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ORCIDMohd Ibrahim Shapiai
Person information
- affiliation: Universiti Teknologi Malaysia, Malaysia-Japan International Institute of Technology, Kuala Lumpur, Malaysia
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Journal Articles
- 2024
[j15]Moajjem Hossain Chowdhury
, Muhammad E. H. Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Seyed Mehdi Rakhtala, M. Murugappan, Sakib Mahmud, Md Nazmul Islam Shuzan, Ahmad Ashrif A. Bakar, Mohd Ibrahim Bin Shapiai, Muhammad Salman Khan, Amith Khandakar:
LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams. Biomed. Signal Process. Control. 89: 105687 (2024)- [j14]Charn Loong Ng, Mamun Bin Ibne Reaz, Maria Liz Crespo, Andres Cicuttin, Mohd Ibrahim Bin Shapiai, Sawal Hamid Md. Ali, Muhammad Enamul Hoque Chowdhury:
A Versatile and Wireless Multichannel Capacitive EMG Measurement System for Digital Healthcare. IEEE Internet Things J. 11(11): 20120-20137 (2024) - [j13]Md. Nakib Hayat Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Maria Liz Crespo, Andres Cicuttin, Shamim Ahmad, Fahmida Haque, Ahmad Ashrif A. Bakar, Mohd Ibrahim Shapiai Razak, Mohammad Arif Sobhan Bhuiyan:
Machine learning algorithms for predicting the risk of chronic kidney disease in type 1 diabetes patients: a retrospective longitudinal study. Neural Comput. Appl. 36(26): 16545-16565 (2024) - 2023
- [j12]Noor Jannah Zakaria, Mohd Ibrahim Shapiai, Rasli Abd Ghani, Mohd Najib Mohd Yasin, Mohd Zamri Ibrahim, Nurbaiti Wahid:
Lane Detection in Autonomous Vehicles: A Systematic Review. IEEE Access 11: 3729-3765 (2023) - [j11]Dina M. Madkour, Mohd Ibrahim Shapiai, Shaza Eva Mohamad, Hesham Hamdy Aly, Zool Hilmi Ismail, Mohd Zamri Ibrahim:
A Systematic Review of Deep Learning Microalgae Classification and Detection. IEEE Access 11: 57529-57555 (2023) - [j10]Uzma Batool, Mohd Ibrahim Shapiai, Salama A. Mostafa, Mohd Zamri Ibrahim:
An Attention-Augmented Convolutional Neural Network With Focal Loss for Mixed-Type Wafer Defect Classification. IEEE Access 11: 108891-108905 (2023) - [j9]Asma Kausar, Imran Razzak, Mohd Ibrahim Shapiai, Amin Beheshti:
3D shallow deep neural network for fast and precise segmentation of left atrium. Multim. Syst. 29(3): 1739-1749 (2023) - [j8]Charn Loong Ng, Mamun Bin Ibne Reaz, Maria Liz Crespo, Andres Cicuttin, Mohd Ibrahim Bin Shapiai, Sawal Hamid Md. Ali, Noorfazila Kamal, Muhammad Enamul Hoque Chowdhury:
A Flexible Capacitive Electromyography Biomedical Sensor for Wearable Healthcare Applications. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - 2022
- [j7]Zainab Malik, Mohd Ibrahim Bin Shapiai:
Human action interpretation using convolutional neural network: a survey. Mach. Vis. Appl. 33(3): 37 (2022) - [j6]Ahmad Bukhari Aujih, Mohd Ibrahim Shapiai, Fabrice Mériaudeau, Tong Boon Tang:
EDR-Net: Lightweight Deep Neural Network Architecture for Detecting Referable Diabetic Retinopathy. IEEE Trans. Biomed. Circuits Syst. 16(3): 467-478 (2022) - 2021
- [j5]Uzma Batool, Mohd Ibrahim Shapiai, Muhammad Tahir, Zool Hilmi Ismail, Noor Jannah Zakaria, Ahmed Elfakharany:
A Systematic Review of Deep Learning for Silicon Wafer Defect Recognition. IEEE Access 9: 116572-116593 (2021) - 2020
- [j4]Hilman Fauzi, Mohd Ibrahim Shapiai, Uswah Khairuddin:
Transfer Learning of BCI Using CUR Algorithm. J. Signal Process. Syst. 92(1): 109-121 (2020) - 2019
- [j3]Zool Hilmi Ismail, Alan Kh'ng Kean Chun, Mohd Ibrahim Shapiai Razak:
