Browsing by Subject "Transfer Learning"
Now showing items 1-4 of 4
-
(2023-08-03)Geological carbon storage (GCS) is a crucial technique for the mitigation of anthropogenic carbon dioxide (CO2) emissions into the atmosphere. Despite its potential, GCS presents numerous risks, including leakage risks and ...
-
(2020-04-21)The primary objective of this project is to use a neural network (deep learning) model that will be trained on datasets of human cells in mitosis and then apply it on animal cells using transfer learning techniques. The ...
-
(2019-06-12)Machine learning methods and algorithms working under the assumption of identically and independently distributed (i.i.d.) data cannot be applicable when dealing with massive data collected from different sources or by ...
-
(2023-05-02)Computer vision and image processing algorithms work well under strong conditions. Unexpected computer vision results may harm pipeline modules, reducing solution efficacy. A predictor framework that was simultaneously ...