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Adaboost and its application using classification trees
Published 2021Get full text
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A decision support framework for machine learning applications
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Design of a rotor-tied doubly fed induction generator
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Optimising pressure profiles in superplastic forming
Published 2017Get full text
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Investigation of polymer grade blending in Ziegler-Natta Catalysed ethylene polymerisation systems
Published 2014Get full text
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An investigation into the use of the vanadium redox flow energy storage system for peak-shaving and load-leveling
Published 2012Get full text
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Improved decoder metrics for DS-CDMA in practical 3G systems
Published 2016“…MUDs, however, suffer from high complexity, including most of sub-optimal algorithms. Hence, most commercial implementations still use conventional single-user matched filter detectors. …”
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Project Leanness Score: A Machine Learning Approach
Published 2022“…Lean construction is a philosophy, backed with principles and tools, aiming at maximizing value, eliminating waste, optimizing efficiency, and seeking continuous improvement. …”
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The role of warfarin pharmacogenomics on the time it takes to reach stable therapeutic International Normalized Ratio (INR) and on warfarin dose required to maintain stable therape...
Published 2020“…However, none of these studies have involved populations from sub-Saharan Africa where the potential benefit of optimal dosing and reduced complications is greatest. …”
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Cooperative Collision Avoidance for the Voyager Unmanned Ground Vehicle: Practical Implementation and Demonstration
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A tool kit for the design of superconducting programmable gate arrays
Published 2011Get full text
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The application of machine learning for computational electromagnetic solver selection
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Minimising the total travel distance to pick orders on a unidirectional picking line
Published 2012Get full text
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Reinforcement learning for the control of traffic flow on highways
Published 2018Get full text
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Navigational precision of an autonomous ground vehicle using multiple sensors
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The robustness of H-infinity control
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A population Monte Carlo approach to estimating parametric bidirectional reflectance distribution functions through Markov random field parameter estimation
Published 2014“…It is also found that the sets of samples representing the posterior distributions over the MRF parameter spaces are better features for material surface classification than the optimal MRF parameters returned by multiple-seed Levenberg-Marquardt minimization algorithms, which are configured to find the same MRF parameters. …”
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