„Computer-aided learning (CAL)“
Suchergebnisse
1.000+ Treffer
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A novel approach for forecasting of ground vibrations resulting from blasting: modified particle swarm optimization coupled extreme learning machine
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D3SAI: a data-driven platform for measuring interfacial tension using machine learning and drop shape analysis
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DRL-MeshGen: automated block-structured mesh generation framework via deep reinforcement learning and optimal conformal mapping
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A machine-learning-based peridynamic surrogate model for characterizing deformation and failure of materials and structures
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Can past failures help identify vulnerable bridges to extreme events? A biomimetical machine learning approach
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Project VoLL-KI
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Performance of chest X-ray with computer-aided detection powered by deep learning-based artificial intelligence for tuberculosis presumptive identification during case finding in the Philippines
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Extreme learning machine assessment for estimating sediment transport in open channels
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DL-Polycube: deep learning enhanced generalized polycube method for high-quality hexahedral mesh generation and volumetric spline construction
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Enhancing productivity of helical milling of Inconel 718 by optimization with constraint learning
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Deep learning-based semi-supervised approach for high-quality 2D quadrilateral mesh deformation
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A robust methodology for dataset preparation and algorithm performance assessment in machine learning prediction of the fatigue life of additive manufactured components
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A novel technique based on the improved firefly algorithm coupled with extreme learning machine (ELM-IFF) for predicting the thermal conductivity of soil
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A machine learning based multi-scale finite element framework for nonlinear composite materials
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Reduction of computational error by optimizing SVR kernel coefficients to simulate concrete compressive strength through the use of a human learning optimization algorithm
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A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains
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An innovative smart monitoring system for DED-LB/MW process stability based on machine learning techniques
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Elementary-level intrusive coupling of machine learning for efficient mechanical analysis of variable stiffness composite laminates: a spatially-adaptive fidelity-sensitive computational framework
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Reducing spatial discretization error on coarse CFD simulations using an openFOAM-embedded deep learning framework
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Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future – Proceedings of the AHFE 2017 International Conference on Human Aspects of Advanced Manufacturing, July 17-21, 2017, The Westin Bonaventure Hotel, Los Angeles, California, USA