Yuxuan Zhang
Orcid: 0000-0002-8617-0435Affiliations:
- Mid Sweden University, Department of Computer and Electrical Engineering, Sundsvall, Sweden
According to our database1,
Yuxuan Zhang authored at least 19 papers
between 2022 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
DDM-YOLO: A lightweight oriented detection model for mature daylily fruits in complex environments.
J. King Saud Univ. Comput. Inf. Sci., 2026
TinyLSN: A Lightweight Network for Real-Time Marine Pipeline Leakage Detection in IoT Systems.
IEEE Internet Things J., 2026
FDE: A Frequency-Domain Enhancement method for object detection in complex traffic scenes.
Comput. Vis. Image Underst., 2026
2025
On-Device Fault Diagnosis With Augmented Acoustic Emission Data: A Case Study on Carbon Fiber Panels.
IEEE Trans. Instrum. Meas., 2025
Proceedings of the 11th IEEE World Forum on Internet of Things, 2025
Proceedings of the IEEE Sensors Applications Symposium, 2025
Long short-term memory-optimized time difference mapping for enhanced acoustic emission source localization in composite materials.
Proceedings of the IEEE Sensors Applications Symposium, 2025
Proceedings of the IEEE Sensors Applications Symposium, 2025
Proceedings of the IEEE Sensors Applications Symposium, 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
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2025
2024
Sensors, July, 2024
Cervical Spondylosis Diagnosis Based on Convolutional Neural Network with X-ray Images.
Sensors, June, 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
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