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

QR Code

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

The agarwood oil quality has been divided into four grades, including low, medium-low, medium-high, and high, and has been thoroughly examined in this manuscript. Recently, there has been a high demand for agarwood oil but the current grading method is based on conventional techniques that rely on v...

Full description

Bibliographic Details
Published in:	IEEE ACCESS
Main Authors:	Huzir, Siti Mariatul Hazwa Mohd; Al-Hadi, Anis Hazirah 'Izzati Hasnu; Yusoff, Zakiah Mohd; Ismail, Nurlaila; Taib, Mohd Nasir
Format:	Article
Language:	English
Published:	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 2024
Subjects:	Computer Science; Engineering; Telecommunications
Online Access:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001204926900001

Similar Items

Accurate Agarwood Oil Quality Determination: A Breakthrough With Artificial Neural Networks and the Levenberg- Marquardt Algorithm
by: Huzir S.M.H.M.; Al-Hadi A.H.I.H.; Yusoff Z.M.; Ismail N.; Taib M.N.
Published: (2024)

The Grading of Agarwood Oil Quality Based on Multiclass Support Vector Machine (MSVM) Model
by: Mohd Amidon A.F.; Zawani Mahabob N.; Hazwa Mohd Huzir S.M.; Mohd Yusoff Z.; Ismail N.; Taib M.N.
Published: (2022)

Dataset for five recent years (2019 - 2023) agarwood essential oil research trends: A bibliometric analysis
by: Yusoff, et al.
Published: (2024)

The significance of artificial intelligent technique in classifying various grades of agarwood oil
by: Mohd Amidon A.F.; Huzir S.M.H.M.; Yusoff Z.M.; Ismail N.; Taib M.N.
Published: (2023)

A Study on ANN Performance Towards Three Significant Compounds of High Quality Agarwood Oil
by: Mahabob N.Z.; Fawwaz Mohd Amidon A.; Ismail N.; Hazwa Mohd Huzir S.M.; Mohd Yusoff Z.; Taib M.N.; Nizam Tajuddin S.; Ali N.M.
Published: (2022)

Agarwood oil quality identification using artificial neural network modelling for five grades
by: Huzir S.M.H.M.; Tajuddin S.N.; Yusoff Z.M.; Ismail N.; Almisreb A.A.; Taib M.N.
Published: (2024)

Application of Artificial Neural Network for Accurate Prediction of Photocatalytic Dye Degradation
by: Azmil A.S.; Majnis M.F.; Adnan M.A.M.; Ismail S.
Published: (2024)

A novel application of artificial neural network for classifying agarwood essential oil quality
by: Mahabob N.Z.; Yusoff Z.M.; Amidon A.F.M.; Ismail N.; Taib M.N.
Published: (2022)

Datasets of chemical compounds in three different species of aquilaria using GC-MS coupled with GC-FID analysis
by: Yusoff, et al.
Published: (2024)

Boxplot analysis of 4 grade agarwood essential oil for various grades
by: Al-Hadi A.H.I.H.; Amidon A.F.M.; Huzir S.M.H.M.; Ismail N.; Yusoff Z.M.; Tajuddin S.N.; Taib M.N.
Published: (2023)

Pattern analysis on Aquilaria Malaccensis using machine learning
by: Hasnu Al-Hadi A.H.‘.; Mohd Huzir S.M.H.; Zaidi A.H.; Ismail N.; Mohd Yusoff Z.; Haron M.H.; Taib M.N.
Published: (2024)

Stepwise regression of agarwood oil significant chemical compounds into four quality differentiation
by: Huzir S.M.H.M.; Amidon A.F.M.; Al-Hadi A.H.I.H.; Ismail N.; Yusoff Z.M.; Tajuddin S.N.; Taib M.N.
Published: (2023)

The Capabilities of Multiclass Support Vector Machine (MSVM) Training Algorithms in Grading Agarwood Essential Oil
by: Al-Hadi A.H.I.H.; Huzir S.M.H.M.; Ismail N.; Yusoff Z.M.; Tajuddin S.N.; Taib M.N.
Published: (2024)

Preliminary study on agarwood essential oil and its classification techniques using machine learning
by: Al-Hadi A.H.I.H.; Amidon A.F.M.; Huzir S.M.H.M.; Ismail N.; Yusoff Z.M.; Tajuddin S.N.; Taib M.N.
Published: (2023)

Statistical Analysis of High Grade Samples from four grades Aquilaria Malaccensis Oil
by: Al-Hadi A.H.'.H.; Fawwaz Mohd Amidon A.; Ismail N.; Hazwa Mohd Huzir S.M.; Mohd Yusoff Z.; Tajuddin S.N.; Nasir Taib M.
Published: (2022)

A preliminary study on the intelligent model of k-nearest neighbor for agarwood oil quality grading
by: Huzir S.M.H.M.; Mahabob N.Z.; Amidon A.F.M.; Ismail N.; Yusoff Z.M.; Taib M.N.
Published: (2022)

Agarwood Oil Grade Clustering of Aquilaria malaccensis Species using Extraction by GC-MS Analysis: Efficient KNN Algorithm Based on Patterns Visualization of Two-dimensional Graph
by: Huzir S.M.H.; Al-Hadi A.H.I.H.; Zaidi A.H.; Ismail N.; Yusoff Z.M.; Tajuddin S.N.; Taib M.N.
Published: (2024)

