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Short term solar energy prediction by machine learning algorithms
Smooth power generation from solar stations demand accurate, reliable and efficient forecast of solar energy for optimal integration to cater market demand; however, the implicit instability of solar energy production may cause serious problems for the smooth power generation.
Deep Object Detection based Mitosis Analysis in Breast Cancer Histopathological Images
These challenges undermine the precision of the automated detection model and thus make detection difficult in a single phase.
Deep Belief Networks Based Feature Generation and Regression for Predicting Wind Power
It is experimentally shown that the deep learning and unsupervised pre-training capabilities of DBN based model has comparable and in some cases better results than hybrid and complex learning techniques proposed for wind power prediction.
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