Abdullah Y. Al-Maliki
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: Ministry of Oil (2021)
Unknown Researcher
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Abdullah Y. Al-Maliki, a researcher at the University of Arkansas at Little Rock, investigates human movement classification and estimation using advanced computational techniques. His work focuses on analyzing electromyography (sEMG) signals to classify hand and lower arm movements and estimate elbow joint movement. Al-Maliki utilizes artificial neural networks (ANNs) and machine learning algorithms, such as the Softmax classifier, often enhanced with filters like the Kalman filter, to improve classification accuracy.
His research contributes to the understanding of biomechanics and the development of assistive technologies. Al-Maliki has published seven papers, accumulating 38 citations, and holds an h-index of 3. He has collaborated with Kamran Iqbal at the University of Arkansas at Little Rock on three shared publications, indicating an active research network in the field.
Metrics
- h-index: 3
- Publications: 7
- Citations: 39
Selected Publications
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Estimation of Elbow Joint Movement Using ANN-Based Softmax Classifier (2024)
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Improved Classification Accuracy of Hand Movements Using Softmax Classifier and Kalman Filter (2022)
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Hand and Lower Arm Movements Classification Using Deep ANN and sEMG (2021)
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PID-Type FLC Controller Design and Tuning for Sensorless Speed Control of DC Motor (2018)
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Wind turbine transient response and fault ride-through improvements with optimal control (2017)
Collaboration Network
Top Collaborators
- Hand and Lower Arm Movements Classification Using Deep ANN and sEMG
- Improved Classification Accuracy of Hand Movements Using Softmax Classifier and Kalman Filter
- Estimation of Elbow Joint Movement Using ANN-Based Softmax Classifier
- Estimation of Elbow Joint Movement Using ANN-Based Softmax Classifier