Efficient Herd - Outlier Detection in Livestock Monitoring System Based on Density - Based Spatial Clustering. IEEE Access 7: 175062-175070 (2019) - [j2]Irfan Bahiuddin, Saiful Amri Mazlan, Mohd Ibrahim Shapiai, Fitrian Imaduddin, Ubaidillah, Seung-Bok Choi:
A new platform for the prediction of field-dependent yield stress and plastic viscosity of magnetorheological fluids using particle swarm optimization. Appl. Soft Comput. 76: 615-628 (2019) - 2018
- [j1]Ayman Maliha, Rubiyah Yusof, Mohd Ibrahim Shapiai:
Extreme learning machine for structured output spaces. Neural Comput. Appl. 30(4): 1251-1264 (2018)
Conference and Workshop Papers
- 2023
- [c12]Wong Pui Ching, Shahrum Shah Abdullah, Mohd Ibrahim Shapiai:
Enhancing Multi-Stage Classification of Alzheimer's Disease with Attention Mechanism. IICAIET 2023: 230-235 - 2021
- [c11]Asma Kausar, Imran Razzak, Mohd Ibrahim Shapiai, Riyad Alshammari:
An Improved Dense V-Network for Fast and Precise Segmentation of Left Atrium. IJCNN 2021: 1-8 - [c10]Fakhrul Aniq Hakimi Nasrul 'Alam, Mohd Ibrahim Shapiai, Uzma Batool, Ahmad Kamal Ramli, Khairil Ashraf Elias:
Skeleton-Based Action Recognition with Joint Coordinates as Feature Using Neural Oblivious Decision Ensembles. SoMeT 2021: 380-392 - [c9]Nur Amirah Abd Hamid, Mohd Ibrahim Shapiai, Uzma Batool, Ranjit Singh Sarban Singh, Muhamad Kamal Mohammed Amin, Khairil Ashraf Elias:
Incorporating Attention Mechanism in Enhancing Classification of Alzheimer's Disease. SoMeT 2021: 496-509 - 2020
- [c8]Uzma Batool, Mohd Ibrahim Shapiai, Nordinah Ismail, Hilman Fauzi, Syahrizal Salleh:
Oversampling Based on Data Augmentation in Convolutional Neural Network for Silicon Wafer Defect Classification. SoMeT 2020: 3-12 - 2019
- [c7]Hossamelden Mohamed Elhawary, Mohd Ibrahim Shapiai, Hairi Zamzuri, Hilman Fauzi:
Investigation on Data Augmentation for Object Detection Using Deep Neural Network for Traffic Signs Application. SoMeT 2019: 144-156 - 2014
- [c6]Ismail Ibrahim, Zuwairie Ibrahim, Hamzah Ahmad, Zulkifli Md. Yusof, Mohd Ibrahim Shapiai, Sophan Wahyudi Nawawi, Marizan Mubin:
An Assembly Sequence Planning Approach with Binary Gravitational Search Algorithm. SoMeT 2014: 179-193 - 2011
- [c5]Mohd Ibrahim Shapiai, Shahdan Sudin, Zuwairie Ibrahim, Marzuki Khalid:
Investigation on Different Kernel Functions for Weighted Kernel Regression in Solving Small Sample Problems. EMS 2011: 64-69 - [c4]Asrul Adam, Lim Chun Chew, Mohd Ibrahim Shapiai, Wen Jau Lee, Zuwairie Ibrahim, Marzuki Khalid:
A Hybrid Artificial Neural Network-Naive Bayes for solving imbalanced dataset problems in semiconductor manufacturing test process. HIS 2011: 133-138 - [c3]Mohd Ibrahim Shapiai, Zuwairie Ibrahim, Marzuki Khalid, Wen Jau Lee, Soon-Chuan Ong, Vladimir Pavlovic:
Recipe Generation from Small Samples: Incorporating an Improved Weighted Kernel Regression with Correlation Factor. ICSECS (1) 2011: 144-154 - 2010
- [c2]Mohd Ibrahim Shapiai, Zuwairie Ibrahim, Marzuki Khalid, Wen Jau Lee, Vladimir Pavlovic:
A Non-linear Function Approximation from Small Samples Based on Nadaraya-Watson Kernel Regression. CICSyN 2010: 28-32 - [c1]Asrul Adam, Mohd Ibrahim Shapiai, Zuwairie Ibrahim, Marzuki Khalid, Lim Chun Chew, Wen Jau Lee, Junzo Watada:
A Modified Artificial Neural Network Learning Algorithm for Imbalanced Data Set Problem. CICSyN 2010: 44-48
Coauthor Index
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last updated on 2024-10-07 22:05 CEST by the dblp team
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