Zobrazeno 1 - 10
of 1 058
pro vyhledávání: '"coordinate attention"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The continuous advancement of autonomous driving technology imposes higher demands on the accuracy of target detection in complex environments, particularly when traffic targets are occluded. Existing algorithms still face significant challe
Externí odkaz:
https://doaj.org/article/5b88c25ebbeb4176bd2b9b965300e346
Autor:
Chengyu Hu, Jianxin Guo, Hanfei Xie, Qing Zhu, Baoxi Yuan, Yujie Gao, Xiangyang Ma, Jialu Chen
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-28 (2024)
Abstract Compared to the surface defect detection of industrial products produced according to specified processes, the detection of surface defects in naturally grown red jujubes poses unique and significant challenges for researchers. The high dive
Externí odkaz:
https://doaj.org/article/be62f9ec8aa64e3ab6d99f9743611c2a
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract Fall behavior is closely related to the high mortality rate of the elderly, so fall detection has become an important and urgent research area in human behavior recognition. However, the existing fall detection methods, suffer from the loss
Externí odkaz:
https://doaj.org/article/5651f9e4c6194d8eafc210554cee29d8
Publikováno v:
BMC Pulmonary Medicine, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Purpose Currently, deep learning methods for the classification of benign and malignant lung nodules encounter challenges encompassing intricate and unstable algorithmic models, limited data adaptability, and an abundance of model parameters
Externí odkaz:
https://doaj.org/article/15efa1d855684a17bb036177f1b12131
Publikováno v:
Foundations of Computing and Decision Sciences, Vol 49, Iss 3, Pp 261-285 (2024)
Surface defect detection on wafers is crucial for quality control in semiconductor manufacturing. However, the complexity of defect spatial features, including mixed defect types, large scale differences, and overlapping, results in low detection acc
Externí odkaz:
https://doaj.org/article/ffb2049080734790938cceac72d76b0c
Autor:
Ajantha Vijayakumar, Subramaniyaswamy Vairavasundaram, Joseph Abraham Sundar Koilraj, Muthaiah Rajappa, Ketan Kotecha, Ambarish Kulkarni
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-23 (2024)
Abstract Defect detection in pharmaceutical blister packages is the most challenging task to get an accurate result in detecting defects that arise in tablets while manufacturing. Conventional defect detection methods include human intervention to ch
Externí odkaz:
https://doaj.org/article/88a4ddd509c649bba5d0667c998595cd
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract The second most common type of malignant tumor worldwide is colorectal cancer. Histopathology image analysis offers crucial data for the clinical diagnosis of colorectal cancer. Currently, deep learning techniques are applied to enhance canc
Externí odkaz:
https://doaj.org/article/3f21e671331449e3b14f8ddc859274da
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Objective There are two major issues in the MRI image diagnosis task for Parkinson's disease. Firstly, there are slight differences in MRI images between healthy individuals and Parkinson's patients, and the medical field has not yet establi
Externí odkaz:
https://doaj.org/article/841d329401494f549a3d4c8cb827bf0d
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Renal tumors are one of the common diseases of urology, and precise segmentation of these tumors plays a crucial role in aiding physicians to improve diagnostic accuracy and treatment effectiveness. Nevertheless, inherent challenges associat
Externí odkaz:
https://doaj.org/article/bf69b8e9e82f4c4cbbf038b579fbda44
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract Pneumonia is a serious disease that can be fatal, particularly among children and the elderly. The accuracy of pneumonia diagnosis can be improved by combining artificial-intelligence technology with X-ray imaging. This study proposes X-ODFC
Externí odkaz:
https://doaj.org/article/7cc46fc247bd4114a586c6da2493660e