Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Nagesh Vadaparthi"'
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::933b85a76f385bca87479e19865af111
https://doi.org/10.54302/mausam.v72i2.616
https://doi.org/10.54302/mausam.v72i2.616
Publikováno v:
Artificial Intelligence Review. 54:359-396
Growth in consumption of Oryza sativa (rice) has led the farmers across Asian countries to cultivate Oryza sativa, with an impact of 2.5 percent increase in the cultivation of the crop every year. Along with the growth in Oryza sativa cultivation, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93c2249e671da4cc614e4e7dfe50139f
https://doi.org/10.1007/s10462-020-09849-y
https://doi.org/10.1007/s10462-020-09849-y
Autor:
P. C. Praveen Kumar, Abhinav Dayal, Srinivas Yarramalle, Jude Hemanth, Sreenu Ponnada, Nagesh Vadaparthi
Visually impaired individuals are increasing and as per global statistics, around 39 million are blind, and 246 million are affected by low vision. Even in India, as per the recent reviews, over 5 million visually challenged people are present. Autho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64043b92f0c222d11d225819c994b34a
https://zenodo.org/record/5880039
https://zenodo.org/record/5880039
Publikováno v:
International Journal of Intelligent Engineering and Systems. 12:33-42
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32691b12416ded51d4a306726e8658db
https://doi.org/10.22266/ijies2019.1031.04
https://doi.org/10.22266/ijies2019.1031.04
Publikováno v:
Learning and Analytics in Intelligent Systems ISBN: 9783030243173
The importance of yield prediction in Andhra Pradesh is increasing day to day life. As most of the people in Andhra Pradesh depend on agricultural income, it is essential for the farmer to know the demand for each crop in gain Minimum Support Price (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2f55f51f234df7e40d01ed74590f617
https://doi.org/10.1007/978-3-030-24318-0_78
https://doi.org/10.1007/978-3-030-24318-0_78
Publikováno v:
International Journal of Engineering & Technology. 7:21
It is highly difficult to identify the emotions of a person. Literature accessible to recognize the emotions in case of immobilized personnel is limited to the outcome obtainable from the machines only. In this process, brain computer communication i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e73434e610b55d6653c874e37a8a8741
https://doi.org/10.14419/ijet.v7i2.19.12390
https://doi.org/10.14419/ijet.v7i2.19.12390
Publikováno v:
International Journal of Advanced Computer Science and Applications. 6
A novel approach for segmenting the MRI brain image based on Finite Truncated Skew Gaussian Mixture Model using Fuzzy C-Means algorithm is proposed. The methodology is presented evaluated on bench mark images. The obtained results are compared with v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87c1a13d27d11477a2335ea47e5ccfdf
https://doi.org/10.14569/ijacsa.2015.060725
https://doi.org/10.14569/ijacsa.2015.060725
Publikováno v:
SpringerBriefs in Applied Sciences and Technology ISBN: 9789812873378
Nowadays, information retrieval plays a vital role by allowing users to retrieve documents of their interest based on relevance score. Such systems can be implemented either in distributed systems or parallel systems to achieve high throughput. If su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71f5317e14a888fdfa6e947771e13098
https://doi.org/10.1007/978-981-287-338-5_9
https://doi.org/10.1007/978-981-287-338-5_9
Publikováno v:
2011 International Conference on Recent Trends in Information Technology (ICRTIT).
In this paper, a new medical image segmentation algorithm based on Skew Gaussian distribution is proposed. In brain images, it is necessary to classify the brain voxels into one of the 3 main tissues mainly Gray matter (GM), White matter (WM) and Cer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d48577009b43c67e78a40e66cb65e484
https://doi.org/10.1109/icrtit.2011.5972371
https://doi.org/10.1109/icrtit.2011.5972371
Publikováno v:
Advances in Digital Image Processing and Information Technology ISBN: 9783642240546
A novel segmentation algorithm for brain images is proposed using finite skew Gaussian mixture model. Recently, much work has been reported in medical image segmentation. Among these techniques, finite Gaussian mixture models are considered to be mor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e91a819661bf5dfb7d030db00988b6d2
https://doi.org/10.1007/978-3-642-24055-3_7
https://doi.org/10.1007/978-3-642-24055-3_7