The Accuracy and Error of Ground Penetrating Radar System with Machine Learning Support Vector Regression Technique

QR Code

The Accuracy and Error of Ground Penetrating Radar System with Machine Learning Support Vector Regression Technique

Ground penetrating radar (GPR) is a non-destructive evaluation technique which involve knowledge of electromagnetic theory. Basically, there are three types of radar systems that are often applied in radar applications such as Monostatic, Bistatic, and Multi-static radar. Besides, in order to detect...

Full description

Bibliographic Details
Published in:	Journal of Advanced Research in Applied Sciences and Engineering Technology
Main Author:	Wei C.C.; Karim M.N.A.; Seng L.Y.; Ghazali M.D.M.
Format:	Article
Language:	English
Published:	Semarak Ilmu Publishing 2025
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202154235&doi=10.37934%2faraset.50.1.191202&partnerID=40&md5=db082fc3af9435a0faf9a85bf6b5211a

Similar Items

Implementation of Ground Penetrating Radar in Assessing Leachate in Sanitary Landfill
by: Umar M.S.; Ghazali M.D.; Samad A.M.; Zainon O.; Zainuddin K.; Marzuki F.
Published: (2022)

Interpretation of Ground Penetrating Radar (GPR) image for detecting and estimating buried pipes and cables
by: Wahab W.A.; Jaafar J.; Yassin I.M.; Ibrahim M.R.
Published: (2013)

Ground penetrating radar wave attenuation models for estimation of moisture and chloride content in concrete slab
by: Senin S.F.; Hamid R.
Published: (2016)

Spectral estimator effects on accuracy of speed-over-ground radar
by: Mohd Shariff K.K.; Zainuddin S.; Abdul Aziz N.H.; Abd Rashid N.E.; Zalina Zakaria N.A.
Published: (2022)

The Design Evolution of Trio-Band Vivaldi Antenna With Meander-Line-Fed Shape for Ground Penetrating Radar Application
by: Ahmad Azhari M.S.; Azemi S.N.; Ghazali M.D.; Che Isa C.M.N.; Mohd Fazilah A.F.
Published: (2023)

Effect of moisture and chloride content on the direct and reflected ground penetrating radar waves amplitude ratio in concrete slab
by: Senin S.F.; Hamid R.
Published: (2015)

Enhanced Daily Reference Evapotranspiration Estimation Using Optimized Hybrid Support Vector Regression Models
by: Yong S.L.S.; Ng J.L.; Huang Y.F.; Ang C.K.; Ahmad Kamal N.; Mirzaei M.; Najah Ahmed A.
Published: (2024)

Research on Stock Prediction Model using Mode Decomposition Algorithm and Support Vector Regression
by: Sun Y.; Mutalib S.; Omar; Peng
Published: (2024)

Enhanced Daily Reference Evapotranspiration Estimation Using Optimized Hybrid Support Vector Regression Models
by: Yong, et al.
Published: (2024)

Analysis of Power Consumption and Maximum Demand on Power Factor Using Support Vector Machine Regression
by: Isa S.N.M.; Daud K.; Ibrahim M.N.; Samat A.A.A.; Omar S.; Shafie M.A.
Published: (2024)

Statistical Ground Clutter Analysis for Forward Scatter Micro Radar
by: Zakaria N.A.; Othman K.A.; Khan Z.I.
Published: (2018)

ENHANCING ECOSYSTEM BIODIVERSITY THROUGH AIR POLLUTION CONCENTRATIONS PREDICTION USING SUPPORT VECTOR REGRESSION APPROACHES
by: Solehah, et al.
Published: (2023)

ENHANCING ECOSYSTEM BIODIVERSITY THROUGH AIR POLLUTION CONCENTRATIONS PREDICTION USING SUPPORT VECTOR REGRESSION APPROACHES
by: Solehah S.U.; Abidin A.W.Z.; Warris S.N.; Shaziayani W.N.; Osman B.M.; Ibrahim N.; Noor N.M.; Ul-Saufie A.Z.
Published: (2023)

Ground moving target detection using LTE-based passive radar
by: Abdullah R.S.A.R.; Salah A.A.; Ismail A.; Hashim F.; Aziz N.H.A.; Rashid N.E.A.
Published: (2016)

Children’s Errors in Written Mathematics
by: Liew C.Y.; Leong S.H.; Julaihi N.H.; Lai T.W.; Ting S.U.; Chen C.K.; Hamdan A.
Published: (2022)

Power System Voltage Stability Assessment Using a Hybrid Approach Combining Dragonfly Optimization Algorithm and Support Vector Regression
by: Amroune M.; Bouktir T.; Musirin I.
Published: (2018)

A Novel Hybrid Model Combining the Support Vector Machine (SVM) and Boosted Regression Trees (BRT) Technique in Predicting PM10 Concentration
by: Shaziayani W.N.; Ahmat H.; Razak T.R.; Zainan Abidin A.W.; Warris S.N.; Asmat A.; Noor N.M.; Ul-Saufie A.Z.
Published: (2022)

