Titlebook: Intracranial Pressure VIII; Proceedings of the 8 C. J. J. Avezaat,J. H. M. Eijndhoven,J. Th. J. Tan Conference proceedings 1993 Springer-Ve

Innocence

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Social-Spider Algorithm for Constrained Optimization,titioners. In this chapter, a novel swarm algorithm called the Social Spider Optimization (SSO-C) is presented for solving constrained optimization tasks. The SSO-C algorithm is based on the simulation of cooperative behavior of social-spiders. In the presented algorithm, individuals emulate a group

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Optimization-Based Uncertainty Attribution Via Learning Informative Perturbations,ing UA methods, we formulate UA as an optimization problem to learn a binary mask on the input. The learned mask identifies regions that significantly contribute to output uncertainty and allows uncertainty reduction through learning informative perturbations on the masked input. Our method enhances

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Reducing Manipulation Overhead of Remote Data-Structure by Controlling Remote Memory Access Ordere communication primitives of ACP include remote-to-remote data transfer and atomic operations. The reference implementation of communication primitives of ACP uses connectionless sockets over UDP and agent threads. The remote-to-remote data transfer is implemented as a protocol. The ACP data librar

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Mars Entry Trajectory Optimization with Desensitized Optimal Controlol (DOC) methodology and Direct Collocation and Nonlinear Programming (DCNLP). The final height and the state sensitivities are simultaneously included into the weighted performance index. Monte Carlo simulations show that the optimization algorithm developed in this paper can effectively reduce the

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2190-5053 es a comprehensive summary of the ATLAS detector performance.The work presented in this book is based on the proton-proton collision data from the Large Hadron Collider at a centre-of-mass energy of 13 TeV recorded by the ATLAS detector in 2015 and 2016. The research program of the ATLAS experiment

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