Zobrazeno 1 - 10
of 5 297
pro vyhledávání: '"P. Kalyani"'
Publikováno v:
Hybrid Advances, Vol 2, Iss , Pp 100016- (2023)
The interest of this work is to study the optimized conditions for antibacterial secondary metabolites from the fungus Aspergillus fumigatus strain MF1 extract. The secondary metabolites such as alkaloids, phenols, terpenoids, toxins and ketones are
Externí odkaz:
https://doaj.org/article/97a7ba17c1a34350b0baa0b6c86d6cc1
Designing a cognitive radar system capable of adapting its parameters is challenging, particularly when tasked with tracking a ballistic missile throughout its entire flight. In this work, we focus on proposing adaptive algorithms that select wavefor
Externí odkaz:
http://arxiv.org/abs/2410.10591
This work addresses the persistent challenges of substantial training time and GPU resource requirements even when training lightweight encoder-vocoder models for Textless NLP. We reduce training steps significantly while improving performance by a)
Externí odkaz:
http://arxiv.org/abs/2409.19015
We propose a minimal power white box adversarial attack for Deep Learning based Automatic Modulation Classification (AMC). The proposed attack uses the Golden Ratio Search (GRS) method to find powerful attacks with minimal power. We evaluate the effi
Externí odkaz:
http://arxiv.org/abs/2409.11454
Autor:
Devapriya, Dahlia, Kalyani, Sheetal
In reconfigurable intelligent surface (RIS) aided systems, the joint optimization of the precoder matrix at the base station and the phase shifts of the RIS elements involves significant complexity. In this paper, we propose a complex-valued, geometr
Externí odkaz:
http://arxiv.org/abs/2409.11270
Learning rate is a crucial parameter in training of neural networks. A properly tuned learning rate leads to faster training and higher test accuracy. In this paper, we propose a Lipschitz bandit-driven approach for tuning the learning rate of neural
Externí odkaz:
http://arxiv.org/abs/2409.09783
The performance of the standard Online Robust Principal Component Analysis (OR-PCA) technique depends on the optimum tuning of the explicit regularizers and this tuning is dataset sensitive. We aim to remove the dependency on these tuning parameters
Externí odkaz:
http://arxiv.org/abs/2409.07275
Source enumeration, the task of estimating the number of sources from the signal received by the array of antennas, is a critical problem in array signal processing. Numerous methods have been proposed to estimate the number of sources under white or
Externí odkaz:
http://arxiv.org/abs/2409.06563
Autor:
N. Anvarsha, P. Kalyani
Publikováno v:
Future Journal of Pharmaceutical Sciences, Vol 7, Iss 1, Pp 1-12 (2021)
Abstract Background Imprudent use of antimicrobial drugs has resulted in the microbial resistance among the known microbes and hence we foresee a pressing need towards the development of novel, low-cost, and high potent antimicrobials which should be
Externí odkaz:
https://doaj.org/article/5aa81945e32441f387753d6e409e09ff
A nontrivial connected graph is matching covered if each edge belongs to some perfect matching. There is extensive theory on these graphs; see Lucchesi and Murty [Perfect Matchings, Springer 2024]. Two edges are mutually dependent if every perfect ma
Externí odkaz:
http://arxiv.org/abs/2409.00534