Zobrazeno 1 - 8
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pro vyhledávání: '"K. Vivekananda Bhat"'
Autor:
Sharanya Prabhu, Shourya Gupta, Gautham Manuru Prabhu, Aarushi Vishal Dhanuka, K. Vivekananda Bhat
Publikováno v:
IEEE Access, Vol 11, Pp 136122-136135 (2023)
This research is the first of its kind to leverage the power of Quantum Machine Learning (QML) to perform multi-class classification of Cardiovascular Diseases (CVDs). We propose a novel approach that enables multi-class classification with Pegasos Q
Externí odkaz:
https://doaj.org/article/ce9d14a95e064879870a37407aae4df5
Publikováno v:
IEEE Access, Vol 7, Pp 157480-157488 (2019)
Recently, research in audio watermarking technology makes it a promising tool for copyright protection of digital audio files in networked environments. In this paper, we propose a new mean quantization based watermarking mechanism for audio based on
Externí odkaz:
https://doaj.org/article/8b42ffc01edb46c39848467d3d26ac07
Autor:
M., Indushree, Raj, Manish, Mishra, Vipul Kumar, R., Shashidhara, Das, Ashok Kumar, K., Vivekananda Bhat
Publikováno v:
In Computer Communications 15 February 2023 200:1-16
Autor:
N. Sivaselvan, K. Vivekananda Bhat, Muttukrishnan Rajarajan, Ashok Kumar Das, Joel J. P. C. Rodrigues
Publikováno v:
Cluster Computing.
With the widespread use of Internet of Things (IoT) in various applications and several security vulnerabilities reported in them, the security requirements have become an integral part of an IoT system. Authentication and access control are the two
Autor:
Krishnaraj Chadaga, Srikanth Prabhu, K Vivekananda Bhat, Shashikiran Umakanth, Niranjana Sampathila
Publikováno v:
Journal of Physics: Conference Series. 2161:012017
Severe Acute Respiratory Syndrome Coronavirus 2(SARS-CoV-2), colloquially known as Coronavirus surfaced in late 2019 and is an extremely dangerous disease. RT-PCR (Reverse transcription Polymerase Chain Reaction) tests are extensively used in COVID-1
Publikováno v:
Information Systems Security ISBN: 9783540898610
ICISS
ICISS
A robust and oblivious audio watermarking based on quantization of wavelet coefficients is proposed in this paper. Watermark data is embedded by quantizing large wavelet coefficient in absolute value of high frequency detail sub-band at the third lev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed196030547462a212a320db595a9a76
https://doi.org/10.1007/978-3-540-89862-7_20
https://doi.org/10.1007/978-3-540-89862-7_20
Conference
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Conference
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