Ibrahim Masood

发表

Development of Neurobehavioral Deterioration Risk Prediction Model for Welder: A Proposed Study

Nuur Azreen Paiman, Azian Hariri, Ibrahim Masood, 2018 .

Identification of unnatural variation in manufacturing of hard disc drive component

Ibrahim Masood, Norasulaini Binti Abdul Rahman, Siti Nur Hasrat Binti Abdul Halim, 2015 .

Multivariate Process Monitoring and Diagnosis: A Case Study

Ibrahim Masood, Adnan Hassan, 2013 .

Inter- and intra- observer reliability of the offera method for assessing exposure risk of computer work-related to wmsds

Ibrahim Masood, Reazul Haq Abdul Haq, A.M.T. Arifin, 2019 .

Synergistic-ANN Recognizers for Monitoring and Diagnosis of Multivariate Process Shift Patterns

Ibrahim Masood, Adnan Hassan, 2009, 2009 International Conference of Soft Computing and Pattern Recognition.

Decision support tool for diagnosing the source of variation

Mohd Shahir Yahya, Ibrahim Masood, Mohd Azwir Azlan, 2017 .

A Framework for Multivariate Process Monitoring and Diagnosis

Ibrahim Masood, Adnan Hassan, 2013 .

Quality control in hard disc drive manufacturing using pattern recognition technique

Ibrahim Masood, Victor Bee Ee Shyen, I. Masood, 2016 .

Bivariate SPC Chart Pattern Recognition Using Modular-Neural Network

Ibrahim Masood, Nurul Adlihisam Mohd Sohaimi, Danial Nor, 2018, Journal of Physics: Conference Series.

METHODOLOGY FOR DESIGNING A CONTROL CHART PATTERN RECOGNIZER IN MONITORING METAL STAMPING OPERATION

Ibrahim Masood, Norasulaini Binti Abdul Rahman, I. Masood, 2015 .

Recognition of unnatural variation patterns in metal-stamping process using artificial neural network and statistical features

Ibrahim Masood, Norasulaini Binti Abdul Rahman, Mohd Nasrull Abdol Rahman, 2016 .

Risk prediction model: Statistical and artificial neural network approach

Nuur Azreen Paiman, Azian Hariri, Ibrahim Masood, 2017 .

A scheme for balanced monitoring and accurate diagnosis of bivariate process mean shifts

Ibrahim Masood, I. Masood, 2012 .

Pattern recognition for bivariate process mean shifts using feature-based artificial neural network

Ibrahim Masood, Adnan Hassan, A. Hassan, 2013 .

Diagnosis of bivariate process variation using an integrated MSPC-ANN scheme

Ibrahim Masood, Adel Muhsin Elewe, Rasheed Majeed Ali, 2016 .

Recognition of control chart patterns with incomplete samples

Ibrahim Masood, Mohd Fahrul Hassan, Mohd Nasrull Abdol Rahman, 2017 .

Design of an Artificial Neural Network Pattern Recognition Scheme Using Full Factorial Experiment

Ibrahim Masood, Nadia Zulikha Zainal Abidin, Nur Rashida Roshidi, 2013 .

An integrated MEWMA-ANN scheme towards balanced monitoring and accurate diagnosis of bivariate process mean shifts

Ibrahim Masood, Adnan Hassan, 2012, J. King Saud Univ. Comput. Inf. Sci..

Issues in development of artificial neural network-based control chart pattern recognition schemes

Ibrahim Masood, Adnan Hassan, A. Hassan, 2010 .

Control Chart Pattern Recognition in Metal-Stamping Process Using Statistical Features-Ann

Ibrahim Masood, Norasulaini Binti Abdul Rahman, Mohd Nasrull Abdol Rahman, 2017 .

Bivariate quality control using two-stage intelligent monitoring scheme

Ibrahim Masood, Adnan Hassan, A. Hassan, 2014, Expert Syst. Appl..

Improved performance of an artificial neural network pattern recognizer using design of experiments technique

Ibrahim Masood, Adnan Hassan, Nadia Zulikha Zainal Abidin, 2014 .

Design methodology of modular-ANN pattern recognizer for bivariate quality control

Ibrahim Masood, Mohd Fahrul Hassan, Musli Mohammad, 2017 .

Statistical features-ANN recognizer for bivariate process mean shift pattern recognition

Ibrahim Masood, Adnan Hassan, 2010, 2010 International Conference on Intelligent and Advanced Systems.

Application of Full Factorial Experiment in Designing an ANN-based Control Chart Pattern Recognizer

Ibrahim Masood, Adnan Hassan, 2008 .

Strategies for Integrating Quality, Environmental, Safety and Health Management Systems

Mohd Shahir Yahya, Ibrahim Masood, Mohd Rasid Osman, 2013 .