Abstract
National development is constantly threatened by drug abuse. The chemical composition of the drugs heavily determines the results of identification process, which becomes more unreliable due to the introduction of new, sophisticated, and increasingly complex ATS analogues. The identification of the unique characteristics of molecular structure in ATS drug is very crucial. Therefore, this paper is meant for formulating a more precise 3D geometric moment invariants to represent the molecular structure. The performance of the proposed technique was analyzed using drug molecular structures obtained from United Nations Office of Drugs and Crime and also from various sources. The evaluation shows the technique is qualified to be further explored and adapted to be fully compatible with ATS drug identification domain.
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Acknowledgements
This work was supported by UTeM Postgraduate Fellowship Scheme and PJP High Impact Research Grant (S01473-PJP/2016/FTMK/HI3) from Universiti Teknikal Malaysia Melaka (UTeM), Malaysia.
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Pratama, S.F., Muda, A.K., Choo, YH., Abraham, A. (2017). 3D Geometric Moment Invariants for ATS Drugs Identification: A More Precise Approximation. In: Abraham, A., Haqiq, A., Alimi, A., Mezzour, G., Rokbani, N., Muda, A. (eds) Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016). HIS 2016. Advances in Intelligent Systems and Computing, vol 552. Springer, Cham. https://doi.org/10.1007/978-3-319-52941-7_13
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