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Application of machine learning in the structural design process of bascule bridges: Using an artificial neural network to generate structural bascule bridge designs in Grasshopper
Cost Estimation for Factorized Machine Learning
Machine Learning Aided Reliability Analysis for Spatially Varying Slopes in 2D and 3D
Automated Detection of Patient-Ventilator Asynchrony in Mechanically Ventilated Patients
A Domain Decompositionbased CNN Architecture for High-Resolution Image Segmentation
Interactive Intelligence: Multimodal AI for Real-Time Interaction Loop towards Attentive E-Reading
Clustering Learning Curves in Machine Learning using K-Means Algorithm: Can patterns be identified amongst learning curves after the application of the K-Means algorithm using point and statistical vectors?
Learning Curve Extrapolation using Machine Learning: Benefits and Limitations of using LCPFN for Learning Curve Extrapolation
Corrosion classification through deep learning of electrochemical noise time-frequency transient information
Integrating geospatial, remote sensing, and machine learning for climate-induced forest fire susceptibility mapping in Similipal Tiger Reserve, India
Machine learning in process systems engineering: Challenges and opportunities
Quantifying the heterogeneous impacts of the urban built environment on traffic carbon emissions: New insights from machine learning techniques
Impact of calibrating a low-cost capacitance-based soil moisture sensor on AquaCrop model performance
Predictive machine learning in earth pressure balanced tunnelling for main drive torque estimation of tunnel boring machines
A multi-step fast charging-based battery capacity estimation framework of real-world electric vehicles
Advancing railway track health monitoring: Integrating GPR, InSAR and machine learning for enhanced asset management
Prediction of soil compaction parameters through the development and experimental validation of Gaussian process regression models
An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study
A review on machine learning in flexible surgical and interventional robots: Where we are and where we are going
Artificial intelligence combined with high-throughput calculations to improve the corrosion resistance of AlMgZn alloy
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