Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Gemmachis Teshite Dalu"'
Autor:
Saravanan Srinivasan, Subathra Gunasekaran, Sandeep Kumar Mathivanan, Benjula Anbu Malar M. B, Prabhu Jayagopal, Gemmachis Teshite Dalu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-3 (2024)
Externí odkaz:
https://doaj.org/article/94bce6e41525417b9c8adabd34d48360
Autor:
Prabhu Jayagopal, Kumar Purushothaman Janaki, Prakash Mohan, Upendra Babu Kondapaneni, Jayalakshmi Periyasamy, Sandeep Kumar Mathivanan, Gemmachis Teshite Dalu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Our environment has been significantly impacted by climate change. According to previous research, insect catastrophes induced by global climate change killed many trees, inevitably contributing to forest fires. The condition of the forest i
Externí odkaz:
https://doaj.org/article/cf329aadc39f48b39b1dbeba3859658e
Autor:
Thangamani M, Manjula Sanjay Koti, Nagashree B.A, Geetha V, Shreyas K.P, Sandeep Kumar Mathivanan, Gemmachis Teshite Dalu
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Lung cancer is thought to be a genetic disease with a variety of unknown origins. Globocan2020 report tells in 2020 new cancer cases identified was 19.3 million and nearly 10.0 million died owed to cancer. GLOBOCAN envisages that the cancer
Externí odkaz:
https://doaj.org/article/7e6419dcb32b4d918a27c08323192040
Autor:
Baiju Babu Vimala, Saravanan Srinivasan, Sandeep Kumar Mathivanan, Mahalakshmi, Prabhu Jayagopal, Gemmachis Teshite Dalu
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-17 (2023)
Abstract Accurately classifying brain tumor types is critical for timely diagnosis and potentially saving lives. Magnetic Resonance Imaging (MRI) is a widely used non-invasive method for obtaining high-contrast grayscale brain images, primarily for t
Externí odkaz:
https://doaj.org/article/12d914a4a7da4be9b0feb8408a278eca
Autor:
Saravanan Srinivasan, Sundaranarayana Dayalane, Sandeep kumar Mathivanan, Hariharan Rajadurai, Prabhu Jayagopal, Gemmachis Teshite Dalu
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-17 (2023)
Abstract The electroencephalogram (EEG) has emerged over the past few decades as one of the key tools used by clinicians to detect seizures and other neurological abnormalities of the human brain. The proper diagnosis of epilepsy is crucial due to it
Externí odkaz:
https://doaj.org/article/afb09138c05b4924ab519b7e3f940271
Autor:
Saravanan Srinivasan, Subathra Gunasekaran, Sandeep Kumar Mathivanan, Benjula Anbu Malar M. B, Prabhu Jayagopal, Gemmachis Teshite Dalu
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract Heart disease is a significant global cause of mortality, and predicting it through clinical data analysis poses challenges. Machine learning (ML) has emerged as a valuable tool for diagnosing and predicting heart disease by analyzing health
Externí odkaz:
https://doaj.org/article/75e6a3f03a1b4c5c91d281a0f60bde0c
Autor:
S. K. B. Sangeetha, Sandeep Kumar Mathivanan, Thanapal Pandi, K. Arivu selvan, Prabhu Jayagopal, Gemmachis Teshite Dalu
Publikováno v:
Mathematical Problems in Engineering. 2022:1-6
The complexity of multimedia content, particularly images, has risen dramatically in recent years, and millions of images are shared on social media every day. Finding or retrieving an appropriate image is becoming more difficult due to the increase
Autor:
S. K. B. Sangeetha, M. Sandeep Kumar, Deeba K, Hariharan Rajadurai, V. Maheshwari, Gemmachis Teshite Dalu
Publikováno v:
Computational and Mathematical Methods in Medicine.
As a result of the COVID-19 outbreak, which has put the world in an unprecedented predicament, thousands of people have died. Data from structured and unstructured sources are combined to create user-friendly platforms for clinicians and researchers
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