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2020 – today
- 2021
[c5]Kodai Yamada, Hiroyuki Mori:
A Deep Learning Technique for Electricity Price Forecasting in Consideration of Spikes. TENCON 2021: 744-749- 2020
- [j1]Kentaro Kojima, Kodai Yamada, Jun Furuta, Kazutoshi Kobayashi:
Evaluation of Heavy-Ion-Induced Single Event Upset Cross Sections of a 65-nm Thin BOX FD-SOI Flip-Flops Composed of Stacked Inverters. IEICE Trans. Electron. 103-C(4): 144-152 (2020)
2010 – 2019
- 2019
- [c4]Mitsunori Ebara, Kodai Yamada, Jun Furuta, Kazutoshi Kobayashi:
Comparison of Radiation Hardness of Stacked Transmission-Gate Flip Flop and Stacked Tristate-Inverter Flip Flop in a 65 nm Thin BOX FDSOI Process. IOLTS 2019: 1-6 - [c3]Jun Furuta, Yuto Tsukita, Kodai Yamada, Mitsunori Ebara, Kentaro Kojima, Kazutoshi Kobayashi:
Impact of Combinational Logic Delay for Single Event Upset on Flip Flops in a 65 nm FDSOI Process. IRPS 2019: 1-4 - [c2]Kentaro Kojima, Kodai Yamada, Jun Furuta, Kazutoshi Kobayashi:
An Accurate Device-Level Simulation Method to Estimate Cross Sections of Single Event Upsets by Silicon Thickness in Raised Layer. IRPS 2019: 1-5 - 2018
- [c1]Kodai Yamada, Haruki Maruoka, Jun Furuta, Kazutoshi Kobayashi:
Sensitivity to soft errors of NMOS and PMOS transistors evaluated by latches with stacking structures in a 65 nm FDSOI process. IRPS 2018: 3-1
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