Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Shangwang Liu"'
Autor:
Shangwang Liu, Lihan Yang
Publikováno v:
Entropy, Vol 24, Iss 12, p 1823 (2022)
Single-modality medical images often cannot contain sufficient valid information to meet the information requirements of clinical diagnosis. The diagnostic efficiency is always limited by observing multiple images at the same time. Image fusion is a
Externí odkaz:
https://doaj.org/article/d7406b323aa244338761b94e49bd2c69
Publikováno v:
IEEE Access, Vol 7, Pp 116078-116093 (2019)
Lévy flight Shuffle Frog Leaping Algorithm (LSFLA) is a SFLA variant and enhances the performance of SFLA largely, however, it still has some defects, such as poor convergence and low efficiency. So an improved LSFLA, namely, LSFLA based on Differe
Externí odkaz:
https://doaj.org/article/c223b78a586349af8713a203ded96ca1
Publikováno v:
Complexity, Vol 2020 (2020)
Laplacian Biogeography-Based Optimization (LxBBO) is a BBO variant which improves BBO’s performance largely. When it solves some complex problems, however, it has some drawbacks such as poor performance, weak operability, and high complexity, so an
Externí odkaz:
https://doaj.org/article/fd2da0d8e2354719872c8938dbdb3270
Publikováno v:
Entropy, Vol 24, Iss 1, p 112 (2022)
Aiming at recognizing small proportion, blurred and complex traffic sign in natural scenes, a traffic sign detection method based on RetinaNet-NeXt is proposed. First, to ensure the quality of dataset, the data were cleaned and enhanced to denoise. S
Externí odkaz:
https://doaj.org/article/859891340d88443abf54ed6df245e910
Publikováno v:
Medical physics.
Corona virus disease 2019 (COVID-19) is threatening the health of the global people and bringing great losses to our economy and society. However, computed tomography (CT) image segmentation can make clinicians quickly identify the COVID-19-infected
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7c00f778fd31b3c004c4d4b03c99b47
https://pubmed.ncbi.nlm.nih.gov/35916116
https://pubmed.ncbi.nlm.nih.gov/35916116
COVID-19 diagnosis via chest X-ray image classification based on multiscale class residual attention
Publikováno v:
Computers in biology and medicine. 149
Aiming at detecting COVID-19 effectively, a multiscale class residual attention (MCRA) network is proposed via chest X-ray (CXR) image classification. First, to overcome the data shortage and improve the robustness of our network, a pixel-level image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f74b4ee698fca782425db467dcf5242
https://pubmed.ncbi.nlm.nih.gov/36081225
https://pubmed.ncbi.nlm.nih.gov/36081225
Autor:
Doudou Wang, Yun Jiang, Shuangqian Li, Guoqi Liu, Wentao Mao, Shangwang Liu, Zihao Fu, Xinming Zhang
Publikováno v:
Applied Mathematical Modelling. 86:74-91
The Biogeography-Based Optimization algorithm and its variants have been used widely for optimization problems. To get better performance, a novel Biogeography-Based Optimization algorithm with Hybrid migration and global-best Gaussian mutation is pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe143217fdfe3c18d4492375b86065b3
https://doi.org/10.1016/j.apm.2020.05.016
https://doi.org/10.1016/j.apm.2020.05.016
Publikováno v:
IEEE Access. 7:116078-116093
Levy flight Shuffle Frog Leaping Algorithm (LSFLA) is a SFLA variant and enhances the performance of SFLA largely, however, it still has some defects, such as poor convergence and low efficiency. So an improved LSFLA, namely, LSFLA based on Different
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::889722c0409e0d2b3d89eda05e57befe
https://doi.org/10.1109/access.2019.2936254
https://doi.org/10.1109/access.2019.2936254
Publikováno v:
Applied Soft Computing. 101:107061
Grey Wolf Optimizer (GWO) and Particle Swarm Optimization (PSO) algorithm are two popular swarm intelligence optimization algorithms and these two algorithms have their own search mechanisms. Based on their unique search mechanisms and their advantag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c392c317a2f0a1f95a9ad1ebde7ed988
https://doi.org/10.1016/j.asoc.2020.107061
https://doi.org/10.1016/j.asoc.2020.107061
Publikováno v:
Optics & Laser Technology. 86:33-38
Recently, a chaotic encryption algorithm for highly autocorrelated data was proposed. By adding chaotic diffusion to the former work, the information leakage of the encryption results especially for the images with lower gray scales was eliminated, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2195cfa751cb2907dd5cc93d2f0fee6
https://doi.org/10.1016/j.optlastec.2016.06.012
https://doi.org/10.1016/j.optlastec.2016.06.012