Zobrazeno 1 - 10 of 15 pro vyhledávání: '"M. V. P. Chandra Sekhara Rao"'
1
Prediction of Accuracy in Emergency Health Records using Hybrid Machine Learning Model
Autor: M. V. P. Chandra Sekhara Rao, Shanthi Mahesh, G. S. Raghavendra
Publikováno v: Journal of Pharmaceutical Research International. :206-212
The quantity of digital information contained in electronic health records(EHR) has increased dramatically during the last ten years. Numerous researchers have discovered that these records may be used for a variety of other purposes as well, includi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cd1744a26ebd634e0f2a82886aeea374
https://doi.org/10.9734/jpri/2021/v33i58a34107
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6
An integrated approach to emotion recognition and gender classification
Autor: M. V. P. Chandra Sekhara Rao, N. Hemanth Chowdary, K. Prasada Rao
Publikováno v: Journal of Visual Communication and Image Representation. 60:339-345
The human-computer communication adds to worldwide access to training, information upgrade and the conveyance of value learning and instructions. Furthermore, the changing paradigm of machine perceiving the human emotions effectively is a technologic
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::044abd26b412f0e8a5dbe276d3903ff0
https://doi.org/10.1016/j.jvcir.2019.03.002
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7
Privacy preservation of data using crow search with adaptive awareness probability
Autor: M. V. P. Chandra Sekhara Rao, Jyothi Mandala
Publikováno v: Journal of Information Security and Applications. 44:157-169
Information security and privacy in the healthcare sector is a concern of increasing significance. The adoption of increased regulation, digital patient records, provider consolidation, and the growing requirement for information among patients, paye
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dcef81f315ab9d3212437d9b0c922dc0
https://doi.org/10.1016/j.jisa.2018.12.005
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9
Particle Swarm Intelligence and Impact Factor-Based Privacy Preserving Association Rule Mining for Balancing Data Utility and Knowledge Privacy
Autor: B. Janakiramaiah, G. Kalyani, M. V. P. Chandra Sekhara Rao
Publikováno v: Arabian Journal for Science and Engineering. 43:4161-4178
Organizations generally prefer data or knowledge sharing with others to obtain mutual benefits. The major issue in sharing the data or knowledge is data owners privacy requirements. Privacy preserving association rule mining is an area in which data
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5da71e75d0747bad4978bd94016d2176
https://doi.org/10.1007/s13369-017-2834-2
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10
Privacy-Preserving Classification Rule Mining for Balancing Data Utility and Knowledge Privacy Using Adapted Binary Firefly Algorithm
Autor: M. V. P. Chandra Sekhara Rao, G. Kalyani, B. Janakiramaiah
Publikováno v: Arabian Journal for Science and Engineering. 43:3903-3925
Privacy-preserving data mining is an embryonic research area that addresses the integration of privacy-preserving concerns to data mining techniques. Classification is a problem in data mining which builds a model to classify the data and then identi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a7fb1ef2a94bf56ac6c0b9ad62c2ff4f
https://doi.org/10.1007/s13369-017-2693-x
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