„multi-frame optimization“
Suchergebnisse
1.000+ Treffer
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Semi-supervised clustering for gene-expression data in multiobjective optimization framework
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Multiobjective robust shape and topology optimization of plane frames using order statistics
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Multi-objective optimal design of braced frames using hybrid genetic and ant colony optimization
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Multilevel framework for large-scale global optimization
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A framework for simulation-based multi-objective optimization and knowledge discovery of machining process
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Assessing the challenges of digital transformation implementation in sustainable financial services using hybrid multi-criteria group decision-making framework
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Heterogeneous Optimization Framework: Reproducible Preprocessing of Multi-Spectral Clinical MRI for Neuro-Oncology Imaging Research
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Multi‐Stage Optimization of Pore Size and Shape in Pore‐Space‐Partitioned Metal–Organic Frameworks for Highly Selective and Sensitive Benzene Capture
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Multi‐Stage Optimization of Pore Size and Shape in Pore‐Space‐Partitioned Metal–Organic Frameworks for Highly Selective and Sensitive Benzene Capture
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Buckling-constrained and stress-based multi-material topology optimization framework for thermoelastic and self-weight structures
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An Allosteric Metal–Organic Framework That Exhibits Multiple Pore Configurations for the Optimization of Hydrocarbon Separation
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Time-Extended Multi-Robot Task Allocation - A Reoptimization Framework with Provable Performance
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Open-Source Public Transportation Mobility Simulation Engine DTALite-S: A Discretized Space–Time Network-Based Modeling Framework for Bridging Multi-agent Simulation and Optimization
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Dynamic flowsheet simulation of interconnected solids processes
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Advancing Multi-Objective Optimization in Cable Circuit Design Using Knowledge Graph-Based Framework
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Multi-architecture CNN Framework with MBConv-SE Optimization for Fruit Disease Classification
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An analysis of the Yutu lunar rover’s mobility performance using a multibody dynamics framework and a physics-based terramechanics model
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Multidisciplinary robust design optimization under combined parameter and surrogate model uncertainties: a new computational framework for sparse samples and extreme scenarios
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Deep Reinforcement Learning Based Distributed Optimization Framework for Optimal Power Flow in Multi-Region Power Systems
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Empowering few-shot learning: a multimodal optimization framework