Evaluation of photoantioxidant activities of SnO2, doped SnO2, and dual-doped SnO2 using artificial neural networks and neuro-fuzzy system

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Original language	Undefined/Unknown
Journal	Materials Today Communications
DOIs	https://doi.org/10.1016/j.mtcomm.2022.103882
Publication status	Published - 2022

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title = "Evaluation of photoantioxidant activities of SnO2, doped SnO2, and dual-doped SnO2 using artificial neural networks and neuro-fuzzy system",

author = "S.N. Matussin and O.A. Malik and M.M. Khan",

year = "2022",

doi = "10.1016/j.mtcomm.2022.103882",

language = "Undefined/Unknown",

journal = "Materials Today Communications",

issn = "2352-4928",

}

TY - JOUR

T1 - Evaluation of photoantioxidant activities of SnO2, doped SnO2, and dual-doped SnO2 using artificial neural networks and neuro-fuzzy system

AU - Matussin, S.N.

AU - Malik, O.A.

AU - Khan, M.M.

PY - 2022

Y1 - 2022

UR - https://www.scopus.com/inward/record.url?eid=2-s2.0-85132870397&partnerID=MN8TOARS

U2 - 10.1016/j.mtcomm.2022.103882

DO - 10.1016/j.mtcomm.2022.103882

M3 - Article

SN - 2352-4928

JO - Materials Today Communications

JF - Materials Today Communications

ER -