A similarity-based predictive scheduling method for dynamic electric vehicle charging load management. [PDF]
Sci RepFirouzjah KG, Ghasemi J.
europepmc +1 more source
Human-Inspired Dexterity-Oriented Perception and Trajectory Optimization for Robotic Surface Inspection. [PDF]
Biomimetics (Basel)Zou M, Tong Y, Yang T, Zhang Z.
europepmc +1 more source
Feature selection based index tracking: A two-stage approach for optimized sampling
Applied Soft ComputingThomas Robert Holy +2 more
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Evolutionarily Optimized Multi-Scale Gabor Modeling of Directional Lesion Texture in Dermoscopic Images for Interpretable Melanoma Classification. [PDF]
Diagnostics (Basel)Santiago-Montero R +6 more
europepmc +1 more source
A two-stage approach for VMAT treatment plan optimization [PDF]
2013 IEEE International Conference on Automation Science and Engineering (CASE), 2013 In this paper we study the optimization problem for the radiation treatment planning of Volumetric-Modulated Arc Therapy (VMAT). Considering dose rate and MLC leafs as decision variables, we formulate the problem as nonlinear integer programming problem, which is very difficult to solve. A two-stage approach is proposed to tackle it, where in the first
Bofei Sun +3 more
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An extended Two-Stage Sequential Optimization approach: Properties and performance
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Simulation approach to two-stage bond portfolio optimization problem [PDF]
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A variational approach to optimal two‐stage designs
Statistics in Medicine, 2019Recalculating the sample size in adaptive two‐stage designs is a well‐established method to gain flexibility in a clinical trial. Jennison and Turnbull (2015) proposed an “optimal” adaptive two‐stage design based on the inverse normal combination test, which minimizes a mixed criterion of expected sample size under the alternative and conditional power.
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