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Applying Bayesian neural network to evaluate the influence of specialized mini projects on final performance of engineering students: A case study
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In this article, deep learning probabilistic models are applied to a case study on evaluating the influence of specialized mini projects (SMPs) on the performance of engineering students on their final year project (FYP) and cumulative grade point average (CGPA).
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