Mohammad A. S. Bhuiyan
Orcid: 0000-0003-0772-0556Affiliations:
- Xiamen University Malaysia, Sepang, Malaysia
According to our database1,
Mohammad A. S. Bhuiyan
authored at least 18 papers
between 2013 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
CoRR, 2024
Optimisation and Performance Computation of a Phase Frequency Detector Module for IoT Devices.
CoRR, 2024
2023
Optimizing electrode positions on forearm to increase SNR and myoelectric pattern recognition performance.
Eng. Appl. Artif. Intell., 2023
A Study on 28 GHz Power Amplifiers for Industrial Revolution 4.0 Compatible 5G NR FR2 IoT Transceivers.
Proceedings of the IEEE International Conference on Cybernetics and Intelligent Systems, 2023
Design Study of a Frequency Divider Using Injection Locking Technique for RF Communication Transceiver.
Proceedings of the IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2023
Mitigation of Greenhouse Emissions from Transportation Systems Through Modelling and Data.
Proceedings of the 6th International Conference on Electronics, 2023
2022
IEEE Trans. Instrum. Meas., 2022
Evaluating Performance of Machine Learning Models for Diabetic Sensorimotor Polyneuropathy Severity Classification using Biomechanical Signals during Gait.
CoRR, 2022
Forearm Orientation and Muscle Force Invariant Feature Selection Method for Myoelectric Pattern Recognition.
IEEE Access, 2022
Proceedings of the ICIGP 2022: The 5th International Conference on Image and Graphics Processing, Beijing, China, January 7, 2022
2021
Machine Learning-Based Epileptic Seizure Detection Methods Using Wavelet and EMD-Based Decomposition Techniques: A Review.
Sensors, 2021
An 8.72 µW Low-Noise and Wide Bandwidth FEE Design for High-Throughput Pixel-Strip (PS) Sensors.
Sensors, 2021
A low-offset low-power and high-speed dynamic latch comparator with a preamplifier-enhanced stage.
IET Circuits Devices Syst., 2021
A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations.
Comput. Biol. Medicine, 2021
A Novel Signal Normalization Approach to Improve the Force Invariant Myoelectric Pattern Recognition of Transradial Amputees.
IEEE Access, 2021
2020
Proceedings of the 2nd IEEE International Conference on Artificial Intelligence in Engineering and Technology, 2020
2013
Proceedings of the 2013 IEEE International Conference on RFID-Technologies and Applications, 2013