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Investigating the use of machine learning to value contingent claims
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Using deep learning to classify community network traffic
Published 2023“…Numerous studies on traffic classification make use of the Machine Learning (ML) and single Deep Learning (DL) models. …”
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Applications of Machine Learning in Apple Crop Yield Prediction
Published 2022“…The final machine learning model outperforms simple estimator models showing that a data-driven approach using machine learning methods has the potential to benefit apple growers.…”
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Characterizing the digital planetarium as a teaching and learning space
Published 2024“…In addition to addressing the initial lines of inquiry, the localized models were then supplemented with broader cognitive models, in particular Working Memory (WM) and Cognitive Load Theory (CLT). …”
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Deep Learning-Based Brain Tumour Detection and Classification
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Implementation of machine learning techniques for railway wheel prognostics
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Training neural word embeddings for transfer learning and translation
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The effect of learning and cost optimization on line of balance scheduling
Published 2014“…Furthermore, a hypothetical case study was applied to verify the developed approach and to prove that the model gives accurate results. The developed tool proved to provide the planner/scheduler with near optimum costs, durations, and resources due to applying learning and cost/time optimization. …”
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Empirical modelling in non-linear predictive control : a coffee roaster application
Published 2024Subjects: “…Model predictive control…”
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Classification of Selected Cardiac Abnormalities through Machine Learning.
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Evaluating the effectiveness of neural network techniques in the forecasting of South African basic fuel prices
Published 2019Subjects: “…Machine learning…”
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Array completion methods for thermodynamic data generation
Published 2023Subjects: “…Thermodynamic models…”
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FPGA accelerated radio galaxy classification with a Fourier convolutional neural network
Published 2025Subjects: “…Machine learning -- Mathematical models…”
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Evolutionary algorithms for optimising reinforcement learning policy approximation
Published 2020“…The approach found models that were able to train reinforcement learning agents faster, and with fewer parameters than that found by OpenAI’s model in Blackwell et al. (2018) - a superhuman level of performance.…”
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A critical-hermeneutical inquiry of schools as learning organisations
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Student perceptions of blended learning interventions in teaching auditing
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Classification of customer complaints using machine learning algorithms
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The role of tutor development in a flexible learning system
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Exploration of reinforcement learning algorithms implemented in the Wrapslide environment
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