Mohd Ibrahim Shapiai

Orcid: 0000-0003-0594-8231

Affiliations:
  • Universiti Teknologi Malaysia, Malaysia-Japan International Institute of Technology, Kuala Lumpur, Malaysia


According to our database1, Mohd Ibrahim Shapiai authored at least 27 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Machine learning algorithms for predicting the risk of chronic kidney disease in type 1 diabetes patients: a retrospective longitudinal study.
Neural Comput. Appl., September, 2024

A Versatile and Wireless Multichannel Capacitive EMG Measurement System for Digital Healthcare.
IEEE Internet Things J., June, 2024

LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams.
Biomed. Signal Process. Control., 2024

2023
3D shallow deep neural network for fast and precise segmentation of left atrium.
Multim. Syst., June, 2023

A Flexible Capacitive Electromyography Biomedical Sensor for Wearable Healthcare Applications.
IEEE Trans. Instrum. Meas., 2023

Lane Detection in Autonomous Vehicles: A Systematic Review.
IEEE Access, 2023

A Systematic Review of Deep Learning Microalgae Classification and Detection.
IEEE Access, 2023

An Attention-Augmented Convolutional Neural Network With Focal Loss for Mixed-Type Wafer Defect Classification.
IEEE Access, 2023

Enhancing Multi-Stage Classification of Alzheimer's Disease with Attention Mechanism.
Proceedings of the IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2023

2022
EDR-Net: Lightweight Deep Neural Network Architecture for Detecting Referable Diabetic Retinopathy.
IEEE Trans. Biomed. Circuits Syst., 2022

Human action interpretation using convolutional neural network: a survey.
Mach. Vis. Appl., 2022

2021
A Systematic Review of Deep Learning for Silicon Wafer Defect Recognition.
IEEE Access, 2021

Incorporating Attention Mechanism in Enhancing Classification of Alzheimer's Disease.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2021

Skeleton-Based Action Recognition with Joint Coordinates as Feature Using Neural Oblivious Decision Ensembles.
Proceedings of the New Trends in Intelligent Software Methodologies, Tools and Techniques, 2021

An Improved Dense V-Network for Fast and Precise Segmentation of Left Atrium.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Transfer Learning of BCI Using CUR Algorithm.
J. Signal Process. Syst., 2020

Oversampling Based on Data Augmentation in Convolutional Neural Network for Silicon Wafer Defect Classification.
Proceedings of the Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques, 2020

2019
A new platform for the prediction of field-dependent yield stress and plastic viscosity of magnetorheological fluids using particle swarm optimization.
Appl. Soft Comput., 2019

Efficient Herd - Outlier Detection in Livestock Monitoring System Based on Density - Based Spatial Clustering.
IEEE Access, 2019

Investigation on Data Augmentation for Object Detection Using Deep Neural Network for Traffic Signs Application.
Proceedings of the Advancing Technology Industrialization Through Intelligent Software Methodologies, Tools and Techniques, 2019

2018
Extreme learning machine for structured output spaces.
Neural Comput. Appl., 2018

2014
An Assembly Sequence Planning Approach with Binary Gravitational Search Algorithm.
Proceedings of the New Trends in Software Methodologies, Tools and Techniques, 2014

2011
Recipe Generation from Small Samples: Incorporating an Improved Weighted Kernel Regression with Correlation Factor.
Proceedings of the Software Engineering and Computer Systems, 2011

A Hybrid Artificial Neural Network-Naive Bayes for solving imbalanced dataset problems in semiconductor manufacturing test process.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

Investigation on Different Kernel Functions for Weighted Kernel Regression in Solving Small Sample Problems.
Proceedings of the UKSim 5th European Symposium on Computer Modeling and Simulation, 2011

2010
A Non-linear Function Approximation from Small Samples Based on Nadaraya-Watson Kernel Regression.
Proceedings of the Second International Conference on Computational Intelligence, 2010

A Modified Artificial Neural Network Learning Algorithm for Imbalanced Data Set Problem.
Proceedings of the Second International Conference on Computational Intelligence, 2010


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