Zobrazeno 1 - 10
of 8 297
pro vyhledávání: '"Pattern Classification"'
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 11, Pp 2155-2169 (2024)
Abstract Radar work mode recognition is crucial to analyse radar behaviour and intention. There are some challenges limiting the recognition of long sequences with multiple mode classes. First, the performance of recognition method relies on precise
Externí odkaz:
https://doaj.org/article/27ee99b400cf42a6bb97d3532b0b1b58
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 5, Pp 1331-1345 (2024)
Abstract Although deep convolution neural network (DCNN) has achieved great success in computer vision field, such models are considered to lack interpretability in decision‐making. One of fundamental issues is that its decision mechanism is consid
Externí odkaz:
https://doaj.org/article/ea0ff044de9147e6954baba801f74f9a
Publikováno v:
IET Image Processing, Vol 18, Iss 12, Pp 3109-3127 (2024)
Abstract The problem of human identification through recognition of patterns in iris images captured in unconstrained environments results in image artefacts such as image occlusion and specular reflection, in which iris tissue is observable to extre
Externí odkaz:
https://doaj.org/article/478623c6b3114b20979071aeac41142e
Publikováno v:
IET Radar, Sonar & Navigation, Vol 18, Iss 9, Pp 1391-1408 (2024)
Abstract In military contexts, synthetic aperture radar (SAR) automatic target recognition (ATR) models frequently encounter the challenge of imbalanced data, resulting in a noticeable degradation in the recognition performance. Therefore, the author
Externí odkaz:
https://doaj.org/article/559b61d928c4450fa7d68ac2d09fad7f
Publikováno v:
IET Communications, Vol 18, Iss 15, Pp 897-907 (2024)
Abstract Specific emitter identification technology plays a very important role in spectrum resource management, wireless network security, cognitive radio etc. However, in complex electromagnetic environments, the variability and uncertainty of sign
Externí odkaz:
https://doaj.org/article/709a90ee2d074f9faca9752cad464649
Publikováno v:
IET Image Processing, Vol 18, Iss 10, Pp 2553-2567 (2024)
Abstract Due to differences in the quantity and size of observed targets, hyperspectral images are characterized by class imbalance. The standard deep learning classification model training scheme optimizes the overall classification error, which may
Externí odkaz:
https://doaj.org/article/10539116ff0b4f1ea71a54476a63e792
Autor:
Emma Schwager, Mohsen Nabian, Xinggang Liu, Ting Feng, Robin French, Pam Amelung, Louis Atallah, Omar Badawi
Publikováno v:
Healthcare Technology Letters, Vol 11, Iss 4, Pp 252-257 (2024)
Abstract The goal of this work is to develop a Machine Learning model to predict the need for both invasive and non‐invasive mechanical ventilation in intensive care unit (ICU) patients. Using the Philips eICU Research Institute (ERI) database, 2.6
Externí odkaz:
https://doaj.org/article/bd6de89c73f1431daf83ead08b94948b
Autor:
Sio‐Kei Im, Ka‐Hou Chan
Publikováno v:
IET Image Processing, Vol 18, Iss 9, Pp 2304-2317 (2024)
Abstract Video captioning aims to identify multiple objects and their behaviours in a video event and generate captions for the current scene. This task aims to generate a detailed description of the current video in real‐time using natural languag
Externí odkaz:
https://doaj.org/article/d478b9ffc5bd4084be9c6c910740f841
Publikováno v:
Systems Science & Control Engineering, Vol 12, Iss 1 (2024)
In recent years, artificial intelligence has developed rapidly, and artificial intelligence equipment has greatly facilitated people's lives. During the operation of intelligent devices, accurate environmental perception is of great importance. To pr
Externí odkaz:
https://doaj.org/article/15c10c70957e49aa981970330fe7af87
Publikováno v:
Journal of Hydroinformatics, Vol 26, Iss 6, Pp 1370-1384 (2024)
The frequent occurrence of typhoons causes geological disasters, such as debris flow and landslide, by bringing extreme rainfall events. Due to the lack of data collection on extreme rainfall events caused by typhoons, the relationship between rainfa
Externí odkaz:
https://doaj.org/article/697b813dbba0441398bcc742d88ed45d