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Documents publiés en "2023"

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Nombre de documents: 7

Département de génie électrique

Fang, C., Wang, C., Zhao, S., Tian, F., Yang, J., & Sawan, M. (2023). A 510 μW 0.738-mm² 6.2-pJ/SOP Online Learning Multi-Topology SNN Processor With Unified Computation Engine in 40-nm CMOS. IEEE Transactions on Biomedical Circuits and Systems, 17(3), 507-520. Lien externe

Tian, F., Yang, J., Zhao, S., & Sawan, M. (2023). NeuroCARE: A generic neuromorphic edge computing framework for healthcare applications. Frontiers in Neuroscience, 17, 1093865 (14 pages). Lien externe

Tian, F., Zhao, S., He, J., Chen, J., Wang, X., Yang, J., Sawan, M., Tsui, C.-Y., & Cheng, K.-T. T. (octobre 2023). NOLS: A Near-sensor On-chip Learning System with Direct Feedback Alignment for Personalized Wearable Heart Health Monitoring [Communication écrite]. Biomedical Circuits and Systems Conference (BioCAS 2023), Toronto, ON, Canada (5 pages). Lien externe

Wang, J., Zhao, S., Fang, C., Yang, J., & Sawan, M. (juin 2023). Live Demonstration: Real-time Analyses of Biosignals based on a Dedicated CMOS Configurable Deep Learning Engine [Communication écrite]. 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS 2023), Hangzhou, China (2 pages). Lien externe

Wang, J., Zhao, S., Yang, J., & Sawan, M. (octobre 2023). An Event-driven Neural Signal Processor for Closed-loop Seizure Prediction [Communication écrite]. Biomedical Circuits and Systems Conference (BioCAS 2023), Toronto, ON, Canada (5 pages). Lien externe

Wu, D., Zhao, S., Yang, J., & Sawan, M. (2023). Software-Hardware Co-Design for Energy-Efficient Continuous Health Monitoring via Task-Aware Compression. IEEE Transactions on Biomedical Circuits and Systems, 17(2), 180-191. Lien externe

Zhao, S., Yang, J., Wang, J., Fang, C., Liu, T., Zhang, S., & Sawan, M. (2023). A 0.99-to-4.38 uJ/class Event-Driven Hybrid Neural Network Processor for Full-Spectrum Neural Signal Analyses. IEEE Transactions on Biomedical Circuits and Systems, 17(3), 598-609. Lien externe

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