„multi-frame optimization“
Suchergebnisse
372 Treffer
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A total variation global optimization framework and its application on infrared and visible image fusion
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Single and multi-objective optimization of steel moment-resisting frame buildings under vehicle impact using evolutionary algorithms
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Tumor bagging: a novel framework for brain tumor segmentation using metaheuristic optimization algorithms
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Refugee migration networks and regulations: a multiclass, multipath variational inequality framework
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A Holistic Approach to Ship Design – Volume 2: Application Case Studies
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Optimization framework and applications of training multi-state influence nets
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Multi-objective Mathematical Programming Framework for Integrated Oil Sands Mine Planning and Tailings Disposal Optimization
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A new framework of multi-objective BELBIC for seismic control of smart base-isolated structures equipped with MR dampers
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Multiobjective semisupervised learning with a right‐censored endpoint adapted to the multiple imputation framework
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Simultaneous shape and topology optimization method for frame structures with multi-materials
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Optimization of virtual orbitals in the framework of a multiconfiguration spin-coupled wave function
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An improved surveillance video synopsis framework: a HSATLBO optimization approach
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OpenMDAO: an open-source framework for multidisciplinary design, analysis, and optimization
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A novel two-stage constraints handling framework for real-world multi-constrained multi-objective optimization problem based on evolutionary algorithm
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Multiobjective Optimization of Beam Structure for Bogie Frame Considering Fatigue-Life Extension
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Two-stage multi-tasking transform framework for large-scale many-objective optimization problems
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Simulation of steel–concrete composite floor system behavior at elevated temperatures via multi-hybrid metaheuristic framework
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A Two-phase evolutionary algorithm framework for multi-objective optimization
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A Hybrid of Firefly and Biogeography-Based Optimization Algorithms for Optimal Design of Steel Frames
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Constrained multi-fidelity surrogate framework using Bayesian optimization with non-intrusive reduced-order basis