Mohd Ibrahim Shapiai

发表

An application of extreme learning machine in a graphical user interface for magnetorheological fluid study

Saiful Amri Mazlan, Irfan Bahiuddin, Saidatina Aisyah Mohd Usak, 2017, 2017 International Conference on Robotics, Automation and Sciences (ICORAS).

An Improved Two-Step Supervised Learning Artificial Neural Network for Imbalanced Dataset Problems

Marzuki Khalid, Mohd Ariffanan Mohd Basri, Mohd Ibrahim Shapiai, 2011, 2011 Third International Conference on Computational Intelligence, Modelling & Simulation.

An Oppositional Learning Prediction Operator for Simulated Kalman Filter

Mohd Ibrahim Shapiai, Zuwairie Ibrahim, Kamil Zakwan Mohd Azmi, 2018, 2018 3rd International Conference on Computational Intelligence and Applications (ICCIA).

An application of simulated Kalman filter optimization algorithm for parameter tuning in proportional-integral-derivative controllers for automatic voltage regulator system

Mohd Saberi Mohamad, Dwi Pebrianti, Mohd Ibrahim Shapiai, 2018, 2018 SICE International Symposium on Control Systems (SICE ISCS).

Channel selection for common spatial pattern Based on energy calculation of motor imagery EEG signal

Mohd Ibrahim Shapiai, Jafreezal Jaafar, Noor Akhmad Setiawan, 2017, 2017 International Conference on Control, Electronics, Renewable Energy and Communications (ICCREC).

Extreme learning machine for structured output spaces

Rubiyah Yusof, Mohd Ibrahim Shapiai, Ayman Maliha, 2016, Neural Computing and Applications.

Blade fault diagnosis using artificial neural network

W. K. Ngui, Mohd Salman Leong, Mohd Ibrahim Shapiai, 2017 .

Investigation on Different Kernel Functions for Weighted Kernel Regression in Solving Small Sample Problems

Marzuki Khalid, Mohd Ibrahim Shapiai, Zuwairie Ibrahim, 2011, 2011 UKSim 5th European Symposium on Computer Modeling and Simulation.

Automatic Energy Extraction Methods for EEG Channel Selection

Mohd Ibrahim Shapiai, Zuwairie Ibrahim, Hilman Fauzi, 2018, 2018 International Conference on Control, Electronics, Renewable Energy and Communications (ICCEREC).

Feature selection using angle modulated simulated Kalman filter for peak classification of EEG signals

Marizan Mubin, Ismail Saad, Mohd Ibrahim Shapiai, 2016, SpringerPlus.

Feature Selection Using Binary Simulated Kalman Filter for Peak Classification of EEG Signals

Mohd Ibrahim Shapiai, Asrul Adam, Zuwairie Ibrahim, 2018, 2018 8th International Conference on Intelligent Systems, Modelling and Simulation (ISMS).

SOLVING SMALL SAMPLE RECIPE GENERATION PROBLEM WITH HYBRIDWKRCF-PSO

Mohd Ibrahim Shapiai, 2011 .

Indoor occupancy estimation using carbon dioxide concentration and neural network with random weights

Mohd Ibrahim Shapiai, Asrul Adam, Ahmad Fakhri Ab. Nasir, 2020 .

Development of a hybrid Artificial Neural Network - Naive Bayes classifier for binary classification problem of imbalanced datasets

Marzuki Khalid, Mohd Ibrahim Shapiai, Asrul Adam, 2011 .

RECIPE GENERATION FROM SMALL SAMPLES: INCORPORATING WEIGHTED KERNEL REGRESSION WITH ARTIFICIAL SAMPLES

Marzuki Khalid, Junzo Watada, Mohd Ibrahim Shapiai, 2012 .

Gradient-Based Edge Effects on Lane Marking Detection using a Deep Learning-Based Approach

Mohd Azizi Abdul Rahman, Mohd Hatta Mohammed Ariff, Irfan Bahiuddin, 2020, Arabian Journal for Science and Engineering.

Common spatial pattern with feature scaling (FSc-CSP) for motor imagery classification

Jafreezal Jaafar, Mohd Ibrahim Shapiai, Zuwairie Ibrahim, 2017, AsiaSim 2017.

A Hybrid Feature Selection Technique based on Improved Discrete Firefly and Filter Approach for Blind Image Steganalysis

Mohd Ibrahim Shapiai, Zuwairie Ibrahim, 2020 .

A Rough-Set-Based Two-Class Classifier for Large Imbalanced Dataset

Marzuki Khalid, Junzo Watada, Mohd Ibrahim Shapiai, 2010 .

Investigation on different learning techniques for weighted kernel regression in solving small sample problem

Mohd Saberi Mohamad, Mohd Ibrahim Shapiai, Zuwairie Ibrahim, 2012 .

