Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Frank Kulwa"'
Autor:
Mojisola Grace Asogbon, Oluwarotimi Williams Samuel, Ejay Nsugbe, Yongcheng Li, Frank Kulwa, Deogratias Mzurikwao, Shixiong Chen, Guanglin Li
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionElectromyogram-based pattern recognition (EMG-PR) has been widely considered an essentially intuitive control method for multifunctional upper limb prostheses. A crucial aspect of the scheme is the EMG signal recording duration (SRD) from
Externí odkaz:
https://doaj.org/article/8997d7065ced41258821a6319a25f41b
Autor:
Xialin Li, Chen Li, Frank Kulwa, Md Mamunur Rahaman, Wenwei Zhao, Xue Wang, Dan Xue, Yudong Yao, Yilin Cheng, Jindong Li, Shouliang Qi, Tao Jiang
Publikováno v:
IEEE Access, Vol 8, Pp 114519-114540 (2020)
A behavior description helps analyze tiny objects, similar objects, objects with weak visual information, and objects with similar visual information. It plays a fundamental role in the identification and classification of dynamic objects in microsco
Externí odkaz:
https://doaj.org/article/9f291284ec04494dad9273d526359c89
Autor:
Hao Xu, Chen Li, Md Mamunur Rahaman, Yudong Yao, Zihan Li, Jinghua Zhang, Frank Kulwa, Xin Zhao, Shouliang Qi, Yueyang Teng
Publikováno v:
IEEE Access, Vol 8, Pp 187455-187469 (2020)
The main obstacle to image augmentation with Generative Adversarial Networks (GANs) is the need for a large amount of training data, but this is difficult for small datasets like Environmental Microorganisms (EMs). EM image analysis plays a vital rol
Externí odkaz:
https://doaj.org/article/77d361bd790342a89d00249bff51c0ae
Publikováno v:
IEEE Access, Vol 7, Pp 100243-100269 (2019)
Microorganisms play a great role in ecosystem, wastewater treatment, monitoring of environmental changes, and decomposition of waste materials. However, some of them are harmful to humans and animals such as tuberculosis bacteria and plasmodium. In s
Externí odkaz:
https://doaj.org/article/9c0cb65a4bd747fca8048256696f0d79
Autor:
Zihan Li, Chen Li, Yudong Yao, Jinghua Zhang, Md Mamunur Rahaman, Hao Xu, Frank Kulwa, Bolin Lu, Xuemin Zhu, Tao Jiang
Publikováno v:
PLoS ONE, Vol 16, Iss 5, p e0250631 (2021)
Environmental Microorganism Data Set Fifth Version (EMDS-5) is a microscopic image dataset including original Environmental Microorganism (EM) images and two sets of Ground Truth (GT) images. The GT image sets include a single-object GT image set and
Externí odkaz:
https://doaj.org/article/cac9a5ecaa234c42ab8833e6afed667d
Autor:
Frank Kulwa, Chen Li, Jinghua Zhang, Kimiaki Shirahama, Sergey Kosov, Xin Zhao, Tao Jiang, Marcin Grzegorzek
Publikováno v:
Environmental Science and Pollution Research. 29:51909-51926
Environmental microorganism (EM) offers a highly efficient, harmless, and low-cost solution to environmental pollution. They are used in sanitation, monitoring, and decomposition of environmental pollutants. However, this depends on the proper identi
The use of Environmental Microorganisms (EMs) offers a highly efficient, low cost and harmless remedy to environmental pollution, by monitoring and decomposing of pollutants. This relies on how the EMs are correctly segmented and identified. With the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aa3b35c56fca8219e967a51b76051f20
http://arxiv.org/abs/2208.14957
http://arxiv.org/abs/2208.14957
Surface electromyogram (sEMG) is arguably the most sought-after physiological signal with a broad spectrum of biomedical applications, especially in miniaturized rehabilitation robots such as multifunctional prostheses. The widespread use of sEMG to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17c3818aa4d6b4edd8ced466d946caaf
Autor:
Xin Zhao, Frank Kulwa, Mohammad Asadur Rahman, Shouliang Qi, Chen Li, Mamunur Rahaman, Qian Wang, Fanjie Kong, Yu-Dong Yao, Xuemin Zhu
Publikováno v:
Journal of X-Ray Science and Technology
BACKGROUND: The novel coronavirus disease 2019 (COVID-19) constitutes a public health emergency globally. The number of infected people and deaths are proliferating every day, which is putting tremendous pressure on our social and healthcare system.
Publikováno v:
Electronics Letters. 56:750-753
In this Letter, a hierarchical conditional random field (HCRF) model-based gastric histopathology image segmentation (GHIS) method is proposed, which can localise abnormal (cancer) regions in gastric histopathology images to assist histopathologists