Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Vijayarajan Rajangam"'
Autor:
Kunwu Ma, Alex Noel Joseph Raj, Vijayarajan Rajangam, Tardi Tjahjadi, Minying Liu, Zhemin Zhuang
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 3445-3458 (2024)
Abstract The retinal impulse signal is the basic carrier of visual information. It records the distribution of light on the retina. However, its direct conversion to a scene image is difficult due to the nonlinear characteristics of its distribution.
Externí odkaz:
https://doaj.org/article/b54e2bf03de14e918022e7b678237a00
Autor:
V. P. Nasheeda, Vijayarajan Rajangam
Publikováno v:
IEEE Access, Vol 12, Pp 110550-110562 (2024)
The central nervous system is affected by multiple sclerosis (MS) which destroys the neurocommunication. Among the diagnostic imaging systems, magnetic resonance imaging is the most preferred one to track new and enlarged MS lesions. In this paper, w
Externí odkaz:
https://doaj.org/article/f2d2af81ee1a4be89f5d5a7cb6ccf497
Autor:
Zihao Chen, Alex Noel Joseph Raj, Vijayarajan Rajangam, Wei Li, Vijayalakshmi G.V. Mahesh, Zhemin Zhuang
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 3, Pp 87-102 (2023)
Convolutional neural networks are given extensive attention towards noise removal due to their good performance over traditional denoising algorithms. With shallow conventional neural networks, the feature extraction ability is not profound. While em
Externí odkaz:
https://doaj.org/article/2672e1df918b4b41bc425350299792fe
Publikováno v:
IEEE Access, Vol 10, Pp 88787-88797 (2022)
Medical image analysis is a critical job for clinicians and radiologists to attain minute insights for proper diagnosis. The presence of complementary details of the region of interest (ROI) from multiple medical imaging modalities instigates the res
Externí odkaz:
https://doaj.org/article/9c9259ed48bf478e9ddde8874fbd618f
Autor:
Vijayalakshmi G. V. Mahesh, Chengji Chen, Vijayarajan Rajangam, Alex Noel Joseph Raj, Palani Thanaraj Krishnan
Publikováno v:
IEEE Access, Vol 9, Pp 52509-52522 (2021)
Facial expression recognition (FER) requires better descriptors to represent the face patterns as the facial region changes due to the movement of the face muscles during an expression. In this paper, a method of concatenating spatial pyramid Zernike
Externí odkaz:
https://doaj.org/article/fb05f9f07c5241e99c3f4173e850b34e
Publikováno v:
Futuristic Communication and Network Technologies ISBN: 9789811983375
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::466173f826b62c97a9a74aa41b5fe702
https://doi.org/10.1007/978-981-19-8338-2_21
https://doi.org/10.1007/978-981-19-8338-2_21
Autor:
Fenlan Li, Alex Noel Joseph Raj, Vijayarajan Rajangam, Zhemin Zhuang, Shuxin Zhuang, Wenbin Rao
Publikováno v:
Computational Intelligence and Neuroscience
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Computational Intelligence and Neuroscience, Vol 2021 (2021)
Many methods have been developed to derive respiration signals from electrocardiograms (ECGs). However, traditional methods have two main issues: (1) focusing on certain specific morphological characteristics and (2) not considering the nonlinear rel
Publikováno v:
2022 4th International Conference on Biomedical Engineering (IBIOMED).
As the internet of things and cloud computing create new technological revolutions in the field of healthcare, the issues such as security, privacy, authentication, the integrity of patient data, and medical images become sensitive. This chapter prop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ae0a5aba97f1470a88d726475cdb3eb
https://doi.org/10.4018/978-1-6684-4558-7.ch009
https://doi.org/10.4018/978-1-6684-4558-7.ch009
Publikováno v:
Arabian Journal for Science and Engineering. 46:9797-9808
Skin cancer is one of the most deadly diseases around the world, wherein one of the three cancers is skin cancer. Early detection of skin cancer is paramount for better treatment planning. This paper investigates a Convolutional Neural Network (CNN),