Newspaper article-based agent control in smart city simulations

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Machine learning approaches towards tuning ALICE TRD simulations by Ramraj, Nikhiel

“…After such exploration a single parameter namely the Xe gas gain is subjected to modification. A machine learning approach is taken with the use of deep learning discrimination mechanisms namely artificial neural networks and convolutional neural networks to quantify the effect that our tuning has on the improvement of the simulation results and their conformation to the real data. …”
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An RFI simulation pipeline to help teach interferometry and machine learning by Agbetsiafa, Insight Enya Aku

Subjects: “…RFI simulation pipeline…”
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Scaling multi-agent reinforcement learning to eleven aside simulated robot soccer by Smit, Andries

Subjects: “…Scaling multi-agent reinforcement; learning to eleven aside simulated robot soccer…”
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Machine learning applied to simulations of collisions between rotating, differentiated planets

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Application of probabilistic deep learning models to simulate thermal power plant processes by Raidoo, Renita Anand

“…Deep learning has gained traction in thermal engineering due to its applications to process simulations, the deeper insights it can provide and its abilities to circumvent the shortcomings of classic thermodynamic simulation approaches by capturing complex inter-dependencies. …”
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Improving terrestrial carbon flux simulations with machine learning and global Earth observations

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Utilising machine learning techniques on simulated viral evolution datasets to improve viral recombinant identification by Cullinan, Joshua

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Automated Ligand Design in Simulated Molecular Docking - Optimising ligand binding affinity through the application of deep Q-learning to docking simulations by Maccallum, Robert

“…Here, we extend state-of-the-art deep reinforcement learning molecular modification algorithms and, through the integration of molecular docking simulations, apply them to automatically design novel antagonists for the adenosine triphosphate binding site of Plasmodium falciparum phosphatidylinositol 4-kinase, an enzyme essential to the malaria parasite's development within an infected host.…”
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The rationale, design, implementation and evaluation of business simulation gaming as a tool for management learning by Wegner, Trevor

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Fault pattern recognition in simulated furnace data by Theunissen, Carl Daniel

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SOFTWIRE : an interactive, computer-based system for enhancing learning in electrical engineering using simulation by Geerdts, C D

“…The different modes used in computer-based learning are discussed and compared, and the conclusion reached that simulation provides the best basis for a learning enhancement system. …”
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Research on Deformation Prediction of Small Interval Tunnel Based on Machine Learning and Numerical Simulation

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Assessing cartel detection and damages in simulated markets : a comparative study of econometric and machine learning approaches by Visser, Amy Sharon

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Machine learning algorithms for climate change integration in evaluation: A conceptual model and simulated case application in Africa

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Accelerating regional wind energy assessment with deep-learning surrogates of WRF wind farm simulations

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Learning inherent genetic patterns and trait associations with deep generative models for discrete genotype simulation

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Experiences of learners when a computer simulation is used to aid teaching the photoelectric effect

Subjects: “…Interactive Computer Simulations…”
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Experiences of learners when a computer simulation is used to aid teaching the photoelectric effect

Subjects: “…Interactive Computer Simulations…”
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From comic panels to clinical practice: data comics as a learning analytics tool in nursing simulation

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