Indirect monitoring of surface quality based on the integration of support vector machine and 3D I-kaz techniques in the machining process

Indirect monitoring of surface quality based on the integration of support vector machine and 3D I-kaz techniques in the machining process

Improved machining process quality can contribute to sustainable manufacturing in terms of economic, environmental, and social sustainability. Reducing waste, increasing efficiency, and improving product quality can also help manufacturers to reduce costs and increase productivity rate. Machining is...

Full description

Bibliographic Details
Main Author:	Norlida, Jamil
Format:	Thesis
Language:	English
Published:	2023
Subjects:	TA Engineering (General). Civil engineering (General) TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/41485/1/ir.NORLIDA%20BINTI%20JAMIL_PMF16001.pdf

Similar Items

The Identification of Hunger Behaviour of Lates Calcarifer through the Integration of Image Processing Technique and Support Vector Machine
by: Zahari, Taha, et al.
Published: (2018)

Integrating Taguchi Method and Support Vector Machine for Enhanced Surface Roughness Modeling and Optimization
by: Mat Deris, Ashanira, et al.
Published: (2024)

Sentiment analysis technique: A look into support vector machine and naive bayes
by: Kaur, W., et al.
Published: (2016)

The employment of Support Vector Machine to classify high and low performance archers based on bio-physiological variables
by: Zahari, Taha, et al.
Published: (2018)

The Identification of High Potential Archers Based on Fitness and Motor Ability Variables: A Support Vector Machine Approach
by: Zahari, Taha, et al.
Published: (2018)

Rain classification for autonomous vehicle navigation : A support vector machine approach
by: Abdul Haleem, Habeeb Mohamed, et al.
Published: (2020)

Iris recognition system by using support vector machines
by: Ali, Hasimah, et al.
Published: (2008)

Iris recognition system using support vector machines
by: Ali, Hasimah, et al.
Published: (2011)

Prediction of recycle method using relevance vector machine
by: Mat Noor, Muhamad, et al.
Published: (2011)

On Coresets for Support Vector Machines
by: Baykal, Cenk, et al.
Published: (2021)

Properties of Support Vector Machines
by: Pontil, Massimiliano, et al.
Published: (2004)

The identification of high potential archers based on relative psychological coping skills variables: A Support Vector Machine approach
by: Zahari, Taha, et al.
Published: (2018)

Incremental continuous ant colony optimization technique for support vector machine model selection problem
by: Alwan, Hiba Basim, et al.
Published: (2012)

Face recognition using eigenfaces and smooth support vector machine
by: Mhd, Furqan
Published: (2011)

Enhancement of new smooth support vector machines for classification problems
by: Santi Wulan, Purnami
Published: (2011)

Support vector machines for biomedical applications
by: Chaw, Su Khine.
Published: (2008)

Support Vector Machines: Training and Applications
by: Osuna, Edgar, et al.
Published: (2004)

Integration of spectral information into support vector machine for land cover classification
by: Md. Sap, Mohd. Noor, et al.
Published: (2007)

PEMODELAN RESIKO KREDIT DENGAN PENDEKATAN SUPPORT VECTOR MACHINE SUPPORT VECTOR MACHINE APPROACH TO CREDIT RISK
by: , CHRISTINA EVA NURYANI, et al.
Published: (2012)

Identification of Peptide Inhibitors of Enveloped Viruses Using Support Vector Machine
by: Xu, Y., et al.
Published: (2015)

The classification of skateboarding trick manoeuvres through the integration of image processing techniques and machine learning
by: Muhammad Nur Aiman, Shapiee, et al.
Published: (2019)

Automatic Arabic Recognition System based on Support Vector Machines (SVM)
by: Astuti, Winda, et al.
Published: (2011)

Condition monitoring based on IoT for predictive maintenance of CNC machines
by: Yahya Mohammed, Al-Naggar, et al.
Published: (2021)

Email categorization using support vector machine
by: Mohd. Daud, Mariah
Published: (2004)

From Regression to Classification in Support Vector Machines
by: Pontil, Massimiliano, et al.
Published: (2004)

Texture-based classification of workpiece surface images using the support vector machine
by: Ashour, Mohammed Waleed, et al.
Published: (2015)

The Classification of Wafer Defects: A Support Vector Machine with Different DenseNet Transfer Learning Models Evaluation
by: Ismail, Mohd Khairuddin, et al.
Published: (2023)

Influence of process parameters on electrical discharge machined job surface integrity
by: Iqbal, A.K.M. Asif, et al.
Published: (2010)

Animal sound activity detection using multi-class support vector machines
by: Astuti, Winda, et al.
Published: (2011)

Criteria for determining machinability and techniques of improving machinability of steel and alloys
by: Amin, A. K. M. Nurul
Published: (1993)

Optimization of Coolant Technique Conditions for Machining A319 Aluminium Alloy Using Response Surface Method (RSM)
by: Zainal Ariffin, Selamat, et al.
Published: (2018)

Classification of urinary dielectric properties for diabetes and kidney disease using support vector machine
by: Peck, S.M., et al.
Published: (2016)

Pathway-based analysis with support vector machine (SVM-LASSO) for gene selection and classification
by: Nurul Athirah, Nasrudin, et al.
Published: (2017)

LSB algorithm based on support vector machine in digital image steganography
by: Hussain, Hanizan Shaker, et al.
Published: (2017)

Support vector machines for predicting protein-protein interactions using domains and hydrophobicity features
by: Alashwal, Hany Taher Ahmed, et al.
Published: (2006)

Face Recognition Approach using an Enhanced Particle Swarm Optimization and Support Vector Machine
by: Saad, Wasan Kadhim, et al.
Published: (2019)

Keystroke pressure-based typing biometrics authentication system using support vector machines
by: Martono, Wahyudi, et al.
Published: (2007)

Chatter identification of vibration signals and surface roughness using wavelet transform and I-kaz™ statistical methods
by: Samin, R, et al.
Published: (2024)

Extending the decomposition algorithm for support vector machines training
by: Zaki, N,M., et al.
Published: (2003)

Online handwriting recognition using support vector machine
by: Ahmad, Abdul Rahim, et al.
Published: (2004)