Zobrazeno 1 - 10
of 326
pro vyhledávání: '"global average pooling"'
Publikováno v:
工程科学学报, Vol 46, Iss 10, Pp 1856-1863 (2024)
The channel attention mechanism can effectively make use of different feature channels. By weighting and adjusting the channels of feature graphs, convolutional neural networks can pay more attention to important feature channels, thus improving thei
Externí odkaz:
https://doaj.org/article/3947b33d5ff74f8895e278431defc07b
Publikováno v:
Shipin yu jixie, Vol 39, Iss 6, Pp 155-160 (2023)
Objective: To solve the problems of low accuracy and poor efficiency in existing apple defect detection methods. Methods: Based on a fruit image acquisition system, an improved convolutional neural network was proposed for detecting surface defects i
Externí odkaz:
https://doaj.org/article/773fb8be4a27498190f324613c52962e
Autor:
R. Santhana Krishnan, E. Golden Julie
Publikováno v:
Automatika, Vol 64, Iss 4, Pp 1038-1053 (2023)
ABSTRACTThe support rendered by artificial intelligence in plant disease diagnosis and with drastic progression in the agricultural technology, it is necessary to do pertinent research for the cause of long-term agricultural development. Numerous dis
Externí odkaz:
https://doaj.org/article/bd5ef0c603f143aaae12fa100a2170e0
Publikováno v:
Sensors, Vol 24, Iss 16, p 5305 (2024)
Deep learning has recently made significant progress in semantic segmentation. However, the current methods face critical challenges. The segmentation process often lacks sufficient contextual information and attention mechanisms, low-level features
Externí odkaz:
https://doaj.org/article/6e238a39e5e94eadb2790f42a42c7e04
Publikováno v:
Jixie chuandong, Vol 47, Pp 134-142 (2023)
Aiming at the problem of insufficient gear fault samples, a fault diagnosis method of transfer learning based on Hilbert-Huang spectrum and pre-trained VGG16 model is proposed. Firstly, the intrinsic mode function (IMF) is obtained by Empirical Mode
Externí odkaz:
https://doaj.org/article/4b23e8951fd1481c989a57dc3ac84f01
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Weeds remain one of the most important factors affecting the yield and quality of corn in modern agricultural production. To use deep convolutional neural networks to accurately, efficiently, and losslessly identify weeds in corn fields, a new corn w
Externí odkaz:
https://doaj.org/article/6125e0e80ecf4edfa7a4f1d5d129b73c
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 5, Pp 101555- (2023)
The accurate detection and identification of plant diseases is an essential step in the development of intelligent and modernized agricultural production. This study proposes a deep learning model (PPLC-Net) incorporating dilated convolution, multi-l
Externí odkaz:
https://doaj.org/article/867c4db2d6104386b2a9fdef67e0036d
Publikováno v:
Sensors, Vol 23, Iss 22, p 9218 (2023)
Monocular panoramic depth estimation has various applications in robotics and autonomous driving due to its ability to perceive the entire field of view. However, panoramic depth estimation faces two significant challenges: global context capturing a
Externí odkaz:
https://doaj.org/article/d687a4f560e14a34b97ab2b6a42eba8f
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 1, Pp 997-1025 (2022)
Classifying and identifying surface defects is essential during the production and use of aluminum profiles. Recently, the dual-convolutional neural network(CNN) model fusion framework has shown promising performance for defects classification and re
Externí odkaz:
https://doaj.org/article/20b4adb6338447209c112fe2f4e6d521
Autor:
Hong-Tao Zhang, Ze-Yu Sun, Juan Zhou, Shen Gao, Jing-Hui Dong, Yuan Liu, Xu Bai, Jin-Lin Ma, Ming Li, Guang Li, Jian-Ming Cai, Fu-Geng Sheng
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 13 (2023)
BackgroundThere is an urgent need to find an effective and accurate method for triaging coronavirus disease 2019 (COVID-19) patients from millions or billions of people. Therefore, this study aimed to develop a novel deep-learning approach for COVID-
Externí odkaz:
https://doaj.org/article/ce23e1d8071340af874327b9f32bd110