Scheduling coal handling processes using metaheuristics

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Multidisciplinary design and optimisation of liquid containers for sloshing and impact

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FD-TD synthesis and resonance based identification of GPR returns from buried land-mines by Van der Leij, Willem Rienk

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Numerical optimisation and theoretical analysis of complex microchannel heat exchangers by Godi, Nahum Yustus

“…Theoretical analysis (intersection of asymptotes method) was carried out in the cooling channels (circular and rectangular). …”
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Geometric optimisation of conjugate heat transfer in cooling channels with different cross-sectional shapes

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Flow and heat transfer in packed beds of rock. by Hassan, E. B. E.

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Digital soil mapping techniques across multiple landscape scales in South Africa by Trevan, Flynn

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Designing multimodal public transport networks using metaheuristics

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Design of a centrifugal compressor for application in micro gas turbines by De Villiers, Lodewyk Christoffel Barend

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Modelling and control of industrial gas headers to improve flow stability and reduce pollution

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Automated brick sculpture construction by Smal, Eugene

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The development of a linear cutting machine used to characterise fem modelling parameters for cutting ug2 reef

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Hierarchical model predictive control of a venlo-type greenhouse

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Selection Hyper-heuristics for Population-based Meta-heuristics in Continuous Dynamic Environments

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Fluid-Structure Interaction of NREL 5-MW Wind Turbine by Abd-Elhay, Mohamed Sayed Elkady

“…This study introduced two passive optimization methods: material Bend Twist Coupling (BTC) and blade root fixation. …”
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Reliable Outdoor Ai-Based Autonomous Uav Localization and Trajectory Tracking Using Cellular Networks by Afifi, Ghada

“…We utilize conventional optimization methods to determine the optimal bound of the solution of the reliable UAV navigation problem. …”
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Deep Reinforcement Learning-Based Approaches for the MPPT Control of Standalone Solar PV Systems by Nwachukwu, Sampson

“…Recently, metaheuristic optimization algorithms, including particle swarm optimization (PSO), genetic algorithm (GA), etc., have been used to deal with the limitations of classical methods. …”
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Reinforcement learning for power scheduling in a grid-tied pv-battery electric vehicles charging station by Arwa, Erick Odhiambo

“…Unlike other optimization methods such as numerical and soft computing techniques, RL does not require an accurate model of the optimization environment in order to arrive at an optimal solution. …”
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Multi-purpose applications of energy storage systems in a power system network by Okafor, Chukwuemeka Emmanuel

“…When comparing the proposed optimal sizing approach with existing methods, the suggested methodology performed better due to its ability to eliminate the weighting factors, thereby ensuring that none of the objective functions dominate the other. …”
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Predictive Maintenance: Leveraging Hybrid LSTM-CNN Architectures for Enhanced Performance by El Sadeek, Kamal Mohamed

“…These findings pave the way for future research that incorporates real-time streaming data, explores more advanced architectures such as Transformers, and investigates domain adaptation methods to bridge the gap between simulated and real-world applications.…”
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