بدائل البحث:
linear optimization » lead optimization (توسيع البحث), after optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
single based » single baited (توسيع البحث), single case (توسيع البحث), single handed (توسيع البحث)
based linear » based library (توسيع البحث), best linear (توسيع البحث), wise linear (توسيع البحث)
linear optimization » lead optimization (توسيع البحث), after optimization (توسيع البحث)
based optimization » whale optimization (توسيع البحث)
single based » single baited (توسيع البحث), single case (توسيع البحث), single handed (توسيع البحث)
based linear » based library (توسيع البحث), best linear (توسيع البحث), wise linear (توسيع البحث)
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1
Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment
منشور في 2019"…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …"
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2
Flowchart of whale flock optimization algorithm.
منشور في 2024"…<i>camphora</i> growth was established using the multiple linear regression (MLR), partial least squares (PLS), support vector regression (SVR), random forest (RF), radial basis function neural network (RBFNN), back propagation neural network (BPNN), and whale optimization algorithm (WOA)-optimized BPNN models. …"
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Time(s) and GFLOPs savings of single-agent tasks.
منشور في 2025"…Subsequently, we establish optimization objectives for single-agent and multi-agents inference, incorporating cost constraints based on the IMPALA and MAPPO frameworks, respectively. …"
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6
Scores vs Skip ratios on single-agent task.
منشور في 2025"…Subsequently, we establish optimization objectives for single-agent and multi-agents inference, incorporating cost constraints based on the IMPALA and MAPPO frameworks, respectively. …"
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7
ROC curve for binary classification.
منشور في 2024"…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"
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8
Confusion matrix for binary classification.
منشور في 2024"…The study introduced a scheme for enhancing images to improve the quality of the datasets. Specifically, an image enhancement algorithm based on histogram equalization and bilateral filtering techniques was deployed to reduce noise and enhance the quality of the images. …"
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Single agent and multi-agents tasks for <i>LazyAct</i>.
منشور في 2025"…Subsequently, we establish optimization objectives for single-agent and multi-agents inference, incorporating cost constraints based on the IMPALA and MAPPO frameworks, respectively. …"
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10
A* Path-Finding Algorithm to Determine Cell Connections
منشور في 2025"…Pixel paths were classified using a z-score brightness threshold of 1.21, optimized for noise reduction and accuracy. The A* algorithm then evaluated connectivity by minimizing Euclidean distance and heuristic cost between cells. …"
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Dataset 1: Zip file containing the figures of the presented methods and results in jpeg files
منشور في 2025"…<p dir="ltr">Figures represented here illustrates the <b>metaheuristic-based band selection framework</b> for hyperspectral image classification using <b>Binary Jaya Algorithm enhanced with a mutation operator</b> to improve population diversity and avoid premature convergence. …"
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More Numerical Precision for Less Compute Cost: Optimizing a Local Correlation Algorithm for Second Order Møller–Plesset Theory and Comparing against Pair Natural Orbital Methods...
منشور في 2025"…This work reports efforts to significantly improve a recent approach to local MP2 that is based on a single numerical threshold to control accuracy versus compute cost, and the use of localized orthogonal orbitals for both occupied and virtual spaces. …"