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Amphetamine-type stimulants (ATS) drug classification using shallow one-dimensional convolutional neural network

Amphetamine-type stimulants (ATS) drug analysis and identifcation are challenging and critical nowadays with the emergence production of new synthetic ATS drugs with sophisticated design compounds. In the present study, we proposed a one-dimensional convolutional neural network (1DCNN) model to perf...

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書誌詳細
主要な著者:	Draman @ Muda, Azah Kamilah, Mohd Yusof, Norfadzlia, Pratama, Satrya Fajri, Carbo‑Dorca, Ramon
フォーマット:	論文
言語:	English
出版事項:	Springer 2021
オンライン･アクセス:	http://eprints.utem.edu.my/id/eprint/26828/2/MOLECULAR_DIVERSITY_2021_PAPER_1.PDF http://eprints.utem.edu.my/id/eprint/26828/ https://link.springer.com/article/10.1007/s11030-021-10289-1 https://doi.org/10.1007/s11030-021-10289-1
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