Výsledky vyhledávání - "Vadamodula Prasad"

Unique Identification Authority of India BOT: An Intelligent Application Using Artificial Intelligence Approach

Autor: K. Viswanadh, P. V. N. Mahesh, Vadamodula Prasad, M. Vineeth Kumar

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

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Design and Development of Hindrance Application Using Vocal and Quick Responsible Code for Railway

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

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A novel and proposed comprehensive methodology using deep convolutional neural networks for flue cured tobacco leaves classification

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

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Improvised prophecy using regularization method of machine learning algorithms on medical data

Autor: T. Srinivasa Rao, P. V. G. D. Prasad Reddy, Vadamodula Prasad

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

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Standard Cog Exploration on Medicinal Data

Autor: Thamada Srinivasa Rao, Vadamodula Prasad, Ankit Kumar Surana

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

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Thyroid disease diagnosis via hybrid architecture composing rough data sets theory and machine learning algorithms

Autor: Vadamodula Prasad, T. Srinivasa Rao, M. Surendra Prasad Babu

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

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Permissible thyroid datasets assessment through kernel PC Algorithm and Vapnik Chervonenkis theory for categorization and classification

Autor: Vadamodula Prasad, Tamada Srinivasa Rao

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

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Health Diagnosis Expert Advisory System on Trained Data Sets for Hyperthyroid

Autor: Vadamodula Prasad, A Veera Reddy, B Chaitanya, T. Srinivasa Rao

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

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