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A novel problem-solving method by multi-computational optimisation of artificial neural network for modelling and prediction of the flow erosion processes
Published 2024-12-01“…As for the training dataset, 80% of the dataset from the sample sites, four hybrid algorithms, namely heap-based optimizer (HBO), political optimizer (PO), teaching-learning based optimization (TLBO), and backtracking search algorithm (BSA) combined with artificial neural network (ANN) was used to create an erosion susceptibility model and establishes a unique and original approach. …”
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Editorial: Optimal design and efficiency improvement of fluid machinery and systems: volume II
Published 2025-07-01Get full text
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Automation and Optimization of Food Process Using CNN and Six-Axis Robotic Arm
Published 2024-11-01Get full text
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Optimization of early diagnosis of ovarian cancer using an original software ScOv
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Accelerating antibody discovery and optimization with high-throughput experimentation and machine learning
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Long-context inference optimization for large language models: a survey
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An Approach to Trustworthy Article Ranking by NLP and Multi-Layered Analysis and Optimization
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Design optimization methodology of submarine using multilevel numerical CFD models
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Vehicle Painting Robot Path Planning Using Hierarchical Optimization
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The simulation and the optimization of the quality function of the process of the nanoscale film’s growth
Published 2015-10-01Get full text
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