Showing results 1 to 8 of 8
- 2023
- Jeongyoon Wie. (2023). An Energy-Efficient Wide-Supply-Range Stimulation System in Standard CMOS Process. doi: 10.22677/THESIS.200000656806
- DGIST
- View : 156
- Download : 0
- 2025
- Sangwoo Jung. (2025). An Energy-scalable and Low-power Inference Hardware for Deep Learning. doi: 10.22677/THESIS.200000844622
- DGIST
- View : 178
- Download : 0
- 2024
- Eunki Song. (2024). Area-Efficient High-Speed ADCs For Wireline Data Communications. doi: 10.22677/THESIS.200000803503
- DGIST
- View : 251
- Download : 0
- 2023
- Jeik Choi. (2023). Dynamic Precision Control of a DNN Training Accelerator Using RISC-V Processor. doi: 10.22677/THESIS.200000655606
- DGIST
- View : 424
- Download : 0
- 2024
- Yunseong Shim. (2024). Equalizer Adaptation Utilizing Data Pattern-Based BBPD. doi: 10.22677/THESIS.200000728627
- DGIST
- View : 84
- Download : 0
- 2025
- Sangwoo Hwang. (2025). Hardware-Software Co-design Methodology for Highly-Efficient Operation of Spiking Neural Networks. doi: 10.22677/THESIS.200000841867
- DGIST
- View : 238
- Download : 0
- 2024
- Seonho Gong. (2024). High-Speed ADC Design for Wireline Receiver. doi: 10.22677/THESIS.200000725814
- DGIST
- View : 82
- Download : 0
- 2024
- Taeryoung Seol. (2024). Low Power Recording Systems for Bioelectrical Signal Acquisition. doi: 10.22677/THESIS.200000726078
- DGIST
- View : 136
- Download : 0
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