Accurate Agarwood Oil Quality Determination: A Breakthrough With Artificial Neural Networks and the Levenberg- Marquardt Algorithm-Reference-Cited by-同舟云学术

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Accurate Agarwood Oil Quality Determination: A Breakthrough With Artificial Neural Networks and the Levenberg- Marquardt Algorithm

Published:2024 Issue: Volume:12 Page:50389-50403
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Huzir Siti Mariatul Hazwa Mohd¹^ORCID,Al-Hadi Anis Hazirah ’Izzati Hasnu²^ORCID,Yusoff Zakiah Mohd¹^ORCID,Ismail Nurlaila²,Taib Mohd Nasir²^ORCID

Affiliation:

1. Electrical Engineering Studies, College of Engineering, Universiti Teknologi MARA, Johor Branch, Pasir Gudang Campus, Masai, Johor, Malaysia

2. School of Electrical Engineering, College of Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia

Funder

Ministry of Higher Education under Fundamental Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10478891.pdf?arnumber=10478891

Reference57 articles.

1. Fungi mediated agarwood (A. malaccensis) production and their pharmaceutical applications: A systematic review

2. Agarwood (Aquilaria malaccensis L.) a quality fragrant and medicinally significant plant based essential oil with pharmacological potentials and genotoxicity

3. Expensive, exploited and endangered;Thompson

4. Feasibility of Agarwood Cultivation in Indonesia: Dynamic System Modeling Approach

5. Rapid discrimination of aroma components in natural and artificial agarwood incense by static headspace sampling—Gas chromatography—Mass spectrometry (SHS-GC-MS) with principal component analysis (PCA) and partial least squares—Discrimination analysis (PLS-DA);Sun;Anal. Lett.,2022

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Agarwood Classification using the Electronic Nose Method;2024 International Seminar on Intelligent Technology and Its Applications (ISITIA);2024-07-10

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