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Deep learning and machine learning-based prediction of capillary water absorption of hybrid fiber reinforced self-compacting concrete
(2022)
Deep auto-encoders and long short-term memory methodology (LSTM) basedon deep learning as well as support vector regression (SVR) and k-nearestneighbors (kNN) based on machine learning models for the capillary waterabsorption ...
Automatic detection of keratoconus on Pentacam images using feature selection based on deep learning
(wıley, 2022)
Today, corneal refraction, height, and thickness data, which are required in the diagnosis of keratoconus, can be obtained with corneal tomography devices. Pentacam four map display presenting this data is one of the most ...