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Arctic tern-optimized weighted feature regression system for predicting bridge scour depth
Published 2024-12-01“…This paper presents a pioneering artificial intelligence (AI) solution – the Arctic Tern-Optimized Weighted Feature Least Squares Support Vector Regression (ATO-WFLSSVR) system to aid civil engineers in accurately predicting scour depth at bridges. This prediction system amalgamates the strengths of hybrid models by uniting a metaheuristic optimization algorithm with weighted features and least squares support vector regression (WFLSSVR). …”
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Current situation and reform trend of medical practical course teaching mode in the "AI+Education" era
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Machine Learning‐Based Failure Prediction in Concrete Slabs and Cubes Under Impact Loading
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Using genomic data and machine learning to predict antibiotic resistance: A tutorial paper.
Published 2024-12-01Get full text
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Prediction of the Natural Gas Compressibility Factor by using MLP and RBF Artificial Neural Networks
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Conformational transitions upon ligand binding: holo-structure prediction from apo conformations.
Published 2010-01-01Get full text
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