Since the product of complex numbers and rectangular fuzzy (RFCN) is not necessarily a RFCN in former linear system (FCLS), scalar multiplication addition operations (FCN) based on new representation FCN are proposed. We also introduce method for solving FCLS, which can convert FCLS into two distinct systems. One an n×n system, other (mn)×(mn) real where n number unknown variables, m substituti...

• We use three popular CNN models: VGG16, VGG19 and AlexNet. • To limit rescaling, the last pooling stage is removed and the stride of the last but one pooling layer is decreased. • We take feature maps at three different locations of the FCN, and concatenate them to form a single tensor. • A 3 x 3 convolutional layer learns 64 saliency-specific feature maps, then a 1 x 1 convolution learns to ...

The integration of conventional clothes with flexible electronics is a promising solution as future?generation computing platform. However, the problem user authentication on this novel platform still underexplored. This work uses sensors to track human posture and achieves goal authentication. We capture movement pattern by four stretch around shoulder one elbow. introduce long short?term memo...

Community-acquired pneumonia (CAP) is the leading infectious disease requiring hospitalization in the western world. Genetic variability affecting the host response to infection may play a role in susceptibility and outcome in patients with CAP. Mannose-binding lectin (MBL) and l-ficolin (l-FCN) are two important activators of the complement system and they can enhance phagocytosis by opsonizat...

Recently, convolutional neural networks (CNNs) trained with strong human supervision have shown to achieve state of the art performance for both road detection and semantic segmentation. However, collecting strongly labeled data for both require detailed per-pixel annotations from humans which renders data annotation highly costly and time consuming. Therefore, in this work we propose methods t...

The effect of alkanoic acid [CH(3)(CH(2))(n-2)COOH; HCn] and perfluoroalkanoic acid [CF(3)(CF(2))(n-2)COOH; FCn] monolayers on the water evaporation rate was investigated by thermogravimetry tracing the decrease in amount of water with time. The evaporation rate from the surface covered by a monolayer was measured as a function of temperature and hydrophobic chain length of the acids, where the...

Recent work has made significant progress in improving spatial resolution for pixelwise labeling with Fully Convolutional Network (FCN) framework by employing Dilated/Atrous convolution, utilizing multi-scale features and refining boundaries. In this paper, we explore the impact of global contextual information in semantic segmentation by introducing the Context Encoding Module, which captures ...

Image segmentation is a fundamental problem in biomedical image analysis. Recent advances in deep learning have achieved promising results on many biomedical image segmentation benchmarks. However, due to large variations in biomedical images (different modalities, image settings, objects, noise, etc), to utilize deep learning on a new application, it usually needs a new set of training data. T...

We propose a novel fully convolutional network architecture for shapes, denoted by Shape Fully Convolutional Networks (SFCN). 3D shapes are represented as graph structures in the SFCN architecture, based on novel graph convolution and pooling operations, which are similar to convolution and pooling operations used on images. Meanwhile, to build our SFCN architecture in the original image segmen...

Segmentation and quantification of white matter hyperintensities (WMHs) are of great importance in studying and understanding various neurological and geriatric disorders. Although automatic methods have been proposed for WMH segmentation on magnetic resonance imaging (MRI), manual corrections are often necessary to achieve clinically practical results. Major challenges for WMH segmentation ste...