Publications by authors named "C Kavitha"

A key contemporary challenge is enhancing the value of agro-industrial byproducts. Cellulose, the most abundant renewable resource, offers significant industrial potential due to its versatile properties. Produced in its pure form by various bacteria, cellulose is increasingly utilized in microscale and nanoscale fibers for composite reinforcement.

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Background: This research aims to assess the impact of oxidation heat treatment (OHT) and dual opaquing techniques on enhancing the bond strength between metal and ceramic.

Material And Method: Eighty rectangular patterns with dimensions of 0.5x3x25 mm (according to ISO 9693-2012) were fabricated in a custom-made silicon mold by using auto-polymerized pattern resin material.

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Accurately estimating Battery State of Charge (SOC) is essential for safe and optimal electric vehicle operation. This paper presents a comparative assessment of multiple machine learning regression algorithms including Support Vector Machine, Neural Network, Ensemble Method, and Gaussian Process Regression for modelling the complex relationship between real-time driving data and battery SOC. The models are trained and tested on extensive field data collected from diverse drivers across varying conditions.

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In early years, SERS-active substrates were generally noble metals. However, their practical applications were limited due to their poor biocompatibility, low uniformity and high cost. Recently, the utilization of semiconductor SERS-active substrates has greatly expanded the applications of SERS in many fields.

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Article Synopsis
  • The article describes a simple method to create silver nanoparticles (Ag NPs) embedded in a graphene oxide and cross-linked polyvinyl alcohol (PVA) matrix, which is treated with gamma radiation.
  • It was found that the thermal conductivity ('k') of the samples first decreases with radiation doses up to 5 kGy and then increases at higher doses, indicating that gamma irradiation affects the material's structural properties.
  • The PVA/GO-Ag/GA composite exhibits low thermal conductivity and strong electrical insulation, making it suitable for applications in thermal management, such as thermal insulation for microsensors and wire insulation in nuclear reactors.
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