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The next generation of modeling & simulation: integrating big data and deep learning
16 references·1 citing·42 second hop
The next generation of modeling & simulation: integrating big data and deep learning (2015)The next generation of modeling & simulat…How to Build Valid and Credible Simulation Models (2019)How to Build Valid and Credib…Design and Analysis of Simulation Experiments (2018)Design and Analysis of Simula…Undefined By Data: A Survey of Big Data Definitions (2013)Undefined By Data: A Survey o…Interoperability, Composability, and Their Implications for Distributed Simulation: Towards Mathematical Foundations of Simulation Interoperability (2013)Interoperability, Composabili…Verification and validation of simulation models (2012)Verification and validation o…The pathologies of big data (2009)The pathologies of big dataA review of Web-based simulation and supporting tools (2009)A review of Web-based simulat…Conceptual modelling for simulation Part I: definition and requirements (2007)Conceptual modelling for simu…Data farming: discovering surprise (2004)Data farming: discovering sur…Extensible Modeling and Simulation Framework (XMSF) Opportunities for Web-Based Modeling and Simulation (2002)Extensible Modeling and Simul…Error and uncertainty in modeling and simulation (2002)Error and uncertainty in mode…Web-based simulation (2000)Web-based simulationSeeing is believing: the importance of visualization in manufacturing simulation (2000)Seeing is believing: the impo…Web-based simulation (1996)Web-based simulationConcepts and criteria to assess acceptability of simulation studies (1981)Concepts and criteria to asse…Concepts for advanced simulation methodologies (1979)Concepts for advanced simulat…Hybrid simulation studies and Hybrid Simulation systems: Definitions, challenges, and benefits (2015)Hybrid simulation studies and…Simulation Modeling and Analysis. (1983)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)An algorithm for fast optimal Latin hypercube design of experiments (2009)Robust Optimization (2009)Design of computer experiments: space filling and beyond (2011)Regression and Kriging metamodels with their experimental designs in simulation: A review (2016)Systems Thinking, Systems Practice (1981)Simulation modeling and analysis (1999)A Survey of Agent-Based Modeling Practices (January 1998 to July 2008) (2009)Hybrid simulation modelling in operational research: A state-of-the-art review (2018)How simulation modelling can help reduce the impact of COVID-19 (2020)Overview of business models for Web 2.0 communities (2006)4 What Is Web 2.0? Design Patterns and Business Models for the Next Generation of Software (2012)Insight Maker: A general-purpose tool for web-based modeling & simulation (2014)A method for the updating of stochastic kriging metamodels (2015)A review of open source discrete event simulation software for operations research (2015)The data warehouse toolkit: practical techniques for building dimensional data warehouses (1996)Big Data and supply chain management: a review and bibliometric analysis (2016)Data colonialism through accumulation by dispossession: New metaphors for daily data (2016)Algorithms at Work: The New Contested Terrain of Control (2019)Discrete-Event System Simulation (1984)Model verification and validation (2003)AdViSHE: A Validation-Assessment Tool of Health-Economic Models for Decision Makers and Model Users (2015)Proceedings of the 2017 Winter Simulation Conference (2017)Discrete Event System Simulation (2024)Principles of Operations Research. (1970)The Emergence of Ecology as a New Integrative Discipline (1977)Theory of Modelling and Simulation. (1977)The time and state relationships in simulation modeling (1981)A specification language to assist in analysis of discrete event simulation models (1985)Empirical Model Building and Response Surfaces (1988)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Verification, validation, and predictive capability in computational engineering and physics (2004)Calibration, validation, and sensitivity analysis: What's what (2006)Monte-Carlo based uncertainty analysis: Sampling efficiency and sampling convergence (2012)Synthesizing experiences: Lessons to be learned from Internet-mediated simulation games (2003)Enterprise simulation: a hybrid system approach (2005)Data analytics competency for improving firm decision making performance (2017)Human resources for Big Data professions: A systematic classification of job roles and required skill sets (2017)Knowledge Management in the Fourth Industrial Revolution: Mapping the Literature and Scoping Future Avenues (2020)Supply network topology and robustness against disruptions – an investigation using multi-agent model (2010)System dynamics modeling for sustainable supply chain management: A literature review and systems thinking approach (2018)
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References

  • 2012Verification and validation of simulation models1,730 cited
  • 2009The pathologies of big data680 cited
  • 2002Error and uncertainty in modeling and simulation629 cited
  • 2007Conceptual modelling for simulation Part I: definition and requirements481 cited
  • 2018Design and Analysis of Simulation Experiments449 cited
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  • 2019How to Build Valid and Credible Simulation Models254 cited
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  • 2013Interoperability, Composability, and Their Implications for Distributed Simulation: Towards Mathematical Foundations of Simulation Interoperability46 cited

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2004
Data farming: discovering surprise
44 cited

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  • 2015Hybrid simulation studies and Hybrid Simulation systems: Definitions, challenges, and benefits39 cited