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Publikováno v:
IEEE Access, Vol 12, Pp 91410-91425 (2024)
Mental illness has grown to become a prevalent and global health concern that affects individuals across various demographics. Timely detection and accurate diagnosis of mental disorders are crucial for effective treatment and support as late diagnos
Externí odkaz:
https://doaj.org/article/843a1d88a83946d484048169419f236e
Publikováno v:
IEEE Access, Vol 12, Pp 92419-92430 (2024)
Defects influence diverse properties of materials, shaping their structural, mechanical, and electronic characteristics. Among a variety of materials exhibiting unique defects, magnets exhibit diverse nano- to micro-scale defects and have been intens
Externí odkaz:
https://doaj.org/article/1dfddb498b524cd5af89d82f10a518c0
Autor:
Di Wang, Jing Zhang, Minqiang Xu, Lin Liu, Dongsheng Wang, Erzhong Gao, Chengxi Han, Haonan Guo, Bo Du, Dacheng Tao, Liangpei Zhang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11632-11654 (2024)
Foundation models have reshaped the landscape of remote sensing (RS) by enhancing various image interpretation tasks. Pretraining is an active research topic, encompassing supervised and self-supervised learning methods to initialize model weights ef
Externí odkaz:
https://doaj.org/article/f1ebc4a04ca145599622a4482d62ea54
Publikováno v:
IEEE Access, Vol 12, Pp 90442-90460 (2024)
Point source detection algorithms play a pivotal role across diverse applications, influencing fields such as astronomy, biomedical imaging, environmental monitoring, and beyond. This article reviews the algorithms used for space imaging applications
Externí odkaz:
https://doaj.org/article/cd946246b5fa4530bc2324290a5fd733
Publikováno v:
IEEE Access, Vol 12, Pp 89933-89946 (2024)
Scene classification has established itself as a challenging research problem. Compared to images of individual objects, scene images could be much more semantically complex and abstract. Their difference mainly lies in the level of granularity of re
Externí odkaz:
https://doaj.org/article/b1dfde87fe434b59a8860f13d3e4b8e7
Publikováno v:
IEEE Access, Vol 12, Pp 89163-89182 (2024)
This paper primarily focuses on image understanding tasks in hazy/rainy environments. We carried out research for image enhancement in hazy/rainy situations in tandem with object detection in those scenes. We first introduce an unsupervised Generativ
Externí odkaz:
https://doaj.org/article/8d47d2a5ab3c4deca26c0385662c6140
Publikováno v:
IEEE Access, Vol 12, Pp 87248-87267 (2024)
Many organizations are developing connected worker and digital twin solutions in mixed reality as a means to quickly train new hires while simultaneously developing assistive deep learning models for quality-control mechanisms through internal docume
Externí odkaz:
https://doaj.org/article/72c03e2e51f14000898fe4e313a88233
Publikováno v:
IEEE Access, Vol 12, Pp 86541-86552 (2024)
In this study, we propose novel approaches for generating adversarial examples targeting machine learning-based image cropping systems. Image cropping is crucial for meeting display space restrictions and highlighting content’s interest areas. Howe
Externí odkaz:
https://doaj.org/article/538d210247294a2e8dafefaa0c81db37
Publikováno v:
IEEE Access, Vol 12, Pp 86378-86390 (2024)
Blueberry fruit in the picking process are characterized by small fruit particles, similar color characteristics of immature fruits to leaf, and not obvious characteristics of fruits obscured by leaves, which lead to low real-time detection accuracy
Externí odkaz:
https://doaj.org/article/1348c450e6e84ac39bfc28b5017fa9e7
Publikováno v:
IEEE Access, Vol 12, Pp 85551-85564 (2024)
Video analysis has attracted the attention of many researchers because of the growing need for multimedia information retrieval for computer vision applications. Content based retrieval and object-based video retrieval are challenging because of the
Externí odkaz:
https://doaj.org/article/b78791d7c0da49cba14d50e12fefbade