Zobrazeno 1 - 10
of 2 816
pro vyhledávání: '"A. Ranjitha"'
Autor:
Noah R. Johnson, Athena C.-J. Wang, Christina Coughlan, Stefan Sillau, Esteban Lucero, Lisa Viltz, Neil Markham, Cody Allen, A. Ranjitha Dhanasekaran, Heidi J. Chial, Huntington Potter
Publikováno v:
Alzheimer’s Research & Therapy, Vol 14, Iss 1, Pp 1-23 (2022)
Abstract Background The apolipoprotein E (APOE) ε4 allele confers the strongest risk for late-onset Alzheimer’s disease (AD) besides age itself, but the mechanisms underlying this risk are debated. One hypothesis supported by evidence from multipl
Externí odkaz:
https://doaj.org/article/208104f13e554508873550b7386d02e9
Class imbalance in training datasets can lead to bias and poor generalization in machine learning models. While pre-processing of training datasets can efficiently address both these issues in centralized learning environments, it is challenging to d
Externí odkaz:
http://arxiv.org/abs/2410.21192
Publikováno v:
Materials Science for Energy Technologies, Vol 2, Iss 3, Pp 385-388 (2019)
Nanocrystalline TiO2 and Sn-doped TiO2 thin films were prepared by sol–gel spin coating method. The crystallinity and anatase phase of TiO2 and Sn-doped TiO2 were confirmed from X-ray diffraction analysis. The EDAX analysis also confirmed the prese
Externí odkaz:
https://doaj.org/article/fc602ceef4744704bb861afbc197c5df
In our previous work, we introduced McKinsey-Tarski algebras (MT-algebras for short) as an alternative pointfree approach to topology. Here we study local compactness in MT-algebras. We establish the Hofmann-Mislove theorem for sober MT-algebras, usi
Externí odkaz:
http://arxiv.org/abs/2401.01015
Wireless embedded edge devices are ubiquitous in our daily lives, enabling them to gather immense data via onboard sensors and mobile applications. This offers an amazing opportunity to train machine learning (ML) models in the realm of wireless devi
Externí odkaz:
http://arxiv.org/abs/2312.08577
Autor:
Hussain, Aadil, Gundapu, Nitheesh, Drugkar, Sarang, Kiran, Suraj, Harshan, J., Prasad, Ranjitha
Reactive injection attacks are a class of security threats in wireless networks wherein adversaries opportunistically inject spoofing packets in the frequency band of a client thereby forcing the base-station to deploy impersonation-detection methods
Externí odkaz:
http://arxiv.org/abs/2311.06564
Autor:
Nanavati, Praharsh, Prasad, Ranjitha
Explainable AI is an evolving area that deals with understanding the decision making of machine learning models so that these models are more transparent, accountable, and understandable for humans. In particular, post-hoc model-agnostic interpretabl
Externí odkaz:
http://arxiv.org/abs/2307.00680
McKinsey and Tarski initiated the study of interior algebras. We propose complete interior algebras as an alternative pointfree approach to topology. We term these algebras McKinsey-Tarski algebras or simply MT-algebras. Associating with each MT-alge
Externí odkaz:
http://arxiv.org/abs/2306.13715
Autor:
Kumar, Ranjitha
Publikováno v:
Arab Journal of Mathematical Sciences, 2023, Vol. 30, Issue 2, pp. 256-261.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/AJMS-08-2022-0186
Autor:
Ranjitha Rai, Akshatha R. Shetty, Medha Shree, Ganesha A., Sushmitha C. H., Ganesha H., Nitesh Kumar, Meghana K. Navada
Publikováno v:
Nanocomposites, Vol 10, Iss 1, Pp 430-444 (2024)
This research focused on synthesizing CuO@NiO nanocomposites using a co-precipitation method to explore their antimicrobial, antioxidant, and melamine-sensing capabilities. Nickel oxide (NiO), known for its stability and optical properties, was doped
Externí odkaz:
https://doaj.org/article/56e8bb8479ed42d9b2eb1daa4f1b436c