بدائل البحث:
learner algorithm » learning algorithm (توسيع البحث), learning algorithms (توسيع البحث), search algorithm (توسيع البحث)
each algorithm » search algorithm (توسيع البحث), means algorithm (توسيع البحث)
elements each » elements crcy (توسيع البحث), elements uce (توسيع البحث), experiments each (توسيع البحث)
level finding » novel findings (توسيع البحث), review finding (توسيع البحث), level coding (توسيع البحث)
implement » implemented (توسيع البحث), implementing (توسيع البحث)
learner algorithm » learning algorithm (توسيع البحث), learning algorithms (توسيع البحث), search algorithm (توسيع البحث)
each algorithm » search algorithm (توسيع البحث), means algorithm (توسيع البحث)
elements each » elements crcy (توسيع البحث), elements uce (توسيع البحث), experiments each (توسيع البحث)
level finding » novel findings (توسيع البحث), review finding (توسيع البحث), level coding (توسيع البحث)
implement » implemented (توسيع البحث), implementing (توسيع البحث)
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Technological Fitness and Coherence explanation. Schematic representation of the workings of the Fitness and Complexity algorithm and Coherence diversification.
منشور في 2025"…<p>In the top panel, we show the computation of the Fitness and Complexity algorithm. The Fitness of the entity <i>e</i><sub>1</sub> is the technological Complexity sum of all the technology done by <i>e</i><sub>1</sub>. …"
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The run time for each algorithm in seconds.
منشور في 2025"…We find evidence that the generalised GLS-KGR algorithm is well-suited to such time-series applications, outperforming several standard techniques on this dataset.…"
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Data Sheet 1_Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs.pdf
منشور في 2025"…</p>Results<p>In the internal validation, the Lung Abnormality and Tuberculosis models achieved an AUC of 0.94, while the Radiological Findings model yielded a mean AUC of 0.84. During the external validation, utilizing the ground truth generated by board-certified thoracic radiologists, the algorithm achieved better sensitivity in 6 out of 11 classes than physicians with varying experience levels. …"
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