Comparison of metaheuristic algorithms set-point tracking-based weight optimization for model predictive control. [PDF]
Nassereddine K, Turzynski M.
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Artificial intelligenceâpowered microscopy: Transforming the landscape of parasitology
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz +4 more
wiley +1 more source
A comparative analysis of meshless based simulation optimization models with metaheuristic algorithms for groundwater remediation. [PDF]
Das S, Eldho TI.
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Optimization for a New XY Positioning Mechanism by Artificial Neural Network-Based Metaheuristic Algorithms. [PDF]
Dang MP +4 more
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Optimising parent selection in plant breeding: comparing metaheuristic algorithms for genotype building. [PDF]
Yadav S +7 more
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Some metaheuristic algorithms for solving multiple cross-functional team selection problems. [PDF]
Ngo ST +4 more
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Predictive analysis of concrete tensile strength using metaheuristic algorithms helping a neural network. [PDF]
Dong X.
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Mixture Optimization of Cementitious Materials Using Machine Learning and Metaheuristic Algorithms: State of the Art and Future Prospects. [PDF]
Song Y +5 more
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Optimizing solar power forecasting with metaheuristic algorithms and deep learning models for photovoltaic grid connected systems. [PDF]
Mohamad Radzi PNL +5 more
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Metaheuristic Algorithms Applied to Color Image Segmentation on HSV Space. [PDF]
Giuliani D.
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