Deep Learning (DL) has recently become a topic of study in different applications including
healthcare, in which timely detection of anomalies on Electrocardiogram (ECG) can play a …

Flash floods are responsible for loss of life and considerable property damage in many
countries. Flood susceptibility maps contribute to flood risk reduction in areas that are prone …

Nowadays, this is very popular to use the deep architectures in machine learning. Deep
Belief Networks (DBNs) are deep architectures that use stack of Restricted Boltzmann …

This paper introduces a new deep-learning algorithm of deep belief network (DBN) based
on an extreme learning machine (ELM) that is structured by back propagation (BN) and …

Cancer is one of the leading causes of morbidity and mortality worldwide with increasing
prevalence. Breast cancer is the most common type among women, and its early diagnosis …

Reliable flash flood susceptibility maps are a vital tool for land planners and emergency
management officials for early flood warning and mitigation. We have developed a new …

Early detection of Alzheimer's disease (AD) is the key of preventing, slowing, and stopping
the disease. An early detection of AD can be performed by analyzing the neuro-imaging …

Slewing bearing is one of critical transmission in wind turbine and shield machine
withstanding low-speed and heavy-load working condition. Fault recognition is crucial to …

Recently, deep learning is proliferating in the field of representation learning. A deep belief
network (DBN) consists of a deep network architecture that can generate multiple features of …

We propose an algorithm that provides a pixel-wise classification of building facades.
Building facades provide a rich environment for testing semantic segmentation techniques …