Search alternatives:
compared optimization » competing optimization (Expand Search), based optimization (Expand Search), convex optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
based compared » cases compared (Expand Search), care compared (Expand Search), ad compared (Expand Search)
image model » damage model (Expand Search), primate model (Expand Search), climate model (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
compared optimization » competing optimization (Expand Search), based optimization (Expand Search), convex optimization (Expand Search)
model optimization » codon optimization (Expand Search), global optimization (Expand Search), based optimization (Expand Search)
based compared » cases compared (Expand Search), care compared (Expand Search), ad compared (Expand Search)
image model » damage model (Expand Search), primate model (Expand Search), climate model (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
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Hyperparameter search space used in the optimization of the Basic DeepInsight-CNN.
Published 2023Subjects: -
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ROC curve for binary classification.
Published 2024“…To achieve this, we focused the study on addressing the challenge of image noise, which impacts the performance of deep learning models. …”
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Confusion matrix for binary classification.
Published 2024“…To achieve this, we focused the study on addressing the challenge of image noise, which impacts the performance of deep learning models. …”
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Algorithm of the PbGA search for the optimal PbF.
Published 2024“…<div><p>The PbGA-DDPG algorithm, which uses a potential-based GA-optimized reward shaping function, is a versatiledeep reinforcement learning/DRLagent that can control a vehicle in a complex environment without prior knowledge. …”
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A* Path-Finding Algorithm to Determine Cell Connections
Published 2025“…Future work aims to generalize this algorithm for broader biological applications by training additional Cellpose models and adapting the A* framework.…”
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Flow chart of particle swarm algorithm.
Published 2024“…</p><p>Method</p><p>In this paper, a deep fusion model based on whale optimization and an artificial neural network for Arabian date classification is proposed. …”
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Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement
Published 2019“…The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. …”
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General procedural flow of clustering algorithm.
Published 2024“…The results show that AVOCA generates 40% less clusters when compared to the Clustering Algorithm Based on Moth-Flame Optimization for VANETs (CAMONET). …”
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Optimal ALARM BN discovered by CausNet.
Published 2025“…On a personal computer with a 2.3 GHz Intel Core i9 processor with 16 GB RAM, each processing takes less than five minutes. Our ‘partial generational orderings’ based method CausNet-partial is an efficient and scalable method for finding optimal sparse and small Bayesian networks from high dimensional data.…”
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Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm
Published 2025“…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …”
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Optimal cluster head approach.
Published 2024“…The results show that AVOCA generates 40% less clusters when compared to the Clustering Algorithm Based on Moth-Flame Optimization for VANETs (CAMONET). …”
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Optimal cluster formation approach.
Published 2024“…The results show that AVOCA generates 40% less clusters when compared to the Clustering Algorithm Based on Moth-Flame Optimization for VANETs (CAMONET). …”
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The Derivation of a Matched Molecular Pairs Based ADME/Tox Knowledge Base for Compound Optimization
Published 2020“…We include details of an MMP fragmentation algorithm with associated statistical summarization methods for the derivation of Transforms. …”