Výsledky vyhledávání - "A. Lakshmi Pathi"

Akademický článek

Progress and perspectives on microbial electrosynthesis for valorisation of CO2 into value-added products

Autor: Thulluru, Lakshmi Pathi, Ghangrekar, Makarand M., Chowdhury, Shamik

Publikováno v: In Journal of Environmental Management 15 April 2023 332

Akademický článek

Dynamic Behavior Modeling of Natural-Rubber/Polybutadiene-Rubber-Based Hybrid Magnetorheological Elastomer Sandwich Composite Structures.

Autor: N, Ahobal^1,2 (AUTHOR) ahobal-me@dayanandasagar.edu, Jakkamputi, Lakshmi Pathi³ (AUTHOR) lakshmipathi@vit.ac.in, Gnanasekaran, Sakthivel² (AUTHOR), Thangamuthu, Mohanraj⁴ (AUTHOR) t_mohanraj@cb.amrita.edu, Rakkiyannan, Jegadeeshwaran³ (AUTHOR) lakshmipathi@vit.ac.in, Bhalerao, Yogesh Jayant⁵ (AUTHOR) y.bhalerao@uea.ac.uk

Publikováno v: Polymers (20734360). Dec2023, Vol. 15 Issue 23, p4583. 20p.

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Akademický článek

A Comprehensive Approach for Detecting Brake Pad Defects Using Histogram and Wavelet Features with Nested Dichotomy Family Classifiers.

Autor: Gnanasekaran, Sakthivel^1,2 (AUTHOR) lakshmipati@vit.ac.in, Jakkamputi, Lakshmi Pathi² (AUTHOR), Rakkiyannan, Jegadeeshwaran² (AUTHOR) jegadeeshwaran.r@vit.ac.in, Thangamuthu, Mohanraj³ (AUTHOR) jegadeeshwaran.r@vit.ac.in, Bhalerao, Yogesh⁴ (AUTHOR) y.bhalerao@uea.ac.uk

Publikováno v: Sensors (14248220). Nov2023, Vol. 23 Issue 22, p9093. 20p.

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Akademický článek

A Comprehensive Approach for Detecting Brake Pad Defects Using Histogram and Wavelet Features with Nested Dichotomy Family Classifiers

Autor: Sakthivel Gnanasekaran, Lakshmi Pathi Jakkamputi, Jegadeeshwaran Rakkiyannan, Mohanraj Thangamuthu, Yogesh Bhalerao

Publikováno v: Sensors, Vol 23, Iss 22, p 9093 (2023)

The brake system requires careful attention for continuous monitoring as a vital module. This study specifically focuses on monitoring the hydraulic brake system using vibration signals through experimentation. Vibration signals from the brake pad as

Externí odkaz: https://doaj.org/article/f3916fbf4d9541e4af9905d06ebfe212

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Akademický článek

Assessment of Vehicle Handling Performance of Drivers Using Machine Learning Algorithms

Autor: D. Saravanakumar, G. Sakthivel, R. Jegadeeshwaran, J. Lakshmi Pathi, M. Muthu Kumar, T. Muthuramalingam

Publikováno v: IEEE Access, Vol 10, Pp 132288-132297 (2022)

Reliable assessment of an individual’s driving skills is very important. The growing population of unskilled drivers will result in disastrous and fatal road accidents. Current situation demands better and accurate automated assessment technique fo

Externí odkaz: https://doaj.org/article/49dcacef75734bc09f70a1e2a07d25d1

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