Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Vadamodula Prasad"'
Publikováno v:
The Imaging Science Journal. :1-21
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::04b0ebffc3505c17b3ba06b47a0859d2
https://doi.org/10.1080/13682199.2023.2208963
https://doi.org/10.1080/13682199.2023.2208963
Publikováno v:
Communication Software and Networks ISBN: 9789811553967
In the modern world, the growth of technology is exponential. Artificial Intelligence (AI) and Machine Learning (ML) are evolving rapidly day by day. The evolving AI applications are super smart and definitely usable for layman. In such application,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ff861275c85d49e915abdc4e163f92f
https://doi.org/10.1007/978-981-15-5397-4_11
https://doi.org/10.1007/978-981-15-5397-4_11
Autor:
Kerru Jeevan Vamsi, Vadamodula Prasad
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811538278
According to the fast-growing world, people are completely dependent of technology and mobile applications. In this regard, a hindrance is required at all levels to provide the information about railways through the specific application. This applica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::93caf03d34b80c005346e576b18deca8
https://doi.org/10.1007/978-981-15-3828-5_14
https://doi.org/10.1007/978-981-15-3828-5_14
Autor:
Siva Krishna Dasari, Vadamodula Prasad
Publikováno v:
International Journal of Information Technology. 11:107-117
In this paper, a solution is defined based on convolutional neural networks (CNN) for the grading of flue-cured tobacco leaves. A performance analysis of CNN on 120 samples of cured tobacco leaves is reduced from 1450 × 1680 Red–Green–Blue (RGB)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce44a8f6cfae2b379dfc0fe3470e6742
https://doi.org/10.1007/s41870-018-0174-4
https://doi.org/10.1007/s41870-018-0174-4
Publikováno v:
Personalized Medicine Universe. 5:32-40
Patients with thyroid disease (TD) boast continuously increasing because of excessive growth of thyroid gland and its hormones. Automatic classification tools may reduce the burden on doctors. This paper evaluates the selected algorithms for predicti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12392c187ae951ecf114c75e6be6c505
https://doi.org/10.1016/j.pmu.2015.09.001
https://doi.org/10.1016/j.pmu.2015.09.001
Publikováno v:
International Journal of Computer Applications. 119:34-38
In this paper, we diagnose disease by implementing principal component analysis based on the user entered values for various symptoms. It considers components from the user entered values and compares them with the values in the database. Here the di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66c9e059fb0e85808f3769a57edeb839
https://doi.org/10.5120/21106-3833
https://doi.org/10.5120/21106-3833
Publikováno v:
Soft Computing. 20:1179-1189
This work is a hybrid architecture design furnished successfully using artificial intelligence techniques, rough data sets theory and machine learning algorithms. The purpose of this work is to bring the spotless and smart approach in identifying the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dcfa5e1a2a82d3b7e1b5c47ecf5ebb1
https://doi.org/10.1007/s00500-014-1581-5
https://doi.org/10.1007/s00500-014-1581-5
Publikováno v:
Data-Enabled Discovery and Applications. 1
The proposed work assesses the composed mixture of machine learning algorithms(MLA) mentioned as principal component analysis (PCA) and kernel principal component analysis (KPCA) along with vapnik chervonenkis theory (VCT) on the datasets. The main h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0cda62a5bd9cb6c8fd6605e94658583a
https://doi.org/10.1007/s41688-017-0006-x
https://doi.org/10.1007/s41688-017-0006-x
Publikováno v:
International Journal of Computer Applications. 102:41-47
This paper presents a collection of 28 pristine symptoms which are used for the identification of Hyperthyroid disease which are heartwarming to humankind. Ghastly, Hyperthyroid affect people without being noticed until the end. In this Health Diagno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f9788419b3511b6a32ce2b1e5eba899
https://doi.org/10.5120/17799-8611
https://doi.org/10.5120/17799-8611