M. I. Shapiai

发表

Smart embedded-analytics sensors with cloud-based measurement system for HVAC

Syed Alwee Aljunid, R. Endut, N. A. M. Ahmad Hambali, 2020 .

Lane Line Detection via Deep Learning Based- Approach Applying Two Types of Input into Network Model

M. I. Shapiai, N. J. Zakaria, M. A. Abdul Rahman, 2020 .

Evaluation of different time domain peak models using extreme learning machine-based peak detection for EEG signal

M. I. Shapiai, P. Cumming, Asrul Adam, 2016, SpringerPlus.

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 .

Prediction of field-dependent rheological properties of magnetorheological grease using extreme learning machine method

Ubaidillah, M. I. Shapiai, S. Mazlan, 2019, Journal of Intelligent Material Systems and Structures.

Essential semiconductor films in micro-/nano-biosensors: Current scenarios

M. I. Shapiai, Z. Ismail, S. Gopinath, 2021, Journal of the Taiwan Institute of Chemical Engineers.

A Review on Time-domain Peak Detection and Classification Algorithms for Electroencephalogram Signals

M. I. Shapiai, Asrul Adam, N. Mokhtar, 2019, MEKATRONIKA.

Gravitational Search Algorithm with a More Accurate Newton’s Gravitational Principle

Mohamad Nizam Aliman, M. I. Shapiai, Z. Ibrahim, 2017, AsiaSim 2017.

Enhanced Weighted Kernel Regression with Prior Knowledge in Solving Small Sample Problems

M. I. Shapiai, M. Khalid, Z. Ibrahim, 2011, 2011 Third International Conference on Computational Intelligence, Modelling & Simulation.

Pareto Optimality Concept for Incorporating Prior Knowledge for System Identification Problem with Insufficient Samples

M. I. Shapiai, Asrul Adam, Z. Ibrahim, 2017 .

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).

Comparing the linear and logarithm normalized extreme learning machine in flow curve modeling of magnetorheological fluid

M. I. Shapiai, M. N. Muhtazaruddin, A. Y. A. Fatah, 2019, Indonesian Journal of Electrical Engineering and Computer Science.

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 multiple input probabilistic classifier for imbalanced dataset problem in semiconductor manufacturing

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

Biosensing human blood clotting factor by dual probes: Evaluation by deep long short‐term memory networks in time series forecasting

Nur Maisarah Mohd Sobran, M. I. Shapiai, Z. Ismail, 2021, Biotechnology and applied biochemistry.

Table of Contents

M. I. Shapiai, E. Dowler, D. Illiescu, 2013 .

Waveguide for vortex mode generation in HVAC cloud management communication

M. I. Shapiai, A. Amphawan, M. Yasin, 2020 .

Livestock Posture Recognition Using Deep Learning

M. I. Shapiai, Tan Su Tung, M. Hiew, 2022, 2022 4th International Conference on Smart Sensors and Application (ICSSA).

Extreme learning machine for structured output spaces

M. I. Shapiai, R. Yusof, Ayman Maliha, 2018, Neural Computing and Applications.

EEG BSI-HHT in ischaemic stroke with multifocal infarction

M. I. Shapiai, Fathrul Azarshah Abdul Aziz, Z. Ismail, 2017, TENCON 2017 - 2017 IEEE Region 10 Conference.

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).

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

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

A Modified Artificial Neural Network Learning Algorithm for Imbalanced Data Set Problem

An Zhengang, M. I. Shapiai, Yun Chao, 2010, 2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks.

A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument

M. I. Shapiai, Mohammad Arif Sobhan Bhuiyan, R. Malik, 2023, Diagnostics.

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.

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

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

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.

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.

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 .

Blade Fault Localization with the Use of Vibration Signals Through Artificial Neural Network: A Data-Driven Approach

L. M. Hee, M. I. Shapiai, Ngui Wai Keng, 2022, Pertanika Journal of Science and Technology.

Non-parametric multiple inputs prediction model for magnetic field dependent complex modulus of magnetorheological elastomer

M. I. Shapiai, A. Y. A. Fatah, S. Mazlan, 2022, Scientific Reports.

Human action interpretation using convolutional neural network: a survey

M. I. Shapiai, Zainab Malik, 2022, Machine Vision and Applications.

Parameter Optimization for Conventional Soft Frequency Reuse in Multi Cell Networks using Extreme Learning Machine and Genetic Algorithm

Rudzidatul Akmam Dziyauddin, M. F. Misran, Mohd Ibrahim Shapiai, 2016 .

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.

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

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

A Systematic Review of Deep Learning for Silicon Wafer Defect Recognition

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

The Growth Performance and Costs of Rearing Friesian Crossbreed Dairy Young Stock in Malaysian Commercial Farm

M. I. Shapiai, Nur Hakimah Bt Mohd Suhaimi, S. Sithambaram, 2021, Jurnal Manajemen dan Agribisnis.

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).

