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Application of clustering techniques for improved energy benchmarking on deep-level mines
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Optimal hydroponic growth of Brassica Oleracea at low nitrogen concentrations using a novel ph-based control strategy
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Yield analysis optimization of microwave devices; antennas using non-linear partial-least-squares; polynomial chaos expansion
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Design and optimization of an embedded machine learning image processing system with a Linux SOC for large-scale livestock tallying
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An Optimized LTE-Based Technique for Drone Base Station 3D Placement and Resource Allocation in Delay-Sensitive M2M Networks
Published 2021“…This optimization algorithm determines the optimal bound of the solution. …”
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Implementation of clustering techniques for segmentation of Mozambican cassava suppliers
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Synthesis of optimal heat and mass exchange networks using a two-step hybrid approach including detailed unit designs
Published 2017“…Subsequent iterations of the network design step are then updated with information from the detailed network designs. The algorithm has certain advantages over previous methods in that the network optimisation is based on more realistic representations of the actual units therein and also that the method increases the likelihood of attaining a globally optimal solution through the generation and assessment of multiple candidate networks throughout the algorithm. …”
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Drone Base Station Trajectory Management for Optimal Scheduling in LTE-Based Sparse Delay-Sensitive M2M Networks
Published 2019“…Based on this formulation, we decided to compare between an Ant Colony Optimization (ACO) based technique that optimizes the drone movement among the sparsely-deployed MTCDs and a Genetic Algorithm (GA) based solution that achieves the same purpose. …”
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BIM-Based model for the automatic generation and optimization of planning and 4-D scheduling for concrete skeleton: A graph theory approach
Published 2019“…For this purpose, an intelligent framework with advanced computational tools and algorithms is designed and created to achieve a higher degree of design-construction integration and spatial integration of individual building elements in order to achieve an optimized sequencing of building elements (in terms of time and resource utilization). …”
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Identification of desired operational spaces via numerical methods
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A machine learning framework for security forecasting and trading
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On two combinatorial optimisation problems involving lotteries
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Generalized model predictive pulse pattern control based on small-signal modelling
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Optimal sizing and placement of independent power producers on MV, HV and EHV networks for minimum power line losses using neural networks
Published 2025“…The 66kV ANN model recommends an optimal IPP size of 12MW operating at 0.975 (lagging) power factor, located 14.04km from the sending end substation using an ACSR Kingbird conductor. …”
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Optimal sizing and placement of independent power producers on MV, HV and EHV networks for minimum power line losses using neural networks
Published 2025“…The 66kV ANN model recommends an optimal IPP size of 12MW operating at 0.975 (lagging) power factor, located 14.04km from the sending end substation using an ACSR Kingbird conductor. …”
Get full text
ThesisFull Text AvailableAccess Full Text at Repository