19   Artículos

 
en línea
Qianmu Xiao and Liang Zhao    
Acquiring relevant, high-quality, and heterogeneous medical images is essential in various types of automated analysis, used for a variety of downstream data augmentation tasks. However, a large number of real image samples are expensive to obtain, espec... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yingshuo Xing, Guoqing Zhang and Jiqiang Li    
This paper focuses predominantly on the multi-tasks carried out by the cooperative unmanned surface vehicle-unmanned aerial vehicle (USV-UAV) system in which the input quantization is considered. The proposed cooperative scheme consists of the asynchrono... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Selene Tomassini, Haidar Anbar, Agnese Sbrollini, MHD Jafar Mortada, Laura Burattini and Micaela Morettini    
The brain is the organ most studied using Magnetic Resonance (MR). The emergence of 7T scanners has increased MR imaging resolution to a sub-millimeter level. However, there is a lack of automatic segmentation techniques for 7T MR volumes. This research ... ver más
Revista: Information    Formato: Electrónico

 
en línea
Fumin Guo, Matthew Ng, Idan Roifman and Graham Wright    
Cardiac MRI is the gold standard for evaluating left ventricular myocardial mass (LVMM), end-systolic volume (LVESV), end-diastolic volume (LVEDV), stroke volume (LVSV), and ejection fraction (LVEF). Deep convolutional neural networks (CNNs) can provide ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Rukesh Prajapati and Goo-Rak Kwon    
More accurate diagnosis of brain disorders can be achieved by properly analyzing structural changes in the brain. For the quantification of change in brain structure, the segmentation task is crucial. Recently, generative adversarial networks (GAN) have ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Guoqing Zhang, Jun Han, Jiqiang Li and Xianku Zhang    
To adapt to complex navigation conditions, this paper addresses the coordination formation of autonomous surface vehicles (ASVs) with the constraint of information interruption. For this purpose, a distributed robust fast finite-time formation control al... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Jiqiang Li, Guoqing Zhang and Bo Li    
Around the cooperative path-following control for the underactuated surface vessel (USV) and the unmanned aerial vehicle (UAV), a logic virtual ship-logic virtual aircraft (LVS-LVA) guidance principle is developed to generate the reference heading signal... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Huan Wang, Shuguang Liu, Maolong Lv and Boyang Zhang    
Cooperative group formation control of manned/unmanned aircraft vehicles (MAV/UAVs) using a hierarchical framework can be more efficient and flexible than centralized control strategies. In this paper, a two-level hierarchical-interaction-based cooperati... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Wenjing Ran, Jiasheng Wang, Kun Yang, Ling Bai, Xun Rao, Zhe Zhao and Chunxiao Xu    
To address the problem of low accuracy in line element recognition of raster maps due to text and background interference, we propose a raster map line element recognition method based on an improved U-Net network model, combining the semantic segmentati... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Grzegorz Mzyk, Zygmunt Hasiewicz and Pawel Mielcarek    
In the paper we deal with the problem of non-linear dynamic system identification in the presence of random noise. The class of considered systems is relatively general, in the sense that it is not limited to block-oriented structures such as Hammerstein... ver más
Revista: Algorithms    Formato: Electrónico

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