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We present a deep reinforcement learning framework for an automatic trading of contracts for difference (CfD) on …
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numerically optimised through a well-known CFD software ANSYS FLUENT. Optimisation is based on determining the optimum inert gas … (U-value) for the entire structure. For a typical case (τ=16 mm), CFD results are compared with the experimental data … derived from the standardised co-heating tests, and a good accordance is achieved. CFD results are also compared with the …
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terms of the percentage cladding in order to predict the aerodynamic drag using a validated CFD model. SolidWorks Flow …
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