Deep Convolutional Neural Networks (CNNs), such as Dense Network (DenseNet), have achieved great success for image representation learning by capturing deep hierarchical features. However, most existing network architectures of simply stacking the convolutional layers fail to enable them fully discover local and global feature information between layers. In this paper, we mainly investigate how...

The growing population and increasing socio-economic necessities creates a pressure on land use/land cover. Nowadays, land use change detection using remote sensing data provides quantitative and timely information for management and evaluation of natural resources. This study investigates the land use changes in part of Hableh Rood Watershed of Iran using Landsat 7 and 8 (Sensor ETM+ and OLI) ...

1. Universidade Federal Fluminense, Niterói, Brasil. 2. Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brasil. 3. Faculdade de Medicina de Petrópolis, Petrópolis, Brasil. 4. Santa Casa de Misericórdia de Porto Alegre, Porto Alegre, Brasil. 5. Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Brasil. A 47-year-old male, previously diagnosed with dilated cardiomyop...

the growing population and increasing socio-economic necessitiescreates a pressure on land use/land cover. nowadays, land use change detection using remote sensing data provides quantitative and timely information for management and evaluation of natural resources. this study investigates the land use changes in part of hableh rood watershed of iran using landsat 7 and 8 (sensor etm+ and oli) i...

At ultra-high density, matter is expected to form a degenerate Fermi gas of quarks in which there is a condensate of Cooper pairs of quarks near the Fermi surface: color superconductivity. In this chapter we review some of the underlying physics, and discuss outstanding questions about the phase structure of ultradense quark matter. We then focus on describing recent results on the crystalline ...