A Resource-Efficient Algorithm-Hardware Co-Design Towards Semi-Supervised Neurological Symptoms Prediction

Shiqi Zhao, Shanjin Li, Di Wu, Fengshi Tian, Jie Yang and Mohamad Sawan

Article (2025)

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Department:	Department of Electrical Engineering
PolyPublie URL:	https://publications.polymtl.ca/66070/
Journal Title:	IEEE Transactions on Instrumentation and Measurement (vol. 74)
Publisher:	Institute of Electrical and Electronics Engineers
DOI:	10.1109/tim.2025.3572999
Official URL:	https://doi.org/10.1109/tim.2025.3572999
Date Deposited:	09 Jun 2025 17:11
Last Modified:	09 Jun 2025 17:12

Cite in APA 7:	Zhao, S., Li, S., Wu, D., Tian, F., Yang, J., & Sawan, M. (2025). A Resource-Efficient Algorithm-Hardware Co-Design Towards Semi-Supervised Neurological Symptoms Prediction. IEEE Transactions on Instrumentation and Measurement, 74, 12 pages. https://doi.org/10.1109/tim.2025.3572999
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