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Documents publiés en "2025"

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Nombre de documents: 7

C

Chen, F., Cao, L., Wu, D., Zhang, E., Wang, T., Jiang, X., Chen, J., Wu, H., Lin, S., Hou, Q., Zhu, J., Yang, J., Sawan, M., & Zhang, Y. (2025). Acoustic inspired brain-to-sentence decoder for logosyllabic language. Cyborg and Bionic Systems, 0257 (35 pages). Lien externe

E

Eskandari, R., Katebi, M., Wu, H., Tan, Z., Mao, Y., Faezipour, M., Abdollah Mirbozorgi, S., & Sawan, M. (mai 2025). Implantable Closed-loop Neuromodulation Platform Dedicated to Diabetes Diagnosis and Treatment [Communication écrite]. IEEE International Symposium on Circuits and Systems (ISCAS 2025), London, United Kingdom. Lien externe

L

Liu, X., Chen, J., Wu, H., Zou, W., Yang, J., & Sawan, M. (2025). An On-Chip Reconfigurable Front-end for Ultra-Low-Power RF Energy Harvesting. IEEE Transactions on Circuits & Systems II Express Briefs, 5 pages. Lien externe

T

Tarkhan, M., Wu, H., Ullah, F., & Sawan, M. (2025). A Flexible High-Accuracy Memristor Model Using Varactors. IEEE Access, 13, 217423 (14 pages). Lien externe

Tian, F., Chen, J., Shao, K., Liu, Z., Zheng, J., Wu, H., Fang, C., Wang, X., Shen, Z., Dong, P., Yao, Y., Wang, X., Yang, J., Sawan, M., Tsui, C.-Y., & Cheng, K.-T. (avril 2025). E-NPU: A 34~126nJ/Class Event-Driven Adaptive Neural SoC with Signal-Dynamics-Aware Feature Clustering and Multi-Model In-Memory Inference/Training for Personalized Medical Wearables [Communication écrite]. IEEE Custom Integrated Circuits Conference (CICC 2025), Boston, MA, USA. Lien externe

W

Wu, H., Tan, Z., Liu, X., Chen, J., Zou, W., Hou, Q., Lin, S., Mao, Y., Kuang, X., Yang, J., & Sawan, M. (mai 2025). Efficient Self-Adaptive Pseudo-Resistor with Rapid Settling and High Linearity for Neurorecording Front-End Circuits [Communication écrite]. IEEE International Symposium on Circuits and Systems (ISCAS 2025), London, United Kingdom. Lien externe

Wu, H., Tan, Z., Liu, X., Chen, J., Zou, W., Hou, Q., Liu, S., Mao, Y., Kuang, X., Yang, J., & Sawan, M. (2025). Self-Adaptive Pseudo-Resistors Enabling Millisecond-Level Artifact Recovery and High-Linearity for Neural Recording Front-Ends. IEEE Transactions on Biomedical Circuits and Systems, PP, 12 pages. Lien externe

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