Prediction of CO<sub>2</sub> uptake in bio-waste based porous carbons using model agnostic explainable artificial intelligence

Prediction of CO<sub>2</sub> uptake in bio-waste based porous carbons using model agnostic explainable artificial intelligence

<p dir="ltr">This study introduces comprehensive research on the prediction of the carbon dioxide (CO<sub>2</sub>) uptake from the biomass-waste derived-porous carbons (BWDPCs), by using scientometrics and model agnostic multi-layered explainable artificial intelligence (...

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Bibliographic Details
Main Author: Mohd Azfar Shaida (19756971) (author)
Other Authors: Saad Shamim Ansari (19756974) (author), Raeesh Muhammad (4867672) (author), Syed Muhammad Ibrahim (19756977) (author), Izharul Haq Farooqi (19756980) (author), Abdulkarem Amhamed (14778130) (author)
Published: 2025
Subjects:
Information and computing sciences
Artificial intelligence
Machine learning
CO2 uptake
Biomass waste
Scientometrics
Explainable artificial intelligence
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