Zobrazeno 1 - 10
of 438
pro vyhledávání: '"MACHINE LEARNING (ARTIFICIAL INTELLIGENCE)"'
Publikováno v:
The Journal of Engineering, Vol 2022, Iss 10, Pp 978-984 (2022)
Abstract As the main detoxification organ of human body, liver is very important in humans' health by metabolizing a lot of substances that are taken in, including alcohol and the medicine. However, if a person consumes too much alcohol or contaminat
Externí odkaz:
https://doaj.org/article/8dd395d7cc114980be6e46b67768d4e9
Akademický článek
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Publikováno v:
Journal of Applied Engineering and Technological Science, Vol 4, Iss 2 (2023)
Recent years have seen the rapid deployment of Artificial Intelligence (AI) which allows systems to take intelligent decisions. AI breakthroughs could radically change modern libraries' operations. However, introducing AI in modern libraries is a cha
Externí odkaz:
https://doaj.org/article/0fe1c90dd4114716bf1b45ed10196627
Publikováno v:
IET Intelligent Transport Systems, Vol 16, Iss 1, Pp 41-52 (2022)
Abstract Accurate and timely short‐term traffic flow forecasting is an essential component for intelligent traffic management systems. However, developing an effective and robust forecasting model is challenging due to the inherent randomness and n
Externí odkaz:
https://doaj.org/article/294cffd2d8bf47268c005008bcac16d5
Publikováno v:
IET Image Processing, Vol 16, Iss 1, Pp 49-60 (2022)
Abstract Visual object tracking has been a fundamental topic in computer vision and many convolutional neural network (CNN) based trackers proposed in recent years have achieved state‐of‐the‐art performance, multi‐domain convolutional neural
Externí odkaz:
https://doaj.org/article/b3c697bc019e458199adf1538e24391e
Publikováno v:
IET Image Processing, Vol 16, Iss 1, Pp 261-272 (2022)
Abstract In the dark scene at night, the face images captured by ordinary visible light (VIS) are generally poor quality and very dim, while the near‐infrared (NIR) can capture high definition and recognizable face images at night. The NIR‐VIS He
Externí odkaz:
https://doaj.org/article/16e14f09694e47d8aac0d6d8d12965ea
Publikováno v:
IET Image Processing, Vol 16, Iss 1, Pp 273-284 (2022)
Abstract Deep learning techniques and deep networks have recently been extensively studied and widely applied to single image super‐resolution (SR). Among them, channel attention has garnered the most focus owing to its significant boost in the pre
Externí odkaz:
https://doaj.org/article/b4f6a9e067d447f9a0e280a264b3d0a0
Publikováno v:
IET Generation, Transmission & Distribution, Vol 15, Iss 23, Pp 3284-3301 (2021)
Abstract Demand response (DR) is an effective load management method. To attract customers to participate, DR policies need to both satisfy customers' individual DR habits and be economically profitable. However, customers’ individual DR habits are
Externí odkaz:
https://doaj.org/article/40f645ba2e884542bd4fa282298a23c7
Autor:
Qun Zhao, Nisuo Du, Zhi Ouyang, Ning Kang, Ziyan Liu, Xu Wang, Qing He, Yiling Xu, Shichun Ge, Jingkuan Song
Publikováno v:
IET Image Processing, Vol 15, Iss 14, Pp 3599-3607 (2021)
Abstract Person re‐identification (Re‐ID) is in significant demand for intelligent security and single or multiple‐target tracking. However, there are issues in the person Re‐ID tasks, such as sharp decline in cross‐data sets detection accu
Externí odkaz:
https://doaj.org/article/00aded90e8004048b737670ac3b8d9d6
Publikováno v:
IET Image Processing, Vol 15, Iss 14, Pp 3543-3550 (2021)
Abstract The objective of crowd counting is to learn a counter that can estimate the number of people in a single image. So far, most of the proposed work evaluates the crowd density by fitting the constructed density map corresponding to the sample.
Externí odkaz:
https://doaj.org/article/08fbf0dfe6774dd0b456101de27ed2da