Zobrazeno 1 - 10
of 73
pro vyhledávání: '"N. Bharanidharan"'
Autor:
S. R. Sannasi Chakravarthy, N. Bharanidharan, C. Vinothini, Venkatesan Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-23 (2024)
Abstract A recent global health crisis, COVID-19 is a significant global health crisis that has profoundly affected lifestyles. The detection of such diseases from similar thoracic anomalies using medical images is a challenging task. Thus, the requi
Externí odkaz:
https://doaj.org/article/a5e896ff2c0f423798a28531a9068635
Autor:
Sannasi Chakravarthy, N. Bharanidharan, Surbhi Bhatia Khan, V. Vinoth Kumar, T. R. Mahesh, Ahlam Almusharraf, Eid Albalawi
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-19 (2024)
Abstract Breast cancer has become the leading cause of cancer mortality among women worldwide. The timely diagnosis of such cancer is always in demand among researchers. This research pours light on improving the design of computer-aided detection (C
Externí odkaz:
https://doaj.org/article/b1bc3f6060644f508ed0d0468f0b6174
Autor:
S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, Suresh Guluwadi
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Breast Cancer is a significant global health challenge, particularly affecting women with higher mortality compared with other cancer types. Timely detection of such cancer types is crucial, and recent research, employing deep learning techn
Externí odkaz:
https://doaj.org/article/1507abf64dcd4f31a26eb8fbac756db2
Autor:
S. R. Sannasi Chakravarthy, N. Bharanidharan, V. Vinoth Kumar, T. R. Mahesh, Surbhi Bhatia Khan, Ahlam Almusharraf, Eid Albalawi
Publikováno v:
IEEE Access, Vol 12, Pp 79776-79786 (2024)
Nowadays, the advancements of wearable consumer devices have become a predominant role in healthcare gadgets. There is always a demand to obtain robust recognition of heterogeneous human activities in complicated IoT environments. The knowledge attai
Externí odkaz:
https://doaj.org/article/046b8c670054408184a1f98bec66f36e
Autor:
N. Bharanidharan, S. R. Sannasi Chakravarthy, Vinoth Kumar Venkatesan, Mohamed Abbas, T. R. Mahesh, E. Mohan, Krishnamoorthy Venkatesan
Publikováno v:
IEEE Access, Vol 12, Pp 39285-39299 (2024)
Gene expression analysis can be used as a tool to detect cancer and the type of cancer in its early stages. However, the computational complexity for gene expression analysis is quite high due to the large amount of numerical data. Hence, dimensional
Externí odkaz:
https://doaj.org/article/7ab98ced2df543f4a7786cd88221ce0e
Autor:
S. R. Sannasi Chakravarthy, N. Bharanidharan, Vinoth Kumar Venkatesan, Mohamed Abbas, Harikumar Rajaguru, T. R. Mahesh, Krishnamoorthy Venkatesan
Publikováno v:
IEEE Access, Vol 11, Pp 140900-140913 (2023)
Water is a predominant source in the survival and development of all human lives. On top of all, predicting water quality is a significant one since water is essential in regulating our human body. In recent days, the advent of machine learning techn
Externí odkaz:
https://doaj.org/article/e280987f333d4e358b101f353ffad7f4
Autor:
N. Bharanidharan, S. R. Sannasi Chakravarthy, Harikumar Rajaguru, V. Vinoth Kumar, T. R. Mahesh, Suresh Guluwadi
Publikováno v:
IEEE Access, Vol 11, Pp 109477-109487 (2023)
Pests and diseases are the big issues in paddy production and they make the farmers to lose around 20% of rice yield world-wide. Identification of rice leaves diseases at early stage through thermal image cameras will be helpful for avoiding such los
Externí odkaz:
https://doaj.org/article/5d9daeb7a80640d5a6a9b71c355978c5
Publikováno v:
Multimedia Tools and Applications.
Publikováno v:
IETE Journal of Research. :1-16
Publikováno v:
IRBM. 44:100749