Results 41 to 50 of about 800,165 (390)
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2019 Background Crossover dilutes treatment effect and reduces statistical power of intention‐to‐treat analysis. We examined incidence and impact on cardiac surgery randomized controlled trial (RCT) outcomes of crossover from experimental to control ...
Mario Gaudino +9 more
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TERMA Framework for Biomedical Signal Analysis: An Economic-Inspired Approach
Biosensors, 2016 Biomedical signals contain features that represent physiological events, and each of these events has peaks. The analysis of biomedical signals for monitoring or diagnosing diseases requires the detection of these peaks, making event detection a crucial ...
Mohamed Elgendi
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Transatlantica, 2021 Our article analyses Michael Jackson’s artistic production, through marketing, stylistic and visual aspects, targeting racial dynamics and tensions which invigorate its narrative layers. The first part is about the colorist charts, the ubiquitous posture
Isabelle Stegner-Petitjean
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Correcting Instruction Expression Logic Errors with GenExp: A Genetic Programming Solution [PDF]
Computer Science Journal of Moldova, 2023 Correcting logical errors in a program is not simple even with the availability of an error locating tool. In this article, we introduce GenExp, a genetic programming approach to automate the task of repairing instruction expressions from logical errors.
Mohammed Bekkouche
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The Effect of Distinct Geometric Semantic Crossover Operators in Regression Problems [PDF]
, 2015 This paper investigates the impact of geometric semantic crossover operators in a wide range of symbolic regression problems. First, it analyses the impact of using Manhattan and Euclidean distance geometric semantic crossovers in the learning process ...
Albinati, Julio +3 more
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FPGA Implementation of Crossover Module of Genetic Algorithm
Information, 2019 This paper proposes a hardware realization of the crossover module in the genetic algorithm for the travelling salesman problem (TSP). In order to enhance performance, we employ a combination of pipelining and parallelization with a genetic algorithm (GA)
Narges Attarmoghaddam +2 more
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Research on image segmentation technology based on genetic algorithms
Dianzi Jishu Yingyong, 2019 The purpose of this paper is to use genetic algorithm(GA) to process image with bottom noise, and the processing effect is improved through the improvement of GA.
An Ting
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Optimal and efficient crossover designs for comparing test treatments with a control treatment
, 2005 This paper deals exclusively with crossover designs for the purpose of comparing t test treatments with a control treatment when the number of periods is no larger than t+1. Among other results it specifies sufficient conditions for a crossover design to
Hedayat, A. S., Yang, Min
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Phase Transitions and Symmetry Breaking in Genetic Algorithms with Crossover [PDF]
, 2006 In this paper, we consider the role of the crossover operator in genetic algorithms. Specifically, we study optimisation problems that exhibit many local optima and consider how crossover affects the rate at which the population breaks the symmetry of ...
Jennings, N. R. +2 more
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Crossover scaling in two dimensions
, 1997 We determine the scaling functions describing the crossover from Ising-like critical behavior to classical critical behavior in two-dimensional systems with a variable interaction range.
Binder, Kurt +2 more
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