Zobrazeno 1 - 10
of 68
pro vyhledávání: '"G. Lavanya Devi"'
Autor:
P. Ramakrishna Phani, T.M. Balakrishnan Nair, G. Lavanya Devi, J. Padmanabham, V. Venugopala Rao, Mohanlal Malvi, Pankaj Gupta
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
Uninterrupted communication during pre-disaster preparedness and post-disaster recovery greatly reduces mortality. Unfortunately, during natural calamities, communication becomes void as terrestrial communication infrastructure is destroyed and becom
Externí odkaz:
https://doaj.org/article/2677eb83dd1a4343a7933fb1550a4f92
Autor:
Naresh Nelaturi, G . Lavanya Devi
Publikováno v:
Journal of Engineering Science and Technology Review, Vol 11, Iss 3, Pp 89-96 (2018)
Externí odkaz:
https://doaj.org/article/9e7d88f1e14e40688adc397599238b13
Publikováno v:
2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT).
Publikováno v:
The International Journal of Innovative Technology and Exploring Engineering. 10:143-147
In recent days Machine Learning has become major study aspect in various applications that includes medical care where convenient discovery of anomalies in ECG signals plays an important role in monitoring patient's condition regularly. This study co
Publikováno v:
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom).
Autor:
T. Sunitha, G. Lavanya Devi
Publikováno v:
2022 International Conference on Electronics and Renewable Systems (ICEARS).
Autor:
P. Rama Santosh Naidu, G. Lavanya Devi
Publikováno v:
HELIX. 10:81-86
Time matters the most in medical diagnosis. Therefore, ECG has been extensively used in diagnosis and precise identification of several cardiac conditions. As continuation to the previous work, which concerned about feature extraction and classificat
Autor:
P. Rama Santosh Naidu, G. Lavanya Devi
Publikováno v:
HELIX. 10:75-80
Based on current medical applications, classification of The ECG signs performs a crucial role in the diagnosis of heart disease. The challenging part is to obtain an accurate classification of ECG. There are Machine learning algorithms available tha
Autor:
Venubabu Rachapudi, G. Lavanya Devi
Publikováno v:
Evolutionary Intelligence. 14:1337-1343
Histopathological image classification is one of the important application areas of medical imaging. However, an accurate and efficient classification is still an open-ended research due to the complexity in histopathological images. For the same, th
Publikováno v:
International Journal of Information Engineering and Electronic Business. 12:37-43