Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Iyyakutti Iyappan Ganapathi"'
Autor:
Fayaz Ali Dharejo, Basit Alawode, Iyyakutti Iyappan Ganapathi, Le Wang, Ajmal Mian, Radu Timofte, Sajid Javed
Publikováno v:
IEEE Access, Vol 12, Pp 131083-131099 (2024)
By improving image quality and resolution, Single Image Super-Resolution (SISR) models help advance understanding of underwater environments. Super-resolution techniques hold promise in addressing these issues by enhancing image details. The transfor
Externí odkaz:
https://doaj.org/article/e49753f9bf9d4356a40b5ce874349b12
Autor:
Neha Gour, Taimur Hassan, Muhammad Owais, Iyyakutti Iyappan Ganapathi, Pritee Khanna, Mohamed L. Seghier, Naoufel Werghi
Publikováno v:
Brain Informatics, Vol 10, Iss 1, Pp 1-13 (2023)
Abstract Early identification of mental disorders, based on subjective interviews, is extremely challenging in the clinical setting. There is a growing interest in developing automated screening tools for potential mental health problems based on bio
Externí odkaz:
https://doaj.org/article/525f8d6e6bcc49658b69071a92e1c230
Publikováno v:
ACM Computing Surveys. 55:1-36
Human recognition with biometrics is a rapidly emerging area of computer vision. Compared to other well-known biometric features such as the face, fingerprint, iris, and palmprint, the ear has recently received considerable research attention. The ea
Autor:
Iyyakutti Iyappan Ganapathi, Sajid Javed, Syed Sadaf Ali, Arif Mahmood, Ngoc-Son Vu, Naoufel Werghi
Publikováno v:
Neurocomputing. 512:25-39
Autor:
Vivek Singh Baghel, Naoufel Werghi, Surya Prakash, Syed Sadaf Ali, Son Vu, Iyyakutti Iyappan Ganapathi
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. 10:1918-1931
Autor:
Karthika Ganesan, Chilambuchelvan A, Iyyakutti Iyappan Ganapathi, Sajid Javed, Naoufel Werghi
Publikováno v:
Applied Intelligence. 53:11618-11635
Publikováno v:
2023 IEEE 12th International Conference on Communication Systems and Network Technologies (CSNT).
Publikováno v:
Ganapathi, I I, Javed, S, Fisher, R B & Werghi, N 2022, Graph Based Texture Pattern Classification . in 2022 8th International Conference on Virtual Reality (ICVR) . 2022 8th International Conference on Virtual Reality (ICVR), Institute of Electrical and Electronics Engineers (IEEE), pp. 363-369, The 8th International Conference on Virtual Reality, 2022, Nanjing, China, 26/05/22 . https://doi.org/10.1109/ICVR55215.2022.9847889
Textures in 3D meshes represent intrinsic surface properties and are essential for various applications, including retrieval, segmentation, and classification. However, it is distinct from other types of 3D object analysis. The primary objective is t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4611195375764b703b87175d71299c3
https://hdl.handle.net/20.500.11820/5156aa8f-d1c5-4556-9eca-293b91f7b7d0
https://hdl.handle.net/20.500.11820/5156aa8f-d1c5-4556-9eca-293b91f7b7d0
Publikováno v:
IEEE Transactions on Emerging Topics in Computing. 9:612-625
Fingerprint matching is one of the extensively used tools to authenticate users. It has been accepted by governments of various countries to authenticate their citizens. The common practice in a fingerprint based system is to store minutiae points of
Publikováno v:
Pattern Recognition Letters. 129:263-270
The minutiae points information of a fingerprint is generally saved directly in the database as a template for the user. It has been deduced through numerous research works that the original fingerprint of a user can be obtained from the minutiae poi