Výsledky vyhledávání - "A. Ramesh Babu"

Akademický článek

EEG stress classification based on Doppler spectral features for ensemble 1D-CNN with LCL activation function

Autor: J. Naren, A. Ramesh Babu

Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 4, Pp 102013- (2024)

The paper proposes an induced stress classification algorithm that uses features from the Doppler spectrum. In this approach, a reference signal source is used to obtain the quadrature and in-phase components of the EEG signal. The higher frequency c

Externí odkaz: https://doaj.org/article/60fbd8b3d45e4c0bbd563aa1b6ea65e4

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Akademický článek

Zinc oxide nanoparticles as an efficient antioxidant, photocatalyst, and heterogeneous catalyst in C–P bond synthesis

Autor: Hari Babu Boppudi, Y. Subba Rao, Charan Kuchi, A. Ramesh Babu, Varadhi Govinda, M. Jagadeesh, Mahimaluru Lavanya

Publikováno v: Results in Chemistry, Vol 6, Iss , Pp 101227- (2023)

Zinc oxide nanoparticles (ZnO-NPs) were synthesized using the chemical precipitation technique and characterized through various analytical methods. Powder X-ray diffraction (P-XRD) results confirmed the hexagonal wurtzite phase of the NPs. Fourier-T

Externí odkaz: https://doaj.org/article/d7283c8882104b5a9ca10f1c1ca96216

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Akademický článek

Efficient and Secure Identity-based Strong Key-Insulated Signature Scheme without Pairings

Autor: P. Vasudeva Reddy, A. Ramesh Babu, N.B. Gayathri

Publikováno v: Journal of King Saud University: Computer and Information Sciences, Vol 33, Iss 10, Pp 1211-1218 (2021)

Public Key Cryptosystem (PKC) completely relies under the assumption that user’s private key is absolutely secure. Exposure of private key may lead to disastrous situations in the communication network. To diminish the damage of private key exposur

Externí odkaz: https://doaj.org/article/bb515a61d7634e69a025a868043d1283

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Anomaly Detection for Incident Response at Scale

Autor: Wang, Hanzhang, Tangirala, Gowtham Kumar, Naidu, Gilkara Pranav, Mayville, Charles, Roy, Arighna, Sun, Joanne, Mandava, Ramesh Babu

We present a machine learning-based anomaly detection product, AI Detect and Respond (AIDR), that monitors Walmart's business and system health in real-time. During the validation over 3 months, the product served predictions from over 3000 models to

Externí odkaz: http://arxiv.org/abs/2404.16887

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Geometric phases in neutrino mixing

Autor: M., Manosh T., Shaji, N., Thayyullathil, Ramesh Babu, Mathew, Titus K

Neutrinos can acquire both dynamic and geometric phases due to the non-trivial mixing between mass and flavour eigenstates. In this article, we derive the general expressions for all plausible gauge invariant diagonal and off-diagonal geometric phase

Externí odkaz: http://arxiv.org/abs/2212.08245

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