Working up with deep learning techniques requires profound understanding of the
mechanisms underlying the optimization of the internal parameters of complex structures …

Parkinson disease occurs when certain clustersof brain cells are unable to generate
dopamine which is needed to regulate thenumber of the motor and non-motor activity of the …

Recently, the demand for human activity recognition has become more and more urgent. It is
widely used in indoor positioning, medical monitoring, safe driving, etc. Existing activity …

Improving the classification performance of Deep Neural Networks (DNN) is of primary
interest in many different areas of science and technology involving the use of DNN …

In this study, a deep neural network classifier is proposed for the classification of coronary
artery disease medical data sets. The proposed classifier is tested on reference CAD data …

Network security situational assessment, the core task of network security situational
awareness, can obtain security situation by comprehensively analyzing various factors that …

Magnetic induction tomography (MIT) is a non-invasive and non-contact imaging method
that uses an excitation coil to generate time-varying magnetic fields in space and reconstruct …

Melanoma is a serious cancer that causes many people to lose their lives. This disease can
be diagnosed by a dermatologist as a result of interpretation of the dermoscopy images by …

Human activity recognition (HAR) is the object of interest for many researchers in machine
learning. In principle, providing accurate and reasonable information on an individual's …

In this paper, we propose a novel Deep Auto-Encoders Ensemble model (DAEE) through
assembling multiple deep network models with different activation functions. The hidden …