@inproceedings{0918a1d2748d4e9e885a56142141aecf,
title = "3D geometric moment invariants for ats drugs identification: A more precise approximation",
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.",
keywords = "3D moments function, ATS drugs, Drugs identification, Molecular structure, Moment invariants function, More precise geometric moments",
author = "Pratama, {Satrya Fajri} and Muda, {Azah Kamilah} and Choo, {Yun Huoy} and Ajith Abraham",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 16th International Conference on Hybrid Intelligent Systems, HIS 2016 ; Conference date: 21-11-2016 Through 23-11-2016",
year = "2017",
doi = "10.1007/978-3-319-52941-7_13",
language = "English",
isbn = "9783319529400",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Nature",
pages = "124--133",
editor = "Ghita Mezzour and Alimi, {Adel M.} and Nizar Rokbani and Ajith Abraham and Muda, {Azah Kamilah} and Abdelkrim Haqiq",
booktitle = "Proceedings of the 16th International Conference on Hybrid Intelligent Systems (HIS 2016)",
address = "Netherlands",
}