Zobrazeno 1 - 10
of 80
pro vyhledávání: '"D. Bhavana"'
Publikováno v:
Indian Journal of Pure & Applied Physics; Apr2024, Vol. 62 Issue 4, p267-273, 7p
Publikováno v:
Earth Science Informatics. 16:91-104
Autor:
D. Bhavana, Priyanka Yadlapalli
Publikováno v:
Scalable Computing: Practice and Experience. 23:403-420
Medical image processing involves using and examining 3D human body images, which are most frequently acquired through a computed tomography scanner, to diagnose disorders. Medical image process- ing helps radiologists, engineers, and clinicians bett
Autor:
D. Bhavana, A Rajesh Naidu
Publikováno v:
Scalable Computing: Practice and Experience. 23:225-232
In a variety of clinical applications, image fusion is critical for merging data from multiple sources into a single, more understandable outcome. The use of medical image fusion technologies to assist the physician in executing combination procedure
Publikováno v:
World Journal of Advanced Research and Reviews. 16:998-1001
In earlier days, data was accessible through our electronic devices. Our device is similar to the daily mirror, but with advanced technology like displaying the weather forecast, temperature, time, and daily news. Using the Raspberry Pi, data will be
Publikováno v:
Ecology, Environment and Conservation. :S471-S480
This study was conducted to investigate the effect of insecticides with different mode of actions and differenttoxicity levels against coccinellids and spiders in rice ecosystem at Regional Agricultural Research Station,Warangal during rabi, 2020-21
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
International journal of health sciences. :5631-5645
Early detection of individuals susceptible to Schizophrenia (SZ) is critical for early intervention, which can reduce the risk of psychosis. This research proposes a deep learning method for classifying EEG data by picking important discriminative EE
Publikováno v:
Advances in Cognitive Science and Communications ISBN: 9789811980855
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c276920a1cdb44ba6e2a701624fab1b3
https://doi.org/10.1007/978-981-19-8086-2_12
https://doi.org/10.1007/978-981-19-8086-2_12
Publikováno v:
International Journal of Intelligent Computing and Cybernetics. 15:345-362
PurposeComputed tomography (CT) scan can provide valuable information in the diagnosis of lung diseases. To detect the location of the cancerous lung nodules, this work uses novel deep learning methods. The majority of the early investigations used C