Zobrazeno 1 - 10
of 1 432
pro vyhledávání: '"feature pyramid network"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract To assist the visually impaired in their daily lives and solve the problems associated with poor portability, high hardware costs, and environmental susceptibility of indoor object-finding aids for the visually impaired, an improved YOLOv5 a
Externí odkaz:
https://doaj.org/article/ca28da83043249c6b5761d4a43854907
Autor:
Jinglin Yuan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract To meet the needs of automated medical analysis of brain tumor magnetic resonance imaging, this study introduces an enhanced instance segmentation method built upon mask region-based convolutional neural network. By incorporating squeeze-and
Externí odkaz:
https://doaj.org/article/1cc7ff86d566493bb9f4bf3e9981f94e
Publikováno v:
Energy Science & Engineering, Vol 12, Iss 7, Pp 2958-2973 (2024)
Abstract Intelligent sorting of coal and gangue is of great significance to the intelligent construction of coal mines as well as green development. In this study, we propose a coal and gangue segmentation method with an improved classical segmentati
Externí odkaz:
https://doaj.org/article/07362ba3f73b4c8193ec30e4bcc4581a
Autor:
Liguo Wang, Yin Shoulin, Hashem Alyami, Asif Ali Laghari, Mamoon Rashid, Jasem Almotiri, Hasan J. Alyamani, Fahad Alturise
Publikováno v:
Geoscience Data Journal, Vol 11, Iss 3, Pp 237-251 (2024)
Abstract Remote sensing image object detection is widely used in civil and military fields. The important task is to detect objects such as ships, planes, airports, harbours and so on, and then it can obtain object category and position information.
Externí odkaz:
https://doaj.org/article/ab2f1504ff6e4927a7836e626af7584b
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-16 (2024)
Abstract The identification of imperfections on steel surfaces is vital for ensuring the quality of industrial products. It requires the capability of real-time detection with high accuracy. This paper proposes the CRGF-YOLO (Contextual Reparameteriz
Externí odkaz:
https://doaj.org/article/f8faafa0ca204c1f9ab287375bb3b9d4
Publikováno v:
Frontiers in Nutrition, Vol 11 (2024)
Accurate recognition of nutritional components in food is crucial for dietary management and health monitoring. Current methods often rely on traditional chemical analysis techniques, which are time-consuming, require destructive sampling, and are no
Externí odkaz:
https://doaj.org/article/17cc97ba5f3049e6a5fb1d48cf54027e
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e38612- (2024)
Accurate segmentation of kidney tumors in CT images is very important in the diagnosis of kidney cancer. Automatic semantic segmentation of the kidney tumor has shown promising results towards developing advance surgical planning techniques in the tr
Externí odkaz:
https://doaj.org/article/ad44c888fa5e41649f247fd0137ba10d
Publikováno v:
Energy and AI, Vol 17, Iss , Pp 100388- (2024)
Coal-gangue object detection has attracted substantial attention because it is the core of realizing vision-based intelligent and green coal separation. However, most existing studies have been focused on laboratory datasets and prioritized model lig
Externí odkaz:
https://doaj.org/article/51638da1c1a5441fa3ed86ab6da2bcb9
Autor:
Storm Schutte, Jia Uddin
Publikováno v:
BioMedInformatics, Vol 4, Iss 2, Pp 921-945 (2024)
Background: This research goes into in deep learning technologies within the realm of medical imaging, with a specific focus on the detection of anomalies in medical pathology, emphasizing breast cancer. It underscores the critical importance of segm
Externí odkaz:
https://doaj.org/article/81c681cadc684c98983ae6adea475d61
Autor:
Chengang Dong, Guodong Du
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The objective of human pose estimation (HPE) derived from deep learning aims to accurately estimate and predict the human body posture in images or videos via the utilization of deep neural networks. However, the accuracy of real-time HPE ta
Externí odkaz:
https://doaj.org/article/65ab821fc0a14d519b36bb2c030b0cc7