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Akademický článek

Bi-LSTM and partial mutual information selection-based forecasting groundwater salinization levels

Autor: A. Muniappan, T. Jarin, R. Sabitha, Ayman A. Ghfar, I. M. Rizwanul Fattah, Chilala Kakoma Bowa, Mabvuto Mwanza

Publikováno v: Water Reuse, Vol 13, Iss 4, Pp 525-544 (2023)

Fresh-saline groundwater is distributed in a highly heterogeneous way throughout the world. Groundwater salinization is a serious environmental issue that harms ecosystems and public health in coastal regions worldwide. Because of the complexities of

Externí odkaz: https://doaj.org/article/e830c2f4129f484f91ca170bd99cc23c

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Akademický článek

Machine learning Technique for improving the stability of Thermal Energy storage

Autor: Radha Raman Chandan, Aditya C.R, Chandra Shekara G., R. Elankeerthana, K. Anitha, R. Sabitha, Ravishankar Sathyamurthy, V. Mohanavel, M. Sudhakar

Publikováno v: Energy Reports, Vol 8, Iss , Pp 897-907 (2022)

In deep learning, it is possible that training efficiency will suffer as a result of redundant data. A lower amount of training data, on the other hand, may result in a model that is unable to capture the necessary features hidden within the dataset.

Externí odkaz: https://doaj.org/article/ae87ba87e6c548e6835c12cafdc2b334

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Akademický článek

A SERVICE PACKAGE IDENTIFIER BASED SECURITY VERIFICATION ALGORITHM FOR WIRELESS MOBILE AD-HOC NETWORK

Autor: R Sabitha, G Kiruthiga

Publikováno v: ICTACT Journal on Communication Technology, Vol 13, Iss 1, Pp 2650-2655 (2022)

In general, the biggest problem with a mobile ad-hoc network is the threat to its security. This is because the mobile ad-hoc network is dismantled after a certain period of time, which spends a lot of time calculating its stability and greatly waste

Externí odkaz: https://doaj.org/article/9027d82d47ef487c842182e07d1edaf5

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Akademický článek

PLANT DISEASE RECOGNITION AND CLUSTERING USING FUZZY ALGORITHM ON DATA MINING

Autor: R Sabitha, G Kiruthiga

Publikováno v: ICTACT Journal on Soft Computing, Vol 11, Iss 4, Pp 2429-2432 (2021)

Deep learning models are capable of performing sophisticated calculations, but they''''re not suitable for mobile and handheld devices due to their vast size and demanding computational requirements. Using an automated process, we intend to identify

Externí odkaz: https://doaj.org/article/a23e1f72ecfe45daa4235921226ceff2

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Oropharyngeal Exercises on Snoring, Daytime Sleepiness and Anthropometric Measurement Among Adults with Obstructive Sleep Apnea

Autor: S. KalaBarathi, P. Thenmozhi, R. Sabitha

Publikováno v: CARDIOMETRY. :747-753

Introduction: Obstructive sleep apnea (OSA) is the most common sleep-related breathing disorder. Untreated OSA is associated with potential long-term adverse health consequences. Oropharyngeal exercise is one of the treatment modalities to manage the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1c576fdf7d46cf4d501a9558eac15bff
https://doi.org/10.18137/cardiometry.2023.26.747753

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Akademický článek

A Novel Study of Synthesis and Experimental Investigation on Hybrid Biocomposites for Biomedical Orthopedic Application

Autor: C. V. Subba Rao, R. Sabitha, P. Murugan, S. Rama Rao, K. Anitha, Y. Sesha Rao

Publikováno v: International Journal of Polymer Science, Vol 2021 (2021)

In recent years the biocomposites are highly utilized in the biomedical applications, due to excellent strength as well as weight ratio. A lot of natural fibers, namely, flax, hemp, jute, kenaf, and sisal are cheaply available in colossal amount. Aim

Externí odkaz: https://doaj.org/article/3a4baaadf3724c43952966b3a868c5ba

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