Muhammad Zeeshan Arshad

Orcid: 0000-0003-4397-270X

According to our database1, Muhammad Zeeshan Arshad authored at least 11 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
View-independent gait events detection using CNN-transformer hybrid network.
J. Biomed. Informatics, November, 2023

Deep Learning-Based Gait Event Prediction through a Single Waist-worn Wearable Sensor.
Proceedings of the IEEE International Conference on Consumer Electronics, 2023

2022
Gait Events Prediction Using Hybrid CNN-RNN-Based Deep Learning Models through a Single Waist-Worn Wearable Sensor.
Sensors, 2022

Deep Learning Networks for View-independent Knee and Elbow Joint Angle Estimation.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Structure-from-Sherds: Incremental 3D Reassembly of Axially Symmetric Pots from Unordered and Mixed Fragment Collections.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Personal Identification Using Gait Spectrograms and Deep Convolutional Neural Networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Gait-based Frailty Assessment using Image Representation of IMU Signals and Deep CNN.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Gait-based Human Identification through Minimum Gait-phases and Sensors.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
3D Pots Configuration System by Optimizing over Geometric Constraints.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2014
Fault Detection in the Semiconductor Etch Process Using the Seasonal Autoregressive Integrated Moving Average Modeling.
J. Inf. Process. Syst., 2014

2013
Time Series Fault Prediction in Semiconductor Equipment Using Recurrent Neural Network.
Proceedings of the Advances in Neural Networks - ISNN 2013, 2013


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