A study by the universities of Cordoba and Seville develops a method that makes it possible to verify, easily and quickly, ...

“We identified, categorized, and discussed automatic defect inspection algorithms that analyze scanning electron microscopy (SEM) images for semiconductor manufacturing (SM). This is a topic of ...

This paper introduces an innovative LDH classification framework utilizing nearest-neighbor dual-path contrastive learning, integrating global and local feature learning to improve lumbar MRI image ...

The watershed algorithm (WA) was employed for individual tree segmentation in the study. WA is an image segmentation algorithm that ... objects cannot be fully preserved in tree species classification ...

alongside an innovative classification system based on the FastText algorithm. By combining these techniques with an emphasis on recall ratio, we can test the efficacy of each level of the database ...

Kaizen rethinks cell segmentation by mimicking brain predictions. Using an iterative machine-learning approach to refine boundaries in crowded microscopy images, it enhances accuracy in tissue studies ...

In this project, I am trying to explain KNN in a simplified manner. The training data contains a list of person's age, height, and their corresponding liking towards milk. Here we take age and height ...

C-T-P, compound-target-pathway; DL, drug-likeness; GO, gene ontology; OB, oral bioavailability; PPI, protein-protein interaction; RA, rheumatoid arthritis; TCMSP, Traditional Chinese Medicine ...

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