بدائل البحث:
selection algorithm » detection algorithm (توسيع البحث), detection algorithms (توسيع البحث), prediction algorithms (توسيع البحث)
error selection » error detection (توسيع البحث), mentor selection (توسيع البحث), error reduction (توسيع البحث)
selection algorithm » detection algorithm (توسيع البحث), detection algorithms (توسيع البحث), prediction algorithms (توسيع البحث)
error selection » error detection (توسيع البحث), mentor selection (توسيع البحث), error reduction (توسيع البحث)
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Simulated and Field-Based Error Characterisation of Animal Geolocalisation and Relative Positioning via Commercial Drones
منشور في 2025"…The characterisation has first been done qualitatively in a simulated experiment, where the contributions of various error sources have been studied. The localisation algorithm has then been deployed at Ol Pejeta Conservancy (Kenya) on a commercial-off-the-shelf platform (DJI Mavic 3T) observing wild animals. …"
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Results of machine learning for hub gene selection.
منشور في 2025"…(D) The top 10 hub genes in the RF algorithm ranked by two types of importance. (E) Venn diagram illustrated the intersection of hub genes identified by LASSO and RF selection. …"
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Classification baseline performance.
منشور في 2025"…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …"
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ANOVA test result.
منشور في 2025"…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …"
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Summary of literature review.
منشور في 2025"…Further integrate the binary variant of OcOA (bOcOA) for effective feature selection, which reduces the average classification error to 0.4237 and increases CNN accuracy to 93.48%. …"
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Minimizing fuzzy goal.
منشور في 2025"…In the first stage, the pharmaceutical industry data collected from the Tehran Stock Exchange (TSE) website is used to apply the robust ratio data envelopment analysis (RR-DEA) in GAMS software with respect to some specific financial indicators to determine efficient stocks in conditions of data uncertainty. These selected stocks are then moved to the second stage, where the ANFIS algorithm is employed in MATLAB to predict the final closing prices and calculate the prediction error (RMSE). …"