بدائل البحث:
streams optimization » stress optimization (توسيع البحث), surface optimization (توسيع البحث), step optimization (توسيع البحث)
cost optimization » dose optimization (توسيع البحث), robust optimization (توسيع البحث), codon optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data cost » data code (توسيع البحث)
streams optimization » stress optimization (توسيع البحث), surface optimization (توسيع البحث), step optimization (توسيع البحث)
cost optimization » dose optimization (توسيع البحث), robust optimization (توسيع البحث), codon optimization (توسيع البحث)
binary data » primary data (توسيع البحث), dietary data (توسيع البحث)
data cost » data code (توسيع البحث)
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Small-scale dataset comparative analysis using the number of features selected.
منشور في 2023الموضوعات: -
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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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Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity
منشور في 2019"…Adopting metagenomic analysis for clinical use requires that all aspects of the workflow are optimized and tested, including data analysis and computational time and resources. …"
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Event-driven data flow processing.
منشور في 2025"…Subsequently, we implement an optimal binary tree decision-making algorithm, grounded in dynamic programming, to achieve precise allocation of elastic resources within data streams, significantly bolstering resource utilization. …"
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Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment
منشور في 2019"…In consideration of the hardware costs, time, performance and accuracy, the algorithm is superior to mainstream classification algorithms, such as the power mean SVM and convolutional neural network (CNN). …"
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Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf
منشور في 2024"…Next, a hybrid feature extraction approach is presented leveraging transfer learning from selected deep neural network models, InceptionV3 and DenseNet201, to extract comprehensive feature sets. To optimize feature selection, a customized binary Grey Wolf Algorithm is utilized, achieving an impressive 80% reduction in feature size while preserving key discriminative information. …"
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Contextual Dynamic Pricing with Strategic Buyers
منشور في 2024"…In this process, buyers can also strategically manipulate their feature data to obtain a lower price, incurring certain manipulation costs. …"
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Confusion matrix.
منشور في 2025"…Subsequently, we implement an optimal binary tree decision-making algorithm, grounded in dynamic programming, to achieve precise allocation of elastic resources within data streams, significantly bolstering resource utilization. …"
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Parameter settings.
منشور في 2025"…Subsequently, we implement an optimal binary tree decision-making algorithm, grounded in dynamic programming, to achieve precise allocation of elastic resources within data streams, significantly bolstering resource utilization. …"
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Dynamic resource allocation process.
منشور في 2025"…Subsequently, we implement an optimal binary tree decision-making algorithm, grounded in dynamic programming, to achieve precise allocation of elastic resources within data streams, significantly bolstering resource utilization. …"
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Seed mix selection model
منشور في 2022"…The genetic algorithm then operated over 1000 iterations, applying crossover and mutation processes to optimize bee richness. …"