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pro vyhledávání: '"K., Deeba"'
Autor:
Saravanan Srinivasan, Kirubha Durairaju, K. Deeba, Sandeep Kumar Mathivanan, P. Karthikeyan, Mohd Asif Shah
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-20 (2024)
Abstract Deep learning recently achieved advancement in the segmentation of medical images. In this regard, U-Net is the most predominant deep neural network, and its architecture is the most prevalent in the medical imaging society. Experiments cond
Externí odkaz:
https://doaj.org/article/426e89aee9464ca6b550e850b097c29d
Autor:
Dohare, Sushil, K., Deeba, Pamulaparthy, Laxmi, Abdufattokhov, Shokhjakhon, Naga Ramesh, Janjhyam Venkata, El-Ebiary, Yousef A. Baker, Thenmozhi, E.
Publikováno v:
International Journal of Advanced Computer Science & Applications; Jan2024, Vol. 15 Issue 1, p631-644, 14p
Akademický článek
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Akademický článek
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Autor:
K. Dhana Sree Devi, P. Karthikeyan, Usha Moorthy, K. Deeba, V. Maheshwari, Shaikh Muhammad Allayear
Publikováno v:
Mathematical Problems in Engineering. 2022:1-10
Microarray data are becoming a more essential source of gene expression data for interpretation and analysis. To improve the detection accuracy of tumors, the researchers try to use the lowest feasible collection of the most gene expression studies,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43c6e87c000a9179247b9f764010977c
https://doi.org/10.1155/2022/4092404
https://doi.org/10.1155/2022/4092404
Autor:
K., Deeba, Rama Devi, O., Al Ansari, Mohammed Saleh, Reddy, Bhargavi Peddi, H. T., Manohara, Baker El-Ebiary, Yousef A., Rengarajan, Manikandan
Publikováno v:
International Journal of Advanced Computer Science & Applications; 2023, Vol. 14 Issue 12, p586-595, 10p
Autor:
S. K. B. Sangeetha, V. Muthukumaran, K. Deeba, Hariharan Rajadurai, V. Maheshwari, Gemmachis Teshite Dalu
Publikováno v:
Computational Intelligence and Neuroscience.
The difficulty or cost of obtaining data or labels in applications like medical imaging has progressed less quickly. If deep learning techniques can be implemented reliably, automated workflows and more sophisticated analysis may be possible in previ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35878832a1a7704f13afa842d3ae9974
Autor:
T. Vinothkumar, K. Deeba
Publikováno v:
Soft Computing. 24:5345-5355
Renewable energy has gained its significance in the recent years due to the increasing power demand and the requirement in various distribution and utilization sectors. To meet the energy demand, renewable energy resources which include wind and sola
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1109f619a63bc878583686a8f7d839af
https://doi.org/10.1007/s00500-019-04292-w
https://doi.org/10.1007/s00500-019-04292-w
Publikováno v:
2021 5th International Conference on Computing Methodologies and Communication (ICCMC).
Over the years, many events of plant diseases have inflected suffering on untold millions of people worldwide by causing an estimated annual yield loss of 14% globally. Plant pathology is the science of plant diseases that attempts to improve the cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86a10f96462a155d29b4a2087e512ad1
https://doi.org/10.1109/iccmc51019.2021.9418268
https://doi.org/10.1109/iccmc51019.2021.9418268
Publikováno v:
2021 5th International Conference on Computing Methodologies and Communication (ICCMC).
Human Emotion Analysis is an extremely wide area of study which can have several implementations for various applications. To work on any kind of project related to Emotion detection it is imperative to collect information on the available models, da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::01e74b168cdf086a26474b8239873aa4
https://doi.org/10.1109/iccmc51019.2021.9418474
https://doi.org/10.1109/iccmc51019.2021.9418474