Yuxuan Zhang

Orcid: 0000-0002-8617-0435

Affiliations:
  • Mid Sweden University, Department of Computer and Electrical Engineering, Sundsvall, Sweden


According to our database1, Yuxuan Zhang authored at least 14 papers between 2022 and 2025.

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

Timeline

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Bibliography

2025
Adaptive Noise Resilient Keyword Spotting Using One-Shot Learning.
CoRR, May, 2025

On-Device Crack Segmentation for Edge Structural Health Monitoring.
CoRR, May, 2025

Efficient Continual Learning in Keyword Spotting using Binary Neural Networks.
CoRR, May, 2025

On-Device Fault Diagnosis With Augmented Acoustic Emission Data: A Case Study on Carbon Fiber Panels.
IEEE Trans. Instrum. Meas., 2025

An On-Device Hybrid Machine Learning Approach for Anomaly Detection in Conveyor Belt Operations.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

Survey of Quantization Techniques for On-Device Vision-based Crack Detection.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025

2024
Tiny-Machine-Learning-Based Supply Canal Surface Condition Monitoring.
Sensors, July, 2024

Cervical Spondylosis Diagnosis Based on Convolutional Neural Network with X-ray Images.
Sensors, June, 2024

On-device Anomaly Detection in Conveyor Belt Operations.
CoRR, 2024

Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis.
Proceedings of the 10th IEEE World Forum on Internet of Things, 2024

2023
Leveraging Acoustic Emission and Machine Learning for Concrete Materials Damage Classification on Embedded Devices.
IEEE Trans. Instrum. Meas., 2023

Tiny Machine Learning for Real-Time Postural Stability Analysis.
Proceedings of the IEEE Sensors Applications Symposium, 2023

Tiny Machine Learning for Damage Classification in Concrete Using Acoustic Emission Signals.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2023

2022
A Lightweight Convolutional Neural Network Model for Concrete Damage Classification using Acoustic Emissions.
Proceedings of the IEEE Sensors Applications Symposium, 2022


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