Enhanced weighted kernel regression with prior knowledge using robot manipulator problem as a case study

Mohd Ibrahim Shapiai, Zuwairie Ibrahim, Marzuki Khalid, 2012 .

Bypassing MRI Pre-processing in Alzheimer's Disease Diagnosis using Deep Learning Detection Network

Mohd Ibrahim Shapiai, Hilman Fauzi, M. I. Shapiai, 2020, 2020 16th IEEE International Colloquium on Signal Processing & Its Applications (CSPA).

Recipe generation from small samples by weighted kernel regression

Mohd Ibrahim Shapiai, Zuwairie Ibrahim, Marzuki Khalid, 2011, 2011 Fourth International Conference on Modeling, Simulation and Applied Optimization.

An Assembly Sequence Planning Approach with Binary Gravitational Search Algorithm

Hamzah Ahmad, Marizan Mubin, Mohd Ibrahim Shapiai, 2014, SoMeT.

Oppositional Learning Prediction Operator with Jumping Rate for Simulated Kalman Filter

Mohd Saberi Mohamad, Mohd Ibrahim Shapiai, Zuwairie Ibrahim, 2019, 2019 International Conference on Computer and Information Sciences (ICCIS).

The Design of Spatial Selection Using CUR Decomposition to Improve Common Spatial Pattern for Multi-trial EEG Classification

Rubiyah Yusof, Mohd Ibrahim Shapiai, Zuwairie Ibrahim, 2017, AsiaSim 2017.

Evaluation of different peak models of eye blink EEG for signal peak detection using artificial neural network

Marizan Mubin, Mohd Ibrahim Shapiai, Asrul Adam, 2016 .

Energy extraction method for EEG channel selection

Mohd Ibrahim Shapiai, Uswah Khairuddin, Hilman Fauzi, 2019, TELKOMNIKA (Telecommunication Computing Electronics and Control).

Transfer Learning of BCI Using CUR Algorithm

Mohd Ibrahim Shapiai, Uswah Khairuddin, Hilman Fauzi, 2020, J. Signal Process. Syst..

Hippocampal segmentation using structured extreme learning machine with bag of features

Mohd Ibrahim Shapiai, Asrul Adam, Zuwairie Ibrahim, 2017, 2017 International Conference on Robotics, Automation and Sciences (ICORAS).

Investigation on energy extraction methods for EEG channels selection in improving common spatial pattern

Mohd Ibrahim Shapiai, Uswah Khairuddin, Hilman Fauzi, 2018 .

A Fitness-Based Adaptive Synchronous-Asynchronous Switching in Simulated Kalman Filter Optimizer

Marizan Mubin, Mohd Ibrahim Shapiai, Zuwairie Ibrahim, 2019, 2019 International Conference on Computer and Information Sciences (ICCIS).

Convolutional Neural Network for Imbalanced Data Classification of Silicon Wafer Defects

Mohd Ibrahim Shapiai, Hilman Fauzi, M. I. Shapiai, 2020, 2020 16th IEEE International Colloquium on Signal Processing & Its Applications (CSPA).

Identification of phoneme and its distribution of malay language derived from Friday sermon transcripts

Puspa Inayat Khalid, Mohd Ibrahim Shapiai, Muhammad Aasim Asyafie, 2014, 2014 IEEE Student Conference on Research and Development.

Artificial neural network — Naïve bayes fusion for solving classification problem of imbalanced dataset

Mohd Ibrahim Shapiai, Asrul Adam, Zuwairie Ibrahim, 2011, 2011 Fourth International Conference on Modeling, Simulation and Applied Optimization.

Improving EEG signal peak detection using feature weight learning of a neural network with random weights for eye event-related applications

Marizan Mubin, Mohd Ibrahim Shapiai, Asrul Adam, 2017, Sādhanā.

EEG Brain Symmetry Index Using Hilbert Huang Transform

Mohd Ibrahim Shapiai, Zuwairie Ibrahim, Ayman Maliha, 2017, AsiaSim 2017.

A Non-linear Function Approximation from Small Samples Based on Nadaraya-Watson Kernel Regression

Marzuki Khalid, Mohd Ibrahim Shapiai, Zuwairie Ibrahim, 2010, 2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks.

Investigation on Different Color Spaces on Faster RCNN for Night-Time Human Occupancy Modelling

Mohd Ibrahim Shapiai, Hilman Fauzi, Zool Hilmi Ismail, 2019, 2019 IEEE 7th Conference on Systems, Process and Control (ICSPC).

Feature scaling for EEG human concentration using particle swarm optimization

Mohd Ibrahim Shapiai, Asrul Adam, Zuwairie Ibrahim, 2016, 2016 8th International Conference on Information Technology and Electrical Engineering (ICITEE).

Study of extreme learning machine activation functions for magnetorheological fluid modelling in medical devices application

Ubaidillah, Saiful Amri Mazlan, Irfan Bahiuddin, 2017, 2017 International Conference on Robotics, Automation and Sciences (ICORAS).

