In this work, we study the realization and bifurcation of Boolean functions of four variables via a Cellular Neural Network (CNN). We characterize the basic relations between the genes and the offsets of an uncoupled CNN as well as the basis of the binary input vectors set. Based on the analysis, we have rigorously proved that there are exactly 1882 linearly separable Boolean functions of four ...

Automatic crowd behaviour analysis is an important task for intelligent transportation systems to enable effective flow control and dynamic route planning varying road participants. Crowd counting one of the keys automatic analysis. using deep convolutional neural networks (CNN) has achieved encouraging progress in recent years. Researchers have devoted much effort design variant CNN architectu...

Creating machines that behave and work in a way similar to humans is the objective of artificial intelligence (AI). In addition pattern recognition, planning, problem-solving, computer activities with include other activities. A group algorithms called “deep learning” used machine learning. With aid magnetic resonance imaging (MRI), deep learning utilized create models for detection categorizat...

Cellular Neural Networks (CNN) [1] were introduced by Chua and Yang in 1988. The idea of the CNN was inspired from the architecture of the cellular automata and the neural networks. Unlike the conventional neural networks, the CNN has local connectivity property. Since the structure of the CNN resembles the structure of animals’ retina, the CNN can be used for various image processing applicati...

BACKGROUND AND AIMS The role of artificial intelligence in the diagnosis of Helicobacter pylori gastritis based on endoscopic images has not been evaluated. We constructed a convolutional neural network (CNN), and evaluated its ability to diagnose H. pylori infection. METHODS A 22-layer, deep CNN was pre-trained and fine-tuned on a dataset of 32,208 images either positive or negative for H. p...

Manufacturing, one of the most valuable industries in world, is boundlessly automatable yet still quite stuck traditionally manual and slow processes. Industry 4.0 racing to define a new era digital manufacturing through Internet Things- (IoT-) connected machines factory systems, fully comprehensive data gathering, seamless implementation data-driven decision-making action taking. Both academia...

The Drosophila Centrosomin (Cnn) protein is an essential core component of centrosomes in the early embryo. We have expressed a Cnn-GFP fusion construct in cleavage stage embryos, which rescues the maternal effect lethality of cnn mutant animals. The localization patterns seen with GFP-Cnn are identical to the patterns we see by immunofluorescent staining with anti-Cnn antibodies. Live imaging ...

A prolific nucleator program n studies of Drosophila cells, aurora-A kinase and centrosomin (CNN) are sometimes used as markers for centrosomes, but, other than their localization, relatively little is known about these proteins. On page 757, Terada et al. show that aurora-A and CNN must physically interact to be translocated to the centro-some, and, once there, CNN acts as a powerful microtubu...

In this supplementary material, we provide more implementation details including the architectures and training settings of baseline models and PEARL. We also present the experimental results and analysis of PEARL on Camvid dataset, as well as more qualitative evaluations of PEARL. 1. Implementation Details Since the class distribution is extremely unbalanced in video scene parsing, we increase...