Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Karuna G."'
Autor:
Bhavna M. Ahuja, Karuna G. Pawashe, Pronob Kumar Sanyal, Mohammed A. Al-Qarni, Nasser M. Alqahtani, Saeed M. Alqahtani, Abdul Razzaq Ahmed, Mohasin Abdul Khader, Asim Elsir Elmahdi, Saurabh Chaturvedi
Publikováno v:
BMC Oral Health, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Vinyl polyether silicone (VPES) is a novel impression biomaterial made of a combination of vinyl polysiloxane (VPS) and polyether (PE). Thus, it is significant to assess its properties and behaviour under varied disinfectant test
Externí odkaz:
https://doaj.org/article/687009ea6be241d2b602ff9b79f58891
Autor:
Karuna G. Reddy, M.G.M. Khan
Publikováno v:
Heliyon, Vol 9, Iss 11, Pp e21407- (2023)
For maximum precision in population parameter estimation under the Stratified sampling design, the optimum strata boundaries (OSB) could be constructed based on a continuous study variable rather than a set of categorical variables. If constructed op
Externí odkaz:
https://doaj.org/article/d0a17d3a271e4f5da9755b4d0fc20e7d
Autor:
Kansal Lavish, Alzubaidi Laith H., A B Gurulakshmi, Karuna G., Pahwa Shilpa, Das Karabi Kalita
Publikováno v:
E3S Web of Conferences, Vol 507, p 01064 (2024)
The escalating use of plastic products alongside rising ambient temperatures has intensified concerns regarding their performance under diverse thermal conditions. This paper delves into the intricate relationship between plastic materials, ambient t
Externí odkaz:
https://doaj.org/article/16f5b8ed9a8e47f786ae0e9110f0d6bf
Autor:
Karuna G., Ram Kumar R.P., Sanjeeva Polepaka, Deepthi Palakurthy, Saeed Hazim Y., V Asha, Kansal Lavish, Praveen
Publikováno v:
E3S Web of Conferences, Vol 507, p 01063 (2024)
The Internet of Things (IoT) has enabled automation in every other field and is one of the emerging technologies. It facilitates communication between devices and the cloud and between the devices themselves. In the current world, many modern techniq
Externí odkaz:
https://doaj.org/article/1a1c5218acfd44fa9643ef25e1d1b179
Publikováno v:
E3S Web of Conferences, Vol 507, p 01050 (2024)
This study explores the advancement of aluminum-based composites through the integration of fly ash and silicon carbide (SiC) reinforcement via stir casting. The process involves melting the alloy in a crucible within a muffle furnace at 700°C, grad
Externí odkaz:
https://doaj.org/article/b9217127afda47f6967bc9f12b680544
Autor:
Mittal Aman, Karuna G.
Publikováno v:
MATEC Web of Conferences, Vol 392, p 01187 (2024)
The study explores the enhancement of wind-solar hybrid microgrids via the use of Swarm Intelligence Algorithms (SIAs). It assesses the efficacy of these algorithms in efficiently managing renewable energy sources, load demands, and battery storage i
Externí odkaz:
https://doaj.org/article/764b332c4c42469b9d0eb930ee65894c
Publikováno v:
MATEC Web of Conferences, Vol 392, p 01192 (2024)
This study focuses on investigating and using machine learning (ML) methods to identify faults in renewable microgrids. It highlights the difficulties and intricacies associated with these dynamic energy systems. The examination of real-world data ob
Externí odkaz:
https://doaj.org/article/ae7335b71ea74d00bd20e1f63ca0727e
Publikováno v:
IEEE Access, Vol 10, Pp 117925-117943 (2022)
The cluster analysis of real-life data often encounters the challenges of noisy data or may rely heavily on the uncertainty of the main clustering variable owing to its stochastic nature, which has a potential influence on its performance. In this pa
Externí odkaz:
https://doaj.org/article/e7d8fc4245dd40ada7573683e46743f0
Publikováno v:
E3S Web of Conferences, Vol 430, p 01030 (2023)
Safety and security are major concerns in the modern day. People and organizations can employ security mechanisms to safeguard their property for their homes or commercial enterprises. Present security systems involve the utilization of Assorted Sens
Externí odkaz:
https://doaj.org/article/bbae434f1c6643d4a930526da3e6e481
Autor:
Karuna G., Akshith M., Sai Dinesh Parige, Vishnu Vardhan Bodhan, Singh Bisht Yashwant, Narsaiah M.N.
Publikováno v:
E3S Web of Conferences, Vol 430, p 01021 (2023)
A class of neural networks known as Recurrent Neural Networks (RNNs) are capable of processing sequential input, including time series and plain language. In the shortest possible time to find relevant and useful information, it is for sure very help
Externí odkaz:
https://doaj.org/article/cf06062cec5841ef99c14dfb44a690b5