Chemical properties and breakthrough adsorption study of activated carbon derived from carbon precursor from carbide industry
by: Husain N.C.; Zawawi N.A.; Hamzah F.; Rodhi M.N.M.; Veny H.; Ariyanti D.; Mohidem N.A.
Published: (2023)

Statistical analysis of agarwood oil compounds based on GC-MS data
by: Haron M.H.; Taib M.N.; Ismail N.; Mohd Ali N.A.; Tajuddin S.N.
Published: (2018)

Statistical analysis of agarwood oil chemical compound exists in four species of Aquilaria
by: Zaidi A.H.; Al-Hadi A.H.‘.H.; Hassan S.M.H.M.H.; Yusoff Z.M.; Ismail N.; Almisreb A.A.; Tajuddin S.N.; Taib M.N.
Published: (2024)

Identification of odor components of agarwood
by: Mohamad Ali N.A.; Ismail N.; Jamil M.; Aziz A.; Lias S.; Fazalul Rahiman M.H.; Tai M.N.
Published: (2015)

Agarwood oil quality classification using cascade-forward neural network
by: Aziz M.A.A.; Ismail N.; Yassin I.M.; Zabidi A.; Ali M.S.A.M.
Published: (2016)

Analysis of distance metric variations in KNN for agarwood oil compounds differentiation
by: Samad M.E.M.; Ismail N.; Rahiman M.H.F.; Taib M.N.; Ali N.A.M.; Tajuddin S.N.
Published: (2017)

DenseHillNet: a lightweight CNN for accurate classification of natural images
by: Saqib S.M.; Asghar M.Z.; Iqbal M.; Al-Rasheed A.; Khan M.A.; Ghadi Y.; Mazhar T.
Published: (2024)

DenseHillNet: a lightweight CNN for accurate classification of natural images
by: Saqib, et al.
Published: (2024)

Development of web application for agarwood oil quality discriminator in virtualization platform
by: Abas M.A.H.; Zubir N.S.A.; Ismail N.; Ali N.A.M.; Rahiman M.H.F.; Yassin A.I.M.; Tajuddin S.N.; Taib M.N.
Published: (2017)

Improving the Quality of Agarwood Oil by Using the Intelligent of Multilayer Perceptron (MLP) Network Training Algorithms
by: Mahabob N.Z.; Yusoff Z.M.; Ismail N.; Taib M.N.
Published: (2023)

k-nearest neighbor modelling of agarwood oil samples available in capital of Malaysia market
by: Abd Latib E.H.; Ismail N.; Tajuddin S.N.; Jamil J.; Mohd Yusoff Z.
Published: (2022)

Analysis of aroma profile of agarwood incense smoke by SPME and GC-FID combined with GC-MS
by: Ismail N.; Ibrahim M.; Zareen S.; Tajuddin S.N.; Rahiman M.H.F.; Taib M.N.
Published: (2016)

Artificial neural network and convolutional neural network for prediction of dental caries
by: Basri, et al.
Published: (2024)

The k-nearest neighbor modelling by varying Mahalanobis and correlation in distance metric for agarwood oil quality classification
by: Jainalabidin N.S.M.; Amidon A.F.M.; Ismail N.; Yusoff Z.M.; Tajuddin S.N.; Taib M.N.
Published: (2022)

The effect of enzymatic pre-treatment in agarwood oil extraction
by: Rahim A.F.A.; Kadri A.; Harun N.M.
Published: (2019)

Machine learning analysis of wing venation patterns accurately identifies Sarcophagidae, Calliphoridae and Muscidae fly species
by: Ling M.H.; Ivorra T.; Heo C.C.; Wardhana A.H.; Hall M.J.R.; Tan S.H.; Mohamed Z.; Khang T.F.
Published: (2023)

Selected Malaysia stock predictions using artificial neural network
by: Bahrun P.N.; Taib M.N.
Published: (2009)

Artificial neural network and convolutional neural network for prediction of dental caries
by: Basri K.N.; Yazid F.; Mohd Zain M.N.; Md Yusof Z.; Abdul Rani R.; Zoolfakar A.S.
Published: (2024)

Telepharmacy module in clinical pharmacy clerkship Drug-related problem assessment and student reflections
by: Karuppannan, et al.
Published: (2024)

Application of Long-Short Term Memory for Accurate Biochemical Oxygen Demand Prediction in Rivers through Water Quality Parameters
by: Thamrin N.M.; Jaffar A.; Ali M.S.A.M.; Misnan M.F.; Yassin A.I.M.; Zan N.M.; Ibrahim N.N.L.N.
Published: (2023)

Standardized Laboratory Procedures, Quality Control and Quality Assurance Are Key Requirements for Accurate Semen Analysis in the Evaluation of Infertile Male
by: Agarwal A.; Sharma R.; Gupta S.; Finelli R.; Parekh N.; Selvam M.K.P.; Pompeu C.P.; Madani S.; Belo A.; Darbandi M.; Singh N.; Darbandi S.; Covarrubias S.; Sadeghi R.; Arafa M.; Majzoub A.; Caraballo M.; Giroski A.; McNulty K.; Durairajanayagam D.; Henkel R.
Published: (2022)

Differentiation of Agarwood oil quality using Support Vector Machine (SVM)
by: Jantan H.; Yassin I.M.; Zabidi A.; Ismail N.; Ali M.S.A.M.
Published: (2017)

Predicting drug contents of hydroxypropylmethylcellulose films using artificial neural network
by: Alias A.; Taib M.N.; Wui W.T.; Anuar N.K.; Tahir N.Md.
Published: (2009)