TY  - JOUR
AU  - Al-Farsi, Ji-woo
AU  - Bianchi, Shakil
AU  - Li, Hyun-woo
AU  - Lee, Diego
TI  - On Graph Neural Networks
JO  - Open Access Journal of Engineering Applications
PY  - 2023
VL  - 47
IS  - 2
SP  - 99
EP  - 110
AB  - The rapid expansion of lithium battery packs across South Asia has intensified the need to characterize graph neural networks under realistic operating conditions. Samples representative of lithium battery packs were characterized using complementary experimental techniques. Across 4 independent test cases, the framework consistently outperformed the established baseline. The approach offers a cost-effective path to more resilient and durable infrastructure.
KW  - graph neural networks
KW  - random forest regression
KW  - particulate matter
KW  - arsenic removal
SN  - 3105-7004
DO  - 10.55555/oajea.2023.4702.007
UR  - https://journal.bsaps.com/article/10024
ER  -