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Muhammad Zeeshan Arshad

Gait Events Prediction Using Hybrid CNN-RNN-Based Deep Learning Models through a Single Waist-Worn Wearable Sensor
2022 · Muhammad Zeeshan Arshad, Ankhzaya Jamsrandorj, et al. · Sensors · 60
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Gait-based Frailty Assessment using Image Representation of IMU Signals and Deep CNN
2021 · Muhammad Zeeshan Arshad, Dawoon Jung, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 29
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Fault Diagnosis in Semiconductor Etch Equipment Using Bayesian Networks
2014 · Javeria Muhammad Nawaz, Muhammad Zeeshan Arshad, et al. · JSTS Journal of Semiconductor Technology and Science · 22
View-independent gait events detection using CNN-transformer hybrid network
2023 · Ankhzaya Jamsrandorj, Dawoon Jung, et al. · Journal of Biomedical Informatics · 11
Deep Learning Networks for View-independent Knee and Elbow Joint Angle Estimation
2022 · Ankhzaya Jamsrandorj, Konki Sravan Kumar, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 7
In-Situ Detection Method of Abnormal Plasma Discharge in Plasma-Assisted Deposition Processes
2018 · Muhammad Zeeshan Arshad, Sang Jeen Hong · Transactions on Electrical and Electronic Materials · 7
Deep Learning-Based Gait Event Prediction through a Single Waist-worn Wearable Sensor
2023 · Muhammad Zeeshan Arshad, Daehyun Lee, et al. · International Conference on Consumer Electronics · 4
Optical in situ monitoring of plasma-enhanced atomic layer deposition process
2018 · Muhammad Zeeshan Arshad, Kyung Jae Jo, et al. · Japanese Journal of Applied Physics · 4
Fault Detection in the Semiconductor Etch Process Using the Seasonal Autoregressive Integrated Moving Average Modeling
2014 · Muhammad Zeeshan Arshad, Javeria Muhammad Nawaz, et al. · Journal of Information Processing Systems · 4
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A novel heuristic approach to detect induced forming defects using point cloud scans
2024 · Muhammad Shahrukh Saeed, Sheharyar Faisal, et al. · Proceedings of the Design Society · 3
Gait-based Human Identification through Minimum Gait-phases and Sensors
2021 · Muhammad Zeeshan Arshad, Dawoon Jung, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 3
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Deep Learning Networks for View-Independent Gait Events Detection
2022 · Ankhzaya Jamsrandorj, Dawoon Jung, et al. · SSRN Electronic Journal · 2
Analysis of Optical Plasma Monitoring in Plasma-Enhanced Atomic Layer Deposition Process of Al2O3
2018 · Muhammad Zeeshan Arshad, Hyun Woo Tak, et al. · Journal of Nanoscience and Nanotechnology · 2
Time Series Fault Prediction in Semiconductor Equipment Using Recurrent Neural Network
2013 · Javeria Muhammad Nawaz, Muhammad Zeeshan Arshad, et al. · Lecture notes in computer science · 2
Enhancing ML Model Generalizability for Locomotion Mode Recognition in Prosthetic Gait
2025 · Muhammad Zeeshan Arshad, Aliaa Gouda, et al. · IEEE Sensors Journal · 1
3D Pots Configuration System by Optimizing over Geometric Constraints
2021 · Jae Eun Kim, Muhammad Zeeshan Arshad, et al. · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 1
Investigating compensatory adjustments induced by rhythmic auditory stimulation for changes in temporal gait symmetry in lower-limb prosthetic users
2026 · Aliaa Gouda, Muhammad Zeeshan Arshad, et al. · PLoS ONE
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Clinical Evaluation of APRI as a Non-Invasive Screening Tool for Liver Fibrosis and Cirrhosis in Faisalabad, Punjab, Pakistan
2026 · Muhammad Zeeshan Arshad, Faizan Rasool, et al. · Pakistan Journal of Medical & Cardiological Review
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Deep Learning Networks for View-Independent Gait Events Detection
2022 · Ankhzaya Jamsrandorj, Dawoon Jung, et al. · SSRN Electronic Journal
Recurrent Neural Network Modeling of Etch Tool Data
2012 · Javeria Nawaz, Muhammad Zeeshan Arshad, et al. · 한국진공학회 학술발표회초록집
Process Fault Probability Generation via ARIMA Time Series Modeling of Etch Tool Data
2012 · Muhammad Zeeshan Arshad, Javeria Nawaz, et al. · 한국진공학회 학술발표회초록집
Works count: 21
Citation count: 162
H-index: 6
I10-index: 4
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