Deep learning has successfully been leveraged for medical image segmentation. It employs convolutional neural networks (CNN) to learn distinctive features from a defined pixel-wise objective function. However, this approach can lead less output pixel interdependence producing incomplete and unrealistic segmentation results. In paper, we present fully automatic deep method robust by formulating ...

Internet of Things (IoT) has been rapidly developed in recent years, being well applied the fields Environmental Surveillance, Smart Grid, Intelligent Transportation, and so on. As one typical earth-based meteorological observation methods, networked Doppler weather radars, i.e. Radars (IoR) can detect signals large-area water particles atmosphere with high resolution, but suffer from beam bloc...

To help related operators to allocate and dispatch the number of bike-sharing provide good guidance for setting up electronic fences, this paper proposes a spatiotemporal graph convolution network prediction model (SGCNPM) with multiple factors enhance accuracy predicting demand bike-sharing. First, we consider time, built environment, weather. We use multigraph (GCN) utilize long short-term me...

study of the mass transfer (MT) across an oil/water interface is important for the fundamental understanding of liquid/liquid extraction, biological membranes, and so on. The kinetic analysis of the fast MT of neutral species across an oil/water interface is difficult since the MT occurs during the construction of the oil/water interface. Several efforts have been devoted to the direct kinetic ...

Identifying sleep problem severity from overnight polysomnography (PSG) recordings plays an important role in diagnosing and treating disorders such as the Obstructive Sleep Apnea (OSA). This analysis traditionally is done by specialists manually through visual inspections, which can be tedious, time-consuming, prone to subjective errors. One of solutions use Convolutional Neural Networks (CNN)...

6G envisions artificial intelligence (AI) powered solutions for enhancing the quality-of-service (QoS) in network and to ensure optimal utilization of resources. In this work, we propose an architecture based on combination unmanned aerial vehicles (UAVs), AI blockchain agricultural supply-chain management with purpose ensuring traceability, transparency, tracking inventories contracts. We a so...