IEEE

HAM10000 Skin Disease Detection And Classification Using Deep Learning

Abstract: This study uses the HAM10000 dataset to present an experimental method of classifying skin diseases using a hybrid model that combines CNN and K-Nearest Neighbours (KNN). The suggested model ...
SciELO

Precision crack analysis in concrete structures using CNN, SVM, and KNN: a machine learning ...

Cracks in structures are discontinuities that occur due to stress, material degradation, or design flaws, compromising structural integrity. Detecting and analyzing cracks is crucial for assessing ...
IEEE

Secure kNN for Distributed Cloud Environment Using Fully Homomorphic Encryption

Abstract: Privacy-preserving k-nearest neighbor (PPkNN) classification for multiple clouds enables categorizing queried data into a class in keeping with data privacy ...
Semiconductor Engineering

Using AI For Fault Detection And Classification In Manufacturing

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any product change involves significant man-hours. Even then, it still misses a lot ...