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element finding » filament winding (Expand Search)
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element finding » filament winding (Expand Search)
using algorithm » cosine algorithm (Expand Search)
data algorithm » jaya algorithm (Expand Search), deer algorithm (Expand Search)
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Intelligent Rapidly-Exploring Random Tree Star Algorithm
Published 2024Get full text
doctoralThesis -
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Localizing-ground Transmitters Using Airborne Antenna Array
Published 2020Get full text
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Automatic image quality evaluation in digital radiography using for‐processing and for‐presentation images
Published 2024“…Images with various exposure parameters were acquired with a digital radiography unit, which for each acquisition produces two images: one for‐processing (raw) and one for‐presentation (clinical). Various examination protocols were used, which incorporate diverse post‐processing algorithms. …”
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Brain Source Localization in the Presence of Leadfield Perturbations
Published 2015Get full text
doctoralThesis -
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Bird’s Eye View feature selection for high-dimensional data
Published 2023“…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …”
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Capturing outline of fonts using genetic algorithm and splines
Published 2001“…Hence, it is very difficult to obtain a global optima. We present a method to convert the original problem into a discrete combinatorial optimization problem and solve it by a genetic algorithm. …”
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Optimal VAR Dispatch Using a Multiobjective Evolutionary Algorithm
Published 2005Get full text
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A method for the minimum coloring problem using genetic algorithms
Published 2006“…This paper presents a method to solve the graph coloring problem for arbitrary graphs using genetic algorithms. …”
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An incremental approach for test scheduling and synthesis using genetic algorithms
Published 2017“…This paper presents a new and an efficient method for concurrent BIST synthesis and test scheduling. …”
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Concurrent BIST Synthesis and Test Scheduling Using Genetic Algorithms
Published 2007“…This paper presents an efficient method for concurrent built-in self-test synthesis and test scheduling in high-level synthesis. …”
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A method for test scheduling using an evolutionary approach. (c2000)
Published 2000Get full text
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A Neural Networks Algorithm for the Minimum Colouring Problem Using FPGAs†
Published 2010“…This paper presents a hardware implementation to solve the graph colouring problem (chromatic number χ(G)) for arbitrary graphs using the Hopfield neural network (HNN) model of computation. …”
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Using Machine Learning Algorithms to Forecast Solar Energy Power Output
Published 2025“…<p dir="ltr">Solar energy is an inherently variable energy resource, and the ensuing uncertainty in matching energy demand presents a challenge in its operational use as an alternative energy source. …”