Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Convolutional-Transformer"'
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-13 (2024)
Abstract Point cloud registration technology, by precisely aligning repair components with the original artifacts, can accurately record the geometric shape of cultural heritage objects and generate three-dimensional models, thereby providing reliabl
Externí odkaz:
https://doaj.org/article/1297302f449a4d0da64c4072dde3e244
Autor:
Jing-hao Qu, Xiao-ran Qin, Zi-jun Xie, Jia-he Qian, Yang Zhang, Xiao-nan Sun, Yu-zhao Sun, Rong-mei Peng, Ge-ge Xiao, Jing Lin, Xiao-yan Bian, Tie-hong Chen, Yan Cheng, Shao-feng Gu, Hai-kun Wang, Jing Hong
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-20 (2024)
Abstract Purpose To use artificial intelligence to establish an automatic diagnosis system for corneal endothelium diseases (CEDs). Methods We develop an automatic system for detecting multiple common CEDs involving an enhanced compact convolutional
Externí odkaz:
https://doaj.org/article/907cb87c13d344eaa306c071035b8f89
Autor:
Salma Kammoun Jarraya, Marwa Masmoudi
Publikováno v:
Applied Sciences, Vol 14, Iss 23, p 11458 (2024)
Computer vision using deep learning algorithms has served numerous human activity identification applications, particularly those linked to safety and security. However, even though autistic children are frequently exposed to danger as a result of th
Externí odkaz:
https://doaj.org/article/0b86dcf74f1c4039a00053effc709651
Publikováno v:
Bioengineering, Vol 11, Iss 11, p 1132 (2024)
In recent years, numerous studies have highlighted the pivotal importance of miRNAs in personalized healthcare, showcasing broad application prospects. miRNAs hold significant potential in disease diagnosis, prognosis assessment, and therapeutic targ
Externí odkaz:
https://doaj.org/article/5a9a62510b2446cf8f864e127f9e00da
Autor:
Mushrat Jahan, Md. Zahid Hasan, Ismot Jahan Samia, Kaniz Fatema, Md. Awlad Hossen Rony, Mohammad Shamsul Arefin, Ahmed Moustafa
Publikováno v:
IEEE Access, Vol 12, Pp 107719-107741 (2024)
Knee osteoarthritis (KOA) is a prevalent condition characterized by gradual progression, resulting in observable bone alterations in X-ray images. X-rays are the preferred diagnostic tool for their ease of use and cost-effectiveness. Physicians use t
Externí odkaz:
https://doaj.org/article/f45b4f6ba687442d94f49ff924911dec
Autor:
Md. Zahid Hasan, Sidratul Montaha, Inam Ullah Khan, Md. Mehedi Hassan, Abdullah Al Mahmud, A. K. M. Rakibul Haque Rafid, Sami Azam, Asif Karim, Spyridon Prountzos, Efthymia Alexopoulou, Umama Binta Ashraf, Sheikh Mohammed Shariful Islam
Publikováno v:
IEEE Access, Vol 12, Pp 31117-31135 (2024)
A novel automated multi-classification approach is proposed for the anticipation of lung abnormalities using chest X-ray and CT images. The study leverages a publicly accessible dataset with an insufficient and unbalanced number of images, addressing
Externí odkaz:
https://doaj.org/article/a59305e98d5c4b50aef996bbd44a962d
Autor:
Bolivar Núñez Montoya, Edwin Valarezo Añazco, Sara Guerrero, Mauricio Valarezo-Añazco, Daniela Espin-Ramos, Carlos Jiménez Farfán
Publikováno v:
Prosthesis, Vol 5, Iss 4, Pp 1287-1300 (2023)
The evolution of anthropomorphic robotic hands (ARH) in recent years has been sizable, employing control techniques based on machine learning classifiers for myoelectric signal processing. This work introduces an innovative multi-channel bio-signal t
Externí odkaz:
https://doaj.org/article/1bc784b650514a249a58d089d7fb202c
Autor:
B. N. Jagadesh, M. Ganesh Karthik, D. Siri, S. K. Khaja Shareef, Srihari Varma Mantena, Ramesh Vatambeti
Publikováno v:
IEEE Access, Vol 11, Pp 124441-124458 (2023)
Diabetic Retinopathy (DR) evaluations are increasingly being automated using artificial intelligence. Diabetes-related retinal vascular disease is a major cause of blindness and visual impairment worldwide. Therefore, automated DR detection devices w
Externí odkaz:
https://doaj.org/article/855d0a8645974e20bd43343c3e48833d
Publikováno v:
IEEE Access, Vol 11, Pp 140752-140762 (2023)
Diagnosing photovoltaic (PV) farms has become increasingly complex due to their large-scale presence in diverse environmental conditions. A comprehensive diagnosis process comprises four essential steps: detection, localization, classification, and r
Externí odkaz:
https://doaj.org/article/3fc4c9e869814b6ca04669a60f269520
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1335-1349 (2023)
In cross-domain hyperspectral image (HSI) classification, the labeled samples of the target domain are very limited, and it is a worthy attention to obtain sufficient class information from the source domain to categorize the target domain classes (b
Externí odkaz:
https://doaj.org/article/c715a990e19345799ec77cfdea0fb41c