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Evaluation of two prototype three phase photovoltaic water pumping systems
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Driver traffic violation detection and driver risk calculation through real-time image processing
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Multi-objective optimisation under deep uncertainty
Published 2018“…Moreover, during the long-term calculations, we noticed that the two-stage algorithm failed to find the optimal solutions for some iterations while the three-stage algorithm found the optimal value in all cases. …”
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Using Hybrid Machine learning Models for Stock Price Forecasting and Trading.
Published 2024“…Recently, the focus increased on using Machine learning models to predict stock prices and algorithmic trading as currently there is a huge amount of data that can be processed and used to forecast and trade stocks. …”
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Investigation and design of a slotted waveguide antenna with low 3D sidelobes
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Convolutional and fully convolutional neural networks for the detection of landmarks in tsetse fly wing images
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Impact assessment of large-scale penetration of permanent magnet synchronous generators on power quality
Published 2018“…Moreover, the advancements in power electronics have facilitated PMSGs to generate optimal power at varying wind speed conditions. This is achieved through the use of maximum power point tracking algorithms. …”
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Low bit rate speech coding
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Optimisation study of geographical allocation of solar PV generation capacity for grid support
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Abdominal ultrasonography inHIV/AIDS patients in southwestern Nigeria.
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Modelling the clusters and boundaries of sub-Saharan plant assemblages in future environments
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Volatility Model Pricing and Calibration with Neural Networks using Bayesian Optimisation
Published 2023“…Bayesian Optimisation algorithms are implemented to select models with the lowest loss metric for SABR and Heston volatility models. …”
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Operational cost and emissions minimisation of a multi-microgrid system through energy management
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AN APPLICATION OF GOAL PROGRAMMING TO ACADEMIC RESOURCE ALLOCATION PLANNING
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A hybrid scavenger grid approach to intranet search
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Partial end-to-end reinforcement learning for robustness towards model-mismatch in autonomous racing’
Published 2023Get full text
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