Mohd Ibrahim Shapiai
Orcid: 0000-0003-0594-8231Affiliations:
- 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.
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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
Multim. Syst., June, 2023
A Flexible Capacitive Electromyography Biomedical Sensor for Wearable Healthcare Applications.
IEEE Trans. Instrum. Meas., 2023
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
Mach. Vis. Appl., 2022
2021
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
Proceedings of the International Joint Conference on Neural Networks, 2021
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
2014
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