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada228620.

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J. Schmitt. Biosphere Process Model Report. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/837091.

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T. Booth. Integrated Site Model Process Report. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/837086.

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Seymour Katz. Cupola Furnace Computer Process Model. Office of Scientific and Technical Information (OSTI), 2004. http://dx.doi.org/10.2172/859885.

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Barkow, Ingo, William Block, Jay Greenfield, et al. Generic Longitudinal Business Process Model. Inter-university Consortium for Political and Social Research (ICPSR), 2013. http://dx.doi.org/10.3886/ddilongitudinal05.

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Klensin, J., and S. Dawkins. A Model for IETF Process Experiments. RFC Editor, 2004. http://dx.doi.org/10.17487/rfc3933.

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R.A. Wagner. Near Field Environment Process Model Report. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/837130.

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Zenyuh, John P., Phillip C. Duncan, William B. Rouse, and Theodore A. Lamb. Job Aiding/Training Decision Process Model. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada256947.

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Hocking, E., R. Johnson, L. Martino, and D. Elcock. A decisional process model for stewardship. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/776741.

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