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Modelling the Current and Future Pollutant Emission from Non-Road Machinery: A Case Study in Shanghai
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ShinyGS—a graphical toolkit with a serial of genetic and machine learning models for genomic selection: application, benchmarking, and recommendations
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Hybrid and optimized neural network models to estimate the elastic modulus of recycled aggregate concrete
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A deep learning based automatic two-dimensional digital templating model for total knee arthroplasty
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Catholic School as a Model of Interaction Between Church and State in Italy
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Grape vine (Vitis vinifera) yield prediction using optimized weighted ensemble machine learning approach
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ToxiPep: Peptide toxicity prediction via fusion of context-aware representation and atomic-level graph
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Bayesian Optimized Enhanced Ensemble Multi-Layer Perceptron for Rear-End Collision Prediction in IoV
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