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Synthesis of novel staurosporine analogues as potential kinase inhibitors
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Integration of ranking and selection methods with the multi-objective optimisation cross-entropy method
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An evaluation of the socio-economic impact of timber production with and without the inclusion of biomass energy production
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Player performance evaluation in rugby using Stochastic Multi-Criteria Acceptability Analysis with simplified uncertainty formats
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Learning decentralized policies with incremental reinforcement learning, reward shaping and self-play learning.
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The evaluation of the ONIOM-EE method for the QM/MM hybrid modeling of HF, CO and CO/HF Clusters
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Application of differential evolution to power system stabilizer design
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Principal points, principal curves and principal surfaces
Published 2015“…Principal points of a distribution have been initially introduced by Flury (1990) who tackled the problem of optimal grouping in multivariate data. …”
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An ultra high resolution FMCW radar
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Production scheduling of Aluminium Anodising plant
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The shape optimisation of compliant structures to produce a desired snap-through load-placement path
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Evolutionary deep learning
Published 2019“…We show that evolutionary algorithms can help tame this explosion of freedom, by developing an algorithm that robustly evolves near optimal deep neural network architectures and hyper-parameters across a wide range of image and sentiment classification problems. …”
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Towards Sustainable Freight Energy Management - Development of a Strategic Decision Support Tool
Published 2021“…Explained in short, the value of using the FTEMT to generate decision support is that it explores the decision space and reduces the number of decision alternatives that decision-makers need to consider to a manageable number of solutions, all of which represent harmonic measure combinations geared toward optimal performance in terms of the entire spectrum of the problem objectives. …”
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Analysis and synthesis algorithms for the electric screen Jauman electromagnetic wave absorber
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Batch sizing and scheduling on a volatile production line through the usage of linear optimisation
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Low-rank completion and recovery of correlation matrices
Published 2020“…In the pursuit of efficient methods of dimension reduction for multi-factor correlation systems and for sparsely populated and partially observed matrices, the problem of matrix completion within a low-rank framework is of particular significance. …”
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Strategies for the control of a satellite with thruster misalignment
Published 2006Get full text
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Protection-based Distributed Generation Penetration Limits on MV feeders - Using Machine Learning
Published 2022“…For future work, the collection of more data points (results from detailed analytical studies on the impact of DG on MV feeders) to use as training data to solve the observed high variance problem is recommended. Also, modifying the model by adding upstream and downstream network features as inputs in the classification model to solve the high bias problem is recommended.…”
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