Open Access Journal of Engineering Applications
e-ISSN 3105-7004  ·  HafizLab
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CMOS Image Sensors using Surrogate Modeling

Haruto Mahmoud Corresponding
Universiti Teknologi Malaysia
Tanvir Haque 0000-0003-7448-3403
Bangladesh University of Engineering and Technology
Lukas Kowalski
University of Moratuwa
31 Mar 2022
pp. 296-307
https://doi.org/10.55555/oajea.2022.4601.015

Abstract

A clear characterization of CMOS image sensors would substantially reduce the risks associated with carbon capture facilities. Full-scale trials were conducted in carbon capture facilities to assess the practicality of the approach. Yield increased by 42% while feedstock consumption remained essentially unchanged. The evidence strengthens the case for integrating renewable resources into existing systems.
Keywords: CMOS image sensorssurrogate modelingconcrete durabilitycatalytic pyrolysisnanocompositesmachine learning

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