„Model-driven Engineering“
Suchergebnisse
2.102 Treffer
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Circulise4LCE, a model-driven sustainability development framework for local circular economy engineering and simulation
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Experimental data-driven neural network model for predicting RC corbel shear strength via a web-based interface
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Thermomechanical modeling-driven process parameter refinement in WC-Ni cemented carbide laser powder bed fusion
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Comparative study on data-driven prediction of overconsolidation ratio using supervised machine learning models
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Resilient dispatching optimization of power system driven by deep reinforcement learning model
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A data-driven cost estimation model for agile development based on Kolmogorov-Arnold Networks and AdamW optimization
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SDL 2017: Model-Driven Engineering for Future Internet – 18th International SDL Forum, Budapest, Hungary, October 9–11, 2017, Proceedings
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Software Technologies: Applications and Foundations – STAF 2017 Collocated Workshops, Marburg, Germany, July 17-21, 2017, Revised Selected Papers
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Graph Transformation, Specifications, and Nets – In Memory of Hartmut Ehrig
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Software Engineering for Self-Adaptive Systems III. Assurances – International Seminar, Dagstuhl Castle, Germany, December 15-19, 2013, Revised Selected and Invited Papers
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Formal Methods: Foundations and Applications – 20th Brazilian Symposium, SBMF 2017, Recife, Brazil, November 29 — December 1, 2017, Proceedings
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Building Transformation Networks for Consistent Evolution of Interrelated Models
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Data-driven Modelling of Wind Farm Flow Control Strategies
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Designing an Efficient Novel Model to Enhance NLP-Driven Blockchain Analytics by Integrating Multimodal, Sentiment, and Temporal Data
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Analysis of a mathematical model for malaria using data-driven approach
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Data-driven EV charging infrastructure with uncertainty based on a spatial–temporal flow-driven (STFD) models considering batteries
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Simulation-driven leak diagnostics in pipelines: machine learning and curve fitting-based prediction models
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A mechanism-driven failure causality modeling approach for mechanical systems combining causal ordering theory and Ishikawa diagram
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A multi-source data-driven framework for probabilistic flood risk assessment using cascade machine learning models: case study in the Sichuan Basin
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A novel data-driven model to define physical activity metrics and predict mortality in patients with chronic obstructive pulmonary disease