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121
Trial-based dominance for comparing both the speed and accuracy of stochastic optimizers with standard non-parametric tests
Published 2023“…This paper describes how trial-based dominance can totally order this two-variable dataset of outcomes so that traditional non-parametric methods can determine the better of two algorithms when one is faster, but less accurate than the other, i.e. when neither algorithm dominates. …”
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122
Spider monkey optimizations: application review and results
Published 2024“…Optimization algorithms are applied to find efficient solutions in different problems in several fields such as the routing in wireless networks, cloud computing, big data, image processing and scheduling, and so forth. …”
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123
Competitive learning/reflected residual vector quantization for coding angiogram images
Published 2003“…It was found that it has a higher probability to diverge when used with nonGaussian and nonLaplacian image sources such as angiogram images. By employing competitive learning neural network in the codebook design process, we tried to obtain a stable and convergent algorithm. …”
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124
Implementation of trust region methods in optimization. (c1998)
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masterThesis -
125
Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements
Published 2023“…The CPR method is one of the most established techniques for reservoir simulations, but most research focused on solutions for Two-Point Flux Approximation (TPFA)-based discretizations that do not readily extend to our problem formulation. …”
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126
Enhanced PSO-Based NN for Failures Detection in Uncertain Wind Energy Systems
Published 2023“…The last retained features from the proposed PSO-based methods are fed to the neural network (NN) classifier. …”
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127
Large-scale annotation dataset for fetal head biometry in ultrasound images
Published 2023“…It is also compatible with multiple medical imaging software and deep learning frameworks. The reliability of the annotations is verified through a two-step validation process involving a Senior Attending Physician and a Radiologic Technologist. …”
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Recent Advances of Chimp Optimization Algorithm: Variants and Applications
Published 2023“…The applications belong to the domains of economics, image processing, engineering, neural network, power and energy, networks, etc. …”
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130
Data reductions and combinatorial bounds for improved approximation algorithms
Published 2016“…Kernelization algorithms in the context of Parameterized Complexity are often based on a combination of data reduction rules and combinatorial insights. …”
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131
A novel linear time corner detection algorithm
Published 2005“…We have presented a novel scheme for detecting corners of a planner object SRM05. The core of the algorithm is based upon slope analysis. The complexity of our algorithm is linear. …”
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132
A neural networks algorithm for data path synthesis
Published 2003“…The algorithm is driven by a motion equation that determines the neurons firing conditions based on the modified Hopfield neural network model of computation. …”
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133
A direct algorithm for the parameterized face cover problem
Published 2017“…Recent improvements to face cover algorithms are based on the theory of fixed-parameter tractability and reductions to planar dominating set. …”
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conferenceObject -
134
FPGA-based Parallel Hardware Architecture for Real-time Object Classification
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doctoralThesis -
135
A genetic algorithm approach for regrouping service sites
Published 2004“…We propose a two-phase method, based on a weighted-graph problem formulation, for providing good suboptimal solutions. …”
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A Stochastic Newton-Raphson Method with Noisy Function Measurements
Published 2016“…This article proposes a novel recursive algorithm providing optimal iterative-varying gains associated with the NR method. …”
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138
A method for data path synthesis using neural networks
Published 2017“…The method is based on the modified Hopfield neural network model of computation and the McCulloch-Pitts binary neuron model. …”
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conferenceObject -
139
Parallel Algorithms for Distinguishing Nondeterministic Finite State Machines
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doctoralThesis -
140
Optimizing Document Classification: Unleashing the Power of Genetic Algorithms
Published 2023“…Consequently, scholars have begun to focus on document classification problem, offering various methods to address this issue. Researchers have utilized diverse data sources, such as citations, metadata, content, and hybrids, in their approaches.In these sources, the meta-data-based approach stands out for research paper classification due to its availability at no cost. …”