Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Zairong Wang"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 17, Iss 6, Pp 7221-7233 (2020)
Dynamic computer forensics is a popular area in computer forensics that combines network intrusion technology with computer forensics technology. A novel dynamic computer forensics model is proposed based on an artificial immune system. Simulating th
Externí odkaz:
https://doaj.org/article/0b14bbad69cc40738724e23f8bdce194
Publikováno v:
Complexity, Vol 2020 (2020)
Dissolved oxygen sensor is the key of dissolved oxygen measurement and it is usually implemented by electrochemical method, which measures dissolved oxygen content by the diffusion rate of molecular oxygen through film. However, the film on the elect
Externí odkaz:
https://doaj.org/article/3874a123fddf4fe1aa26ea3c90bb376d
Publikováno v:
Sensors, Vol 21, Iss 8, p 2731 (2021)
Accurate segmentation of entity categories is the critical step for 3D scene understanding. This paper presents a fast deep neural network model with Dense Conditional Random Field (DCRF) as a post-processing method, which can perform accurate semant
Externí odkaz:
https://doaj.org/article/cb49b1827e7343e4a905028e2af2eaa9
Publikováno v:
Twelfth International Conference on Graphics and Image Processing (ICGIP 2020).
Semantic segmentation on medical Computed Tomography (CT) images is of great significance to research and clinical diagnosis. However, methods based on neural network have competitive advantages for segmentation of dental CT images. In this paper, a
Publikováno v:
Mathematical Biosciences and Engineering, Vol 17, Iss 6, Pp 7221-7233 (2020)
Dynamic computer forensics is a popular area in computer forensics that combines network intrusion technology with computer forensics technology. A novel dynamic computer forensics model is proposed based on an artificial immune system. Simulating th
Publikováno v:
2020 International Conference on Internet of Things and Intelligent Applications (ITIA).
Accurate segmentation of entity categories is the key step for 3D scene understanding. In this paper, we present a novel fast Deep Neural Network (DNN) model with Dense Conditional Random Field (DCRF) as a post-processing step, which can perform accu
Publikováno v:
Complexity, Vol 2020 (2020)
Dissolved oxygen sensor is the key of dissolved oxygen measurement and it is usually implemented by electrochemical method, which measures dissolved oxygen content by the diffusion rate of molecular oxygen through film. However, the film on the elect
Publikováno v:
Image and Graphics Technologies and Applications ISBN: 9789811399169
IGTA
IGTA
With the growth in the elderly population, fall detection methods for the elderly are of great significance. In this paper, we propose a deep learning-based method for real-time fall detection continuous depth maps with Residual Fall Detection Networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3e0fe3d4fb595f39180d6c17450c61e
https://doi.org/10.1007/978-981-13-9917-6_62
https://doi.org/10.1007/978-981-13-9917-6_62
Publikováno v:
International Journal of Security and Networks. 15:148
A malicious behaviour identification approach for Android that is inspired by radial basis function neural networks is proposed. First, this method takes samples of the malicious behaviour on Android, extracts behaviour features, and integrates data,