Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Hanshen Chen"'
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-9 (2024)
Abstract Background Postoperative sleep disturbance has a potentially detrimental effect on postoperative recovery. Perioperative patients are affected by several factors. General anesthesia induces a non-physiological state that does not resemble na
Externí odkaz:
https://doaj.org/article/b8aafa455e6a49fb822a64371f5520f2
Publikováno v:
Endocrine Connections, Vol 10, Iss 11, Pp 1393-1402 (2021)
Type 2 diabetes mellitus (T2DM) is considered as a metabolic disease with hyperglycemia. Accumulating investigations have explored the important role of hereditary factors for T2DM occurrence. Some functional microRNA (miR) polymorphisms m ay affect
Externí odkaz:
https://doaj.org/article/a4caa2a813f447b380299681525f0742
Publikováno v:
IEEE Access, Vol 7, Pp 186657-186670 (2019)
Cracks are one of the most common categories of pavement distress that may potentially threaten road and highway safety. Thus, a reliable and efficient pixel-level method of crack detection is necessary for real-time measurement of the crack. However
Externí odkaz:
https://doaj.org/article/fa7a07d271c847f884992e8c698744c5
Publikováno v:
Immunological Investigations. 51:1867-1882
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18546d859aad8f6a90707943cf405b20
https://doi.org/10.1080/08820139.2022.2069504
https://doi.org/10.1080/08820139.2022.2069504
Autor:
Huiping Lin, Hanshen Chen
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 70:1-12
Automated pixel-level crack detection is one of the essential tasks in the field of defect inspection. Deep convolutional neural networks, typically using encoder–decoder architectures, have been successfully applied to many crack detection scenes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6b328cfea69bd7994a1c34319b9a352
https://doi.org/10.1109/tim.2021.3075022
https://doi.org/10.1109/tim.2021.3075022
Publikováno v:
International Journal of Machine Learning and Cybernetics. 11:899-911
Poor road conditions, such as potholes, are a nuisance to society, which would annoy passengers, damage vehicles, and even cause accidents. Thus, detecting potholes is an important step toward pavement maintenance and rehabilitation to improve road c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::558fe46c29ab83fd649e19b214bc50a3
https://doi.org/10.1007/s13042-020-01078-7
https://doi.org/10.1007/s13042-020-01078-7
Publikováno v:
Endocrine Connections
Endocrine Connections, Vol 10, Iss 11, Pp 1393-1402 (2021)
Endocrine Connections, Vol 10, Iss 11, Pp 1393-1402 (2021)
Type 2 diabetes mellitus (T2DM) is considered as a metabolic disease with hyperglycemia. Accumulating investigations have explored the important role of hereditary factors for T2DM occurrence. Some functional microRNA (miR) polymorphisms may affect t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a698b37a9e1c51dc99d946a0f1edb474
https://pubmed.ncbi.nlm.nih.gov/34596578
https://pubmed.ncbi.nlm.nih.gov/34596578
Publikováno v:
Journal of Biomedical Optics
Oral cancer is one of the most common cancers worldwide, with high mortality rates. According to the International Agency for Research on Cancer, there were an estimated 377,000 new cases of lip and oral cavity cancers in 2020, with nearly 177,000 de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a40000eedd5d34bfba4cf2e294e7be4
https://pubmed.ncbi.nlm.nih.gov/34453419
https://pubmed.ncbi.nlm.nih.gov/34453419
Publikováno v:
Applied Optics. 60:6080
Cracks are one of the most common types of surface defects that occur on various engineering infrastructures. Visual-based crack detection is a challenging step due to the variation of size, shape, and appearance of cracks. Existing convolutional neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81646e3fb0bc01688e362776d4b07b46
https://doi.org/10.1364/ao.423406
https://doi.org/10.1364/ao.423406