Radial basis function neural network for head roll prediction modelling in a motion sickness study

Mohd Hatta Mohammed Ariff, Hairi Zamzuri, Mohd Azizi Abdul Rahman, 2019, Indonesian Journal of Electrical Engineering and Computer Science.

Analysis of a Multilevel Voltage-Based Coordinating Controller for Solar-Wind Energy Generator: A Simulation, Development and Validation Approach

M. I. Shapiai, R. Singh, T. Lachumanan, 2021, Engineering, Technology & Applied Science Research.

Transfer Learning of BCI Using CUR Algorithm

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

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

M. I. Shapiai, Hilman Fauzi, U. Khairuddin, 2019, Journal of Signal Processing Systems.

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).

Using cascade CNN-LSTM-FCNs to identify AI-altered video based on eye state sequence

M. Z. Ibrahim, M. I. Shapiai, M. Saealal, 2022, PloS one.

EEG Brain Symmetry Index Using Hilbert Huang Transform

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

A machine learning approach to estimate magnetorheological suspension composition based on magnetic field dependent-rheological properties

Ubaidillah, M. I. Shapiai, S. Mazlan, 2021, Smart Materials and Structures.

A new constitutive model of a magneto-rheological fluid actuator using an extreme learning machine method

Seung-Bok Choi, Irfan Bahiuddin, Fitrian Imaduddin, 2018, Sensors and Actuators A: Physical.

A new platform for the prediction of field-dependent yield stress and plastic viscosity of magnetorheological fluids using particle swarm optimization

Ubaidillah, Seung-Bok Choi, Saiful Amri Mazlan, 2019, Appl. Soft Comput..

Multi-Agent Finite Impulse Response Optimizer for Numerical Optimization Problems

Nor Hidayati Abdul Aziz, Tasiransurini Ab Rahman, M. I. Shapiai, 2020 .

Evaluation of Different Horizon Lengths in Single-agent Finite Impulse Response Optimizer

Nor Hidayati Abdul Aziz, M. I. Shapiai, Z. Ibrahim, 2019, 2019 International Conference on Computer and Information Sciences (ICCIS).

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).

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).

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).

A Kalman filter approach for solving unimodal optimization problems

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

Incorporating Attention Mechanism in Enhancing Classification of Alzheimer's Disease

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

EDR-Net: Lightweight Deep Neural Network Architecture for Detecting Referable Diabetic Retinopathy

M. I. Shapiai, F. Mériaudeau, T. Tang, 2022, IEEE Transactions on Biomedical Circuits and Systems.

A study of multiple reward function performances for vehicle collision avoidance systems applying the DQN algorithm in reinforcement learning

M. I. Shapiai, N. J. Zakaria, N. Wahid, 2021, IOP Conference Series: Materials Science and Engineering.

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 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).

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.

Vascular dementia classification based on hilbert huang transform as feature extractor

Hilman Fauzi, Mohd Ibrahim Shapiai, Wan Siti Nur Shafiqa Wan Musa, 2020 .

Data trustworthiness in Internet of Things: A taxonomy and future directions

Izzatdin Abdul Aziz, Jafreezal Jaafar, Nazleeni Haron, 2017, 2017 IEEE Conference on Big Data and Analytics (ICBDA).

Enhancing Multi-Stage Classification of Alzheimer's Disease with Attention Mechanism

M. I. Shapiai, Wong Pui Ching, Shahrum Shah Abdullah, 2023, 2023 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET).

An Improved Dense V-Network for Fast and Precise Segmentation of Left Atrium

Riyad Alshammari, Imran Razzak, M. I. Shapiai, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Pareto Optimality Concept for Incorporating Prior Knowledge for System Identification Problem with Insufficient Samples

M. I. Shapiai, Asrul Adam, Z. Ibrahim, 2016, Arabian Journal for Science and Engineering.

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 .

Review of modeling schemes and machine learning algorithms for fluid rheological behavior analysis

Ubaidillah, M. I. Shapiai, S. Mazlan, 2024, Journal of the Mechanical Behavior of Materials.

Support Vector Machine Hardware Accelerator for Tongue Color Diagnosis

U. U. Sheikh, M. I. Shapiai, N. Kamarudin, 2022 .

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.

Mapping Research Themes and Future Directions in Learning Style Detection Research: A Bibliometric and Content Analysis

M. I. Shapiai, Adi Wijaya, Noor Akhmad Setiawan, 2023, Electronic Journal of e-Learning.

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.

Tongue Colour Diagnosis System Using Convolutional Neural Network

U. U. Sheikh, M. I. Shapiai, N. Kamarudin, 2022, Journal of Physics: Conference Series.