Exploiting global factors and embedding them directly into local graphs in point clouds are challenging due to dense points irregular structure. To accomplish this goal, we propose a novel end-to-end trainable graph attention network that extracts features terms of graphs. Our presents general graph, which obtains the most fundamental based on order positions different neighborhoods. Central is...

The XYZ office is a government agency covering various fields, ranging from government, economy, development, people's welfare, community life development and public service affairs. However, work activities in agencies were disrupted due to the COVID-19 pandemic which caused impose Large-Scale Social Restriction (PSBB) policy suppress spread of this virus, resulting workers having home. Theref...

Mathematical methods are extensively used in dealing with simulation and approximation problems related to computer science, engineering, physics, many others [...]

Abstract In order to limit the interference of cloud noise on ground scene information, detection has been a hot issue in research remote sensing image processing. Cloud labels clouds images at pixel level. The majority early systems rely manually created feature and threshold segmentation with limited generalizability. Remote based deep learning improved accuracy speed thanks quick development...