Zobrazeno 1 - 10
of 13 694
pro vyhledávání: '"Hong-an Li"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 8, Pp 13777-13797 (2023)
As a public infrastructure service, remote sensing data provided by smart cities will go deep into the safety field and realize the comprehensive improvement of urban management and services. However, it is challenging to detect criminal individuals
Externí odkaz:
https://doaj.org/article/813dcda92c3149aeb3df4b7720ea9e09
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 7, Pp 11998-12023 (2023)
Sparse mobile crowd sensing saves perception cost by recruiting a small number of users to perceive data from a small number of sub-regions, and then inferring data from the remaining sub-regions. The data collected by different people on their respe
Externí odkaz:
https://doaj.org/article/e53b7975816346ce927a52c79b723b2a
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 7, Pp 12240-12262 (2023)
The recognition of traffic signs is of great significance to intelligent driving and traffic systems. Most current traffic sign recognition algorithms do not consider the impact of rainy weather. The rain marks will obscure the recognition target in
Externí odkaz:
https://doaj.org/article/034a983698864438beb2ea8771f4829c
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 1, Pp 86-101 (2022)
In recent years, with the development of deep learning, image color rendering method has become a research hotspot once again. To overcome the detail problems of color overstepping and boundary blurring in the robust image color rendering method, as
Externí odkaz:
https://doaj.org/article/fc4442bed3e848019ecb7ceb92e5f419
Publikováno v:
IEEE Access, Vol 8, Pp 119819-119828 (2020)
The prediction of water inflow during coal mining is an important issue. There are many factors that can affect the water inflow in mines. The intercoupling of these factors makes it difficult for current water inflow forecasting methods to meet the
Externí odkaz:
https://doaj.org/article/66538e5baa304f0e90e966f6e3aaf54a
Publikováno v:
IEEE Access, Vol 8, Pp 91740-91750 (2020)
Visualization is one of the most intuitive and perceptible ways for information representation in the big data era. As an essential part of the visualization, 3D mesh reconstruction is facing great challenges due to its characteristics of quantity, n
Externí odkaz:
https://doaj.org/article/a3d6278ec9f2422fa94b8418af11f7fc
Autor:
Hong-An Li, Jiangwen Fan, Keping Yu, Xin Qi, Zheng Wen, Qiaozhi Hua, Min Zhang, Qiaoxue Zheng
Publikováno v:
IEEE Access, Vol 8, Pp 104016-104025 (2020)
Color medical images better reflect a patient's lesion information and facilitate communication between doctors and patients. The combination of medical image processing and the Internet has been widely used for clinical medicine on Internet of medic
Externí odkaz:
https://doaj.org/article/a8e383bdd82b47ea9c6c2dd96f7f9523
Publikováno v:
IEEE Access, Vol 8, Pp 12644-12654 (2020)
Ambulance services play a vital role in intelligent transportation systems (ITS). In an intelligent ambulance system, the medical images can help doctors quickly and accurately understand the patients' condition during first aid. On various display d
Externí odkaz:
https://doaj.org/article/2865d228eb2d454daaefaf17346889cc
Publikováno v:
IEEE Access, Vol 7, Pp 149542-149553 (2019)
Cloud computing is generally considered as a special energy-efficient form for the Internet of Things (IoT) resource usage. Dedicated server systems for cloud services, better capacity utilization and economies of scale because of the use of larger a
Externí odkaz:
https://doaj.org/article/bd3fbe4771654f85a658849cc85eae37
Publikováno v:
Heliyon, Vol 10, Iss 22, Pp e40427- (2024)
Saikosaponin A (SSA), the primary active monomer derived from the Radix bupleuri, demonstrates a diverse array of pharmacological activities, including anti-inflammatory, antitumor, analgesic, anti-fibrotic, antidepressant, and immune-modulating prop
Externí odkaz:
https://doaj.org/article/66c84412ffde472bbfa4b8ba1327ccf2