Arsenazo-DBN

The liver segmentation in CT scan images is a significant step toward the development of a quantitative biomarker for computer… Expand

Nonlinear system modeling plays an important role in practical engineering, and deep learning-based deep belief network (DBN) is… Expand

Object Pathologic prediction of prostate cancer can be made by predicting the patient's prostate metastasis prior to surgery… Expand

In this paper, we propose an intelligent cognitive radar system for detecting and classifying the micro unmanned aerial systems… Expand

Deep Belief Network (DBN) is made up of stacked Restricted Boltzmann Machine layers associated with global weight fine-tuning for… Expand

The vibration signal of hydraulic system contains abundant state information, so vibration testing technology is an effective way… Expand

Obtaining compact and discriminative features is one of the major challenges in many of the real-world image classification tasks… Expand

We describe how to train a two-layer convolutional Deep Belief Network (DBN) on the 1.6 million tiny images dataset. When… Expand

[1] With large volumes of data arriving in near real time from environmental sensors, there is a need for automated detection of… Expand

approach of design at first glance. But there is just as in design the possibility to deal with larger constructs abstractly… Expand