Zobrazeno 1 - 10
of 62
pro vyhledávání: '"K. Kartheeban"'
Autor:
M. Shimja, K. Kartheeban
Publikováno v:
Automatika, Vol 65, Iss 1, Pp 312-322 (2024)
The diagnosis of lung disease is a challenging process that frequently combines clinical information, such as patient symptoms, medical history and test findings, with medical imaging, like X-rays or CT scans. The classification of lung diseases is v
Externí odkaz:
https://doaj.org/article/e96f4e6717db405d84ceb9fc26d18c18
Autor:
M. Shimja, K. Kartheeban
Publikováno v:
Automatika, Vol 65, Iss 1, Pp 192-205 (2024)
A fast and precise diagnosis is crucial for the treatment and management of lung diseases, which are a major global cause of morbidity and mortality. Medical diagnosis and treatment planning depend heavily on the classification of lung diseases. The
Externí odkaz:
https://doaj.org/article/d14d2a1789754f929708f69989857db7
Autor:
Bobba, Kumar Srinivas, K, Kartheeban, Sai, Vamsi Krishna, Bugga, Dinesh, Bolla, Vijaya Mani Surendra
This project proposes the development of a comprehensive real-time biodiversity monitoring system that harnesses sound data through a network of acoustic sensors and advanced artificial intelligence algorithms. The system analyzes sound recordings fr
Externí odkaz:
http://arxiv.org/abs/2410.12897
Autor:
Bobba, Kumar Srinivas, K, Kartheeban, Boddu, Vamsi Krishna Sai, Bolla, Vijaya Mani Surendra, Bugga, Dinesh
As able-bodied people, we often take our vision for granted. For people who are visually impaired, however, their disability can have a significant impact on their daily lives. We are developing proprietary headgear that will help visually impaired p
Externí odkaz:
http://arxiv.org/abs/2311.03395
Publikováno v:
Recent Trends in Computational Intelligence and Its Application ISBN: 9781003388913
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e2076f643135f988c6dac8e2937a6616
https://doi.org/10.1201/9781003388913-6
https://doi.org/10.1201/9781003388913-6
Publikováno v:
Machine Intelligence for Internet of Medical Things: Applications and Future Trends ISBN: 9789815080445
Booming growth of ubiquitous connections and clinical computerization in the 5th generation mobile communication era, the explosive increase and heterogeneity of clinical information have delivered enormous demanding situations to information process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9542125fa05fbed55768a8b0f1c812c2
https://doi.org/10.2174/9789815080445123020007
https://doi.org/10.2174/9789815080445123020007
Autor:
S. Asif, K. Kartheeban
Publikováno v:
International Journal of Sensors, Wireless Communications and Control. 13
Abstract: Most people consider traffic congestion to be a major issue since it increases noise, pollution, and time wastage. Traffic congestion is caused by dynamic traffic flow, which is a serious concern. The current normal traffic light system is
Autor:
R. Anantha Kumar, K. Kartheeban
Publikováno v:
Journal of Parallel and Distributed Computing. 158:213-226
Cloud resources provide various categories of (VM) virtual machine requests which is assigned with clients for an exact timespan. Currently, the method of VM scheduling within the Cloud environment is decided by a fixed-price scheduling algorithm, du
Publikováno v:
2022 International Conference on Automation, Computing and Renewable Systems (ICACRS).
Autor:
V. Vanthana, K. Kartheeban
Publikováno v:
2022 International Conference on Automation, Computing and Renewable Systems (ICACRS).