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Deep Learning in Computational Design Synthesis: A Comprehensive Review

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A Comparative Analysis of Machine Learning Models: SVM, Naïve Bayes, Random Forest, and LSTM in Predictive Analytics

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Efficient Unsupervised Dimension Reduction for Streaming Multiview Data

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Improving reference evapotranspiration estimation using novel inter-model ensemble approaches

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Forecasting the Walking Assistance Rehabilitation Level of Stroke Patients Using Artificial Intelligence

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Enhancing lithofacies machine learning predictions with gamma-ray attributes for boreholes with limited diversity of recorded well logs

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Artificial Neural Network Modeling for Predicting Organic Matter in a Full-Scale Up-Flow Anaerobic Sludge Blanket (UASB) Reactor

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Spike-driven Synaptic Plasticity for Learning Correlated Patterns of Mean Firing Rates

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