In livestock, veterinary drug residues are detected through non-destructive methods like hyperspectral imaging. One case in ...

Targeted disease treatment ... generated in abundance. Machine learning based AI can be utilized for the detection of novel cancer targets. Applications consist of classification, clustering ...

Parkinson’s disease (PD) is the second most common neurodegenerative disease, affecting some 10 million people worldwide. In ...

EDL combines the outputs of several machine learning ... are large, deep architectures. Therefore, designing appropriate EDL-based architectures to overcome the problems with AD detection is ...

and thought the company’s machine learning skills could be used to analyze eye scans, known as Optical Coherence Tomography (OCT) images. “I had the brainwave that deep learning could be ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...

“This study addresses a significant gap in photovoltaic system research by integrating sophisticated defect detection techniques with machine ... defects classification using deep learning ...