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Kim Seng Chia
Kim Seng Chia
Faculty of Electrical and Electronic Engineering, Universiti Tun Hussein Onn Malaysia
Verified email at uthm.edu.my - Homepage
Title
Cited by
Cited by
Year
Prediction of soluble solids content of pineapple via non-invasive low cost visible and shortwave near infrared spectroscopy and artificial neural network
KS Chia, HA Rahim, RA Rahim
Biosystems Engineering 113 (2), 158-165, 2012
812012
Neural network and principal component regression in non-destructive soluble solids content assessment: a comparison
KS Chia, HA Rahim, RA Rahim
Journal of Zhejiang University SCIENCE B 13 (2), 145-151, 2012
462012
Evaluation of common pre-processing approaches for visible (VIS) and shortwave near infrared (SWNIR) spectroscopy in soluble solids content (SSC) assessment
KS Chia, HA Rahim, RA Rahim
Biosystems engineering 115 (1), 82-88, 2013
372013
A Review on Recent Near Infrared Spectroscopic Measurement Setups and Their Challenges
FW Hong, KS Chia
Measurement 171 (2), 108732, 2021
232021
A comparison between single layer and multilayer artificial neural networks in predicting diesel fuel properties using near infrared spectrum
HAG Al-kaf, KS Chia, NAM Alduais
Petroleum Science and Technology 36 (6), 411-418, 2018
232018
Ziegler-Nichols Based Proportional-Integral-Derivative Controller for a Line Tracking Robot
KS Chia
Indonesian Journal Of Electrical Engineering And Computer Science 9 (1), 221-226, 2018
232018
Investigating the relationship between the reflected near infrared light and the internal quality of pineapples using neural network
MNH Jam, KS Chia
Int. J. Adv. Sci. Eng. Inf. Technol 7 (4), 2017
132017
A Portable PID Control Learning Tool by Means of a Mobile Robot.
KS Chia, XY Yap
International Journal of Online Engineering 12 (6), 2016
112016
A five band near-infrared portable sensor in nondestructively predicting the internal quality of pineapples
MNH Jam, KS Chia
2017 IEEE 13th International Colloquium on Signal Processing & its …, 2017
102017
A comparison of Principal Component Regression and Artificial Neural Network in fruits quality prediction
KS Chia, HA Rahim, RA Rahim
2011 IEEE 7th International Colloquium on Signal Processing and its …, 2011
92011
Pre-dispersive near-infrared light sensing in non-destructively classifying the brix of intact pineapples
KS Chia, MNH Jam, Z Gan, N Ismail
Journal of Food Science and Technology 57, 4533-4540, 2020
82020
A bootstrapping soft shrinkage approach and interval random variables selection hybrid model for variable selection in near-infrared spectroscopy
HAG Al-Kaf, NAM Alduais, AMHY Saad, KS Chia, AM Mohsen, ...
IEEE Access 8, 168036-168052, 2020
82020
A badminton robot - serving operation design
KS Chia, XY Yap, ES Low
ARPN Journal of Engineering and Applied Sciences 11 (6), 3968-3974, 2016
72016
Predicting the boiling point of diesel fuel using adaptive linear neuron and near infrared spectrum
KS Chia
2015 10th Asian Control Conference (ASCC), 1-3, 2015
72015
Analysis for soluble solid contents in pineapples using NIR spectroscopy
HA Rahim, CK Seng, RA Rahim
J. Teknol 8, 7-11, 2014
72014
Artificial neural network coupled with robust principal components in near infrared spectroscopic analysis
KS Chia, HA Rahim, RA Rahim
2012 IEEE 8th International Colloquium on Signal Processing and its …, 2012
72012
Adaptive artificial neural network in near infrared spectroscopy for standard-free calibration transfer
XY Yap, KS Chia, NAS Suarin
Chemometrics and Intelligent Laboratory Systems 230, 104674, 2022
62022
Artificial neural network and partial least square in predicting blood hemoglobin using near-infrared spectrum
MNEM Idrus, KS Chia
Indonesian Journal of Electrical Engineering and Computer Science 16 (2 …, 2019
62019
Artificial neural network and savitzky golay derivative in predicting blood hemoglobin using near-infrared spectrum
MNEM Idrus, KS Chia, HM Sim, HAG Al-kaf
International Journal of Integrated Engineering 10 (8), 2018
62018
Auto Guided Vehicle Control System using Rotary Encoders and Proportional Controller
SH Lee, KS Chia
International Journal of Integrated Engineering 9 (2), 71-77, 2017
6*2017
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