TY  - JOUR
AU  - Mahmoud, Haruto
AU  - Haque, Tanvir
AU  - Kowalski, Lukas
TI  - CMOS Image Sensors using Surrogate Modeling
JO  - Open Access Journal of Engineering Applications
PY  - 2022
VL  - 46
IS  - 1
SP  - 296
EP  - 307
AB  - 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.
KW  - CMOS image sensors
KW  - surrogate modeling
KW  - concrete durability
KW  - catalytic pyrolysis
KW  - nanocomposites
KW  - machine learning
SN  - 3105-7004
DO  - 10.55555/oajea.2022.4601.015
UR  - https://journal.bsaps.com/article/9882
ER  -