Development of Fuzzy Logic Control Ontology for E-Learning

Rubiyah Yusof, Mohd Ibrahim Shapiai, Muhammad Sollehhuddin A. Jalil, 2016 .

The Quantification of Speech Intelligibility of Malay Words by Means of Corner Vowels

Puspa Inayat Khalid, Mohd Ibrahim Shapiai, Md. Najib Ibrahim, 2016 .

A TWO-STEP SUPERVISED LEARNING ARTIFICIAL NEURAL NETWORK FOR IMBALANCED DATASET PROBLEMS

Marzuki Khalid, Junzo Watada, Mohd Ibrahim Shapiai, 2012 .

Feature Selection and Classifier Parameter Estimation for EEG Signal Peak Detection Using Gravitational Search Algorithm

Marizan Mubin, Mohd Ibrahim Shapiai, Asrul Adam, 2014, 2014 4th International Conference on Artificial Intelligence with Applications in Engineering and Technology.

Classification of human concentration in EEG signals using Hilbert Huang transform

Yasue Mitsukura, Mohd Ibrahim Shapiai, Noor Akhmad Setiawan, 2017 .

Classification of Hippocampal Region using Extreme Learning Machine

Mohd Ibrahim Shapiai, Zuwairie Ibrahim, Norrima Mokhtar, 2017 .

A Hybrid Artificial Neural Network-Naive Bayes for solving imbalanced dataset problems in semiconductor manufacturing test process

Marzuki Khalid, Mohd Ibrahim Shapiai, Asrul Adam, 2011, 2011 11th International Conference on Hybrid Intelligent Systems (HIS).

Recipe Generation from Small Samples: Incorporating an Improved Weighted Kernel Regression with Correlation Factor

Marzuki Khalid, Mohd Ibrahim Shapiai, Zuwairie Ibrahim, 2011, ICSECS.

Improving Vector Evaluated Particle Swarm Optimisation Using Multiple Nondominated Leaders

Marizan Mubin, Mohd Ibrahim Shapiai, Faradila Naim, 2014, TheScientificWorldJournal.

Investigation on Data Augmentation for Object Detection Using Deep Neural Network for Traffic Signs Application

Hairi Zamzuri, Mohd Ibrahim Shapiai, Hilman Fauzi, 2019, SoMeT.

Feature Selection and Classifier Parameters Estimation for EEG Signals Peak Detection Using Particle Swarm Optimization

Mohd Saberi Mohamad, Marizan Mubin, Mohd Ibrahim Shapiai, 2014, TheScientificWorldJournal.

A multiple input probabilistic classifier for imbalanced dataset problem in semiconductor manufacturing

Vladimir Pavlovic, Junzo Watada, Mohd Ibrahim Shapiai, 2011 .

Skeleton-Based Action Recognition with Joint Coordinates as Feature Using Neural Oblivious Decision Ensembles

Mohd Ibrahim Shapiai, Ahmad Kamal Ramli, Uzma Batool, 2021, SoMeT.

Incorporating Attention Mechanism in Enhancing Classification of Alzheimer's Disease

Mohd Ibrahim Shapiai, M. I. Shapiai, Uzma Batool, 2021, SoMeT.

The Implementation of EEG Transfer Learning Method Using Integrated Selection for Motor Imagery Signal

Mohd Ibrahim Shapiai, Hilman Fauzi, Achmad Rizal, 2021 .

A Systematic Review of Deep Learning for Silicon Wafer Defect Recognition

Mohd Ibrahim Shapiai, Zool Hilmi Ismail, Noor Jannah Zakaria, 2021, IEEE Access.

Real Time Identification of Electrical Devices through Power Consumption Pattern Detection

David Al-Dabass, Hwa Jen Yap, R. M. Banakar, 2016 .

An Analysis on the Number of Agents Towards the Performance of the Simulated Kalman Filter Optimizer

Mohd Ibrahim Shapiai, Asrul Adam, Zuwairie Ibrahim, 2018, 2018 8th International Conference on Intelligent Systems, Modelling and Simulation (ISMS).

A Complete Investigation of Using Weighted Kernel Regression for The Case of Small Sample Problem With Noise

Mohd Saberi Mohamad, Mohd Ibrahim Shapiai, Zuwairie Ibrahim, 2015 .

A Kalman filter approach for solving unimodal optimization problems

Mohd Saberi Mohamad, Mohd Ibrahim Shapiai, Zuwairie Ibrahim, 2015 .

Enhanced Nadaraya-Watson Kernel Regression: Surface Approximation for Extremely Small Samples

Marzuki Khalid, Mohd Ibrahim Shapiai, Zuwairie Ibrahim, 2011, 2011 Fifth Asia Modelling Symposium.

Function and surface approximation based on enhanced Kernel Regression for small sample sets

Marzuki Khalid, Vladimir Pavlovic, Junzo Watada, 2011 .