Supervised Machine Learning-Graph Theory Approach for Analyzing the Electronic Properties of Alkane
The combination of advanced scientific computing and quantum chemistry improves the existing approach in all chemistry and material science fields. Machine learning has revolutionized numerous disciplines within chemistry and material science. In this study, we present a supervised learning model fo...
Published in: | Journal of the Turkish Chemical Society, Section A: Chemistry |
---|---|
Main Author: | Zabidi Z.M.; Zakaria N.A.; Alias A.N. |
Format: | Article |
Language: | English |
Published: |
Turkish Chemical Society
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85180847290&doi=10.18596%2fjotcsa.1166158&partnerID=40&md5=4aea9e03109d6dfad64f1088c0bd398c |
Similar Items
-
Machine learning predictor models in the electronic properties of alkanes based on degree-topology indices
by: Zabidi Z.M.; Alias A.N.; Zakaria N.A.; Mahmud Z.S.; Ali R.; Yaakob M.K.; Masrom S.
Published: (2021) -
Application of graph theory and matrix approach as decision analysis tool for smartphone selection
by: Abu Bakar S.; Harish N.A.; Rahman K.A.; Nasir M.A.S.; Tahir H.M.; Janisip E.
Published: (2019) -
Electronic Properties of Poly(N-vinylcarbazole) Using semi-empirical oligomer extrapolation approximations
by: Alias A.N.; Zabidi Z.M.; Ali A.M.M.
Published: (2024) -
Generalized fuzzy number and graph theory matrix approach in fuzzy decision making of smartphone selection
by: Bakar S.A.; Fauzi N.S.; Rahman K.A.
Published: (2021) -
Optimized Feature Selection and Transformations for Early Stage Prediction of Autism Using Supervised Machine Learning Models
by: Praveena K.N.; Mahalakshmi R.; Manjunath C.; Zubair A.F.; Karthikeyan P.
Published: (2023)