Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Vinoth Kumar, Venkatesan"'
Autor:
S. Roopashree, J. Anitha, Suryateja Challa, T. R. Mahesh, Vinoth Kumar Venkatesan, Suresh Guluwadi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Inadequate conservation of medicinal plants can affect their productivity. Traditional assessments and strategies are often time-consuming and linked with errors. Utilizing herbs has been an integral part of the traditional system of medicin
Externí odkaz:
https://doaj.org/article/f24431f92618447b804f7ff21c59114d
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:
Mahesh T R, Arastu Thakur, Muskan Gupta, Deepak Kumar Sinha, Kritika Kumari Mishra, Vinoth Kumar Venkatesan, Suresh Guluwadi
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-18 (2024)
Abstract Breast cancer stands as a paramount public health concern worldwide, underscoring an imperative necessity within the research sphere for precision-driven and efficacious methodologies facilitating accurate detection. The existing diagnostic
Externí odkaz:
https://doaj.org/article/af9d4d50327040d0b7d0248d8f5e20d5
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
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Vinoth Kumar Venkatesan, Karthick Raghunath Kuppusamy Murugesan, Kaladevi Amarakundhi Chandrasekaran, Mahesh Thyluru Ramakrishna, Surbhi Bhatia Khan, Ahlam Almusharraf, Abdullah Albuali
Publikováno v:
Diagnostics, Vol 13, Iss 22, p 3452 (2023)
Prompt diagnostics and appropriate cancer therapy necessitate the use of gene expression databases. The integration of analytical methods can enhance detection precision by capturing intricate patterns and subtle connections in the data. This study p
Externí odkaz:
https://doaj.org/article/c914ef3db6ea4b5e8a7b58adb1af851e
Autor:
Bharanidharan Nagarajan, Sannasi Chakravarthy, Vinoth Kumar Venkatesan, Mahesh Thyluru Ramakrishna, Surbhi Bhatia Khan, Shakila Basheer, Eid Albalawi
Publikováno v:
Diagnostics, Vol 13, Iss 22, p 3461 (2023)
One of the most prevalent cancers is oral squamous cell carcinoma, and preventing mortality from this disease primarily depends on early detection. Clinicians will greatly benefit from automated diagnostic techniques that analyze a patient’s histop
Externí odkaz:
https://doaj.org/article/53c716c55d594a3ea520916e92aaaf46
Autor:
Umamaheswaran Subashchandrabose, Rajan John, Usha Veerasamy Anbazhagu, Vinoth Kumar Venkatesan, Mahesh Thyluru Ramakrishna
Publikováno v:
Diagnostics, Vol 13, Iss 19, p 3053 (2023)
The early detection and classification of lung cancer is crucial for improving a patient’s outcome. However, the traditional classification methods are based on single machine learning models. Hence, this is limited by the availability and quality
Externí odkaz:
https://doaj.org/article/02e68aba2d1b4e20b6acf2f6eb17acb5
Autor:
Vinoth Kumar Venkatesan, Mahesh Thyluru Ramakrishna, Ivan Izonin, Roman Tkachenko, Myroslav Havryliuk
Publikováno v:
Applied Sciences, Vol 13, Iss 5, p 2885 (2023)
It is a serious global health concern that chronic kidney disease (CKD) kills millions of people each year as a result of poor lifestyle choices and inherited factors. Effective prediction tools for prior detection are essential due to the growing nu
Externí odkaz:
https://doaj.org/article/1fcc61cae6344b37ad76673181e90e1a
Autor:
Rajesh Natarajan, Gururaj Harinahallo Lokesh, Francesco Flammini, Anitha Premkumar, Vinoth Kumar Venkatesan, Shashi Kant Gupta
Publikováno v:
Infrastructures, Vol 8, Iss 2, p 22 (2023)
Background: The Internet of Medical Things, often known as IoMT, is a revolutionary method of connecting medical equipment and the software that operates on it to the computer networks that are used in healthcare 5.0. The rapid development of smart m
Externí odkaz:
https://doaj.org/article/b08ba99f9bbf4991958b32aab24ec368