Conceptual Model For The Implementation Of Electric Ground Support Equipment In Ground Handling Activities In Indonesia
by: Sari M.; Mohamed W.M.W.; alil S.A.
Published: (2021)

Choice for a support vector machine kernel function for recognizing asphyxia from infant cries
by: Sahak R.; Mansor W.; Khuan L.Y.; Yassin A.I.M.; Zabidi A.; Yasmin F.; Rahman A.
Published: (2009)

Modeling the emission characteristics of the hydrogen-enriched natural gas engines by multi-output least-squares support vector regression: Comprehensive statistical and operating analyses
by: Hai T.; Hussein Kadir D.; Ghanbari A.
Published: (2023)

Weed classification using one class support vector machine
by: Shahbudin S.; Zamri M.; Kassim M.; Abdullah S.A.C.; Suliman S.I.
Published: (2017)

Investigation of systematic errors for the hybrid and panoramic scanners
by: Abbas M.A.; Setan H.; Majid Z.; Chong A.K.; Luh L.C.; Idris K.M.; Ariff M.F.M.
Published: (2014)

Soil Consistency Prediction Based on Cone Penetration Test (CPT) Using ANN (Artificial Neural Network) and Multinomial Regression (Case Study: Surabaya Region)
by: Wahyuni F.; Wildani Z.; Purnamasari R.
Published: (2024)

Detection of asphyxia from infant cry using support vector machine and multilayer perceptron integrated with Orthogonal Least Square
by: Sahak R.; Mansor W.; Khuan L.Y.; Zabidi A.; Yassin A.I.M.
Published: (2012)

Bornean Orangutan Nest Classification using Image Enhancement with Convolutional Neural Network and Kernel Multi Support Vector Machine Classifier
by: Amran A.A.; On C.K.; Karim S.A.A.; Hung L.P.; See C.S.; Simon D.; Rossdy M.; Jing C.
Published: (2025)

Anomalous gait detection based on support vector machine
by: Manap H.H.; Tahir N.Md.; Yassin A.I.M.
Published: (2011)

Medication errors in the Southeast Asian countries: A systematic review
by: Salmasi S.; Khan T.M.; Hong Y.H.; Ming L.C.; Wong T.W.
Published: (2015)

Predicting of the physique performance and accuracy of college students based on multiple linear regression and BP neural network
by: Huang X.; Sulaiman M.S.B.; Rosli M.M.; Binchun J.
Published: (2023)

Content Based-Image Retrieval Using Support Vector Machine
by: Shahrom S.I.; Mohamed N.; Kamarudin S.F.; Ghazali W.N.A.W.; Malek A.A.
Published: (2021)

Knots timber detection and classification with C-support vector machine
by: Redzuan F.I.M.; Yusoff M.
Published: (2019)

Exploring feature selection and support vector machine in text categorization
by: Abdul-Rahman S.; Mutalib S.; Khanafi N.A.; Ali A.M.
Published: (2013)

Classification of transient in power system using support vector machine
by: Harnzah N.; Anuwar F.H.; Zakaria Z.; Tahir N.Md.
Published: (2009)

A review of the application of support vector machines in landslide susceptibility mapping
by: Yusof M.K.T.M.; Rashid A.S.A.; Apandi N.M.; Khanan M.F.B.A.; Rahman M.Z.B.A.
Published: (2023)

Fault classification in smart distribution network using support vector machine
by: Chuan O.W.; Ab Aziz N.F.; Yasin Z.M.; Salim N.A.; Wahab N.A.
Published: (2020)

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)

Precipitation estimation using support vector machine with discrete wavelet transform
by: Shenify M.; Danesh A.S.; Gocić M.; Taher R.S.; Wahab A.W.A.; Gani A.; Shamshirband S.; Petković D.
Published: (2015)

The Classification Performance using Support Vector Machine for Endemic Dengue Cases
by: Nordin N.I.; Mohd Sobri N.; Ismail N.A.; Zulkifli S.N.; Abd Razak N.F.; Mahmud M.
Published: (2020)

AN OPTIMIZED SUPPORT VECTOR MACHINE WITH GENETIC ALGORITHM FOR IMBALANCED DATA CLASSIFICATION
by: Shamsudin H.; Yusof U.K.; Haijie Y.; Isa I.S.
Published: (2023)

Power Transformer Incipient Fault Diagnosis Using Support Vector Machine
by: Rosli M.A.S.; Zakaria F.; Zin N.M.; Daud R.M.N.R.; Sidek M.N.; Zain M.Y.M.; Kassim A.H.
Published: (2022)

Incidence and pattern of medication errors in a general paediatric ward in a developing nation
by: Tang K.L.; Wimmer B.C.; Akkawi M.E.; Ming L.C.; Ibrahim B.
Published: (2018)