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A hybrid heuristic approach to optimize rule based software quality estimation models. (c2008)
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An eddy viscosity PANS model for non-zonal continuous hybrid RANS/LES simulations
Published 2022“…Two validation test cases are investigated, with the first involving shear flow between a moving and stationary fluid i.e., the backward-facing step, and the external aerodynamic flow over a simplified car body, i.e., the Ahmed body. Both cases are simulated using the proposed model, Improved Delayed Detached Eddy Simulation (IDDES), and Wall Modeled Large Eddy Simulation (WMLES). …”
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masterThesis -
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Research Issues in Agent-Based Simulation for Pedestrians Evacuation
Published 2020“…Agent-Based Simulation (ABS) is the preferred type of simulation for evacuation scenarios, due to its ability to model individual decision making and social behaviour. …”
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A comprehensive evaluation of photovoltaic simulation software: A decision-making approach using Analytic Hierarchy Process and performance analysis
Published 2025“…This study evaluates five widely used PV simulation software packages—SAM, PVsyst, HOMER, PV∗SOL, and RETScreen—by analyzing their features and performance across ten critical criteria, including cost, solar database accessibility, modeling capabilities, and ease of use. …”
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Agent-based model for simulating construction safety climate in a market environment
Published 2016“…In addition to incorporating various behavioral patterns and financial attributes of contractors and owners, the model makes use of insurance premium models and government fines to simulate safety climate patterns at the project and market levels. …”
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AI-enhanced interview simulation in the metaverse: Transforming professional skills training through VR and generative conversational AI
Published 2025“…To bridge this accessibility gap and democratize access to job opportunities, there is a need to develop automated interview simulation platforms. The advent of Generative AI (GenAI) technology, in particular Large Language Models (LLMs), makes this is viable proposition but progress is hindered by the absence of open-source implementations for reproducibility and comparison, as well as the lack of suitable evaluation benchmarks and experimental setups. …”
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Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience
Published 2022“…The framework represents a major leap forward in simulation-based neuroscience, making it possible to employ high-resolution 3D structural models for quantification of surface areas and volumes, which are of the utmost importance for cellular and system simulations. …”
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Simulation of the Dynamic Effects of Wave Slamming on Flexible Marine Structures
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doctoralThesis -
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Modeling and Control of Electrostatically Actuated RF-MEMS Switches
Published 2014Get full text
doctoralThesis -
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Validating a new model for rapid multi-dimensional combined heat and air infiltration building energy simulation
Published 2015“…The study found that even the most advanced current algorithms have up to 96.13% relative error versus CFD analysis. A new model for combined heat and air infiltration simulation is developed and presented. …”
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A novel hybrid model for multiphase flow in complex multi-scale fractured systems
Published 2021“…<p>We present a multi-level discrete fracture model (MLDFM) to guarantee a robust and efficient solution for naturally fractured reservoir simulation. …”
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Simulation analysis for managing and improving productivity
Published 2015“…All model simulation, inputs and outputs were discussed and agreed upon by facility management. …”
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Site selection for offshore renewable energy platforms: A multi-criteria decision-making approach
Published 2024“…A Bayesian Network (BN) model is then employed to integrate uncertainties into a multi-criteria decision-making (MCDM), enhancing the robustness of site selection. …”
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Iterative RBF neural networks as metamodels of stochastic simulations
Published 2017“…Research into emerging technological approaches to make computer simulations more effective and efficient is an essential ingredient to developing successful manufacturing models. …”
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conferenceObject -
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Blend Scheduling Solutions in Petroleum Refineries towards Automated Decision-Making in Industrial-like Blend-Shops
Published 2024“…Alternatively, to avoid such a complex solution, trial-and-error procedures in simulation-based approaches are commonplace. This article discusses solutions for blend scheduling (BS) in petroleum refineries, highlighting optimization against simulation, continuous (simultaneous) and batch (sequential) mixtures, continuous- and discrete-time formulations, and large-scale and complex-scope BS cases. …”
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Simulation Based Optimization of Logistics Decisions Under Horizontal Collaboration
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doctoralThesis