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

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 ...

my gradated project was to develop a Wi-Fi RSSI-based indoor tracking system using the KNN algorithm, achieving a 2–3-meter accuracy in real-time location estimation. Here's a breakdown of how ...

scientists used a range of algorithms and Computer-Aided Diagnosis (CAD) instrument. Classification is important to consider determining and detecting the type of cancer in images. The last CNN output ...

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