ENSEMBLE LEARNING AND EIGENCAM-BASED FEATURE ANALYSIS FOR IMPROVING THE PERFORMANCE AND EXPLAINABILITY OF OBJECT DETECTION IN DRONE IMAGERY

Ensemble learning and EigenCAM-based feature analysis for improving the performance and explainability of object detection in drone imagery

Abstract Object Detection (OD) from drone images is a long-standing challenge due to multi-scale objects in the images.Several sophisticated and robust OD models have been proposed in the last few decades.This has significantly improved the performance of the OD task.However, these models remain highly opaque.It is challenging for humans to compreh

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Insights into the occurrence of phylosymbiosis and co-phylogeny in the holobionts of octocorals from the Mediterranean Sea and Red Sea

Abstract Background Corals are the foundational species of coral reefs and coralligenous ecosystems.Their success has been linked to symbioses with microorganisms, and a coral host and its symbionts are therefore considered a single entity, called the holobiont.This suggests that there may be evolutionary links between corals and their microbiomes.

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Four temporin-derived peptides exhibit antimicrobial and antibiofilm activities against methicillin-resistant Staphylococcus aureus

Temporin-GHa (GHa) was cloned from Hylarana guentheri, showing a weak antimicrobial activity.In order to improve its bactericidal efficacy, GHaR6R, GHaR7R, GHaR8R and GHaR9W were designed and synthesized.Compared to the parent peptide, the GHa-derived peptides show potent antimicrobial activities against methicillin-resistant Staphylococcus aureus

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