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PLI-Based Connectivity in Resting-EEG is a Robust and Generalizable Feature for Detecting MCI and AD: A Validation on a Diverse Multisite Clinical Dataset.

, , , , , , and . EMBC, page 1-6. IEEE, (2023)

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A 40-nm, 2M-Cell, 8b-Precision, Hybrid SLC-MLC PCM Computing-in-Memory Macro with 20.5 - 65.0TOPS/W for Tiny-Al Edge Devices., , , , , , , , , and . ISSCC, page 1-3. IEEE, (2022)Affective Computing Based on Morphological Features of Photoplethysmography for Patients with Hypertension., , , , , , , , and . Sensors, 22 (22): 8771 (2022)13.4 A 22nm 1Mb 1024b-Read and Near-Memory-Computing Dual-Mode STT-MRAM Macro with 42.6GB/s Read Bandwidth for Security-Aware Mobile Devices., , , , , , , , , and 2 other author(s). ISSCC, page 224-226. IEEE, (2020)PLI-Based Connectivity in Resting-EEG is a Robust and Generalizable Feature for Detecting MCI and AD: A Validation on a Diverse Multisite Clinical Dataset., , , , , , and . EMBC, page 1-6. IEEE, (2023)A 1Mb Multibit ReRAM Computing-In-Memory Macro with 14.6ns Parallel MAC Computing Time for CNN Based AI Edge Processors., , , , , , , , , and 12 other author(s). ISSCC, page 388-390. IEEE, (2019)15.9 A 16nm 16Mb Embedded STT-MRAM with a 20ns Write Time, a 1012 Write Endurance and Integrated Margin-Expansion Schemes., , , , , , , , , and 16 other author(s). ISSCC, page 292-294. IEEE, (2024)