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Showing items 1-8 of 8 (1 Page(s) Totally)
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| 國立交通大學 |
2020-10-05T02:02:24Z |
A SOC Design of ORICA-based Highly Effective Real-time Multi-channel EEG System
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Ho, Yun-Lung; Huang, Yu-De; Wang, Kai-Yen; Fang, Wai-Chi |
| 國立交通大學 |
2020-10-05T02:02:22Z |
A SOC Design of ORICA-based Highly Effective Real-time Multi-channel EEG System
|
Huang, Yu-De; Wang, Kai-Yen; Fang, Wai-Chi; Ho, Yun-Lung |
| 國立交通大學 |
2020-05-05T00:01:59Z |
An Edge AI System-on-Chip Design with Customized Convolutional-Neural-Network Architecture for Real-time EEG-Based Affective Computing System
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Huang, Yu-De; He, Chang-Yuan; Ho, Yun-Lung; Wang, Kai-Yen; Fang, Wai-Chi |
| 國立交通大學 |
2020-02-02T23:54:39Z |
Development and Validation of an EEG-Based Real-Time Emotion Recognition System Using Edge AI Computing Platform With Convolutional Neural Network System-on-Chip Design
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Fang, Wai-Chi; Wang, Kai-Yen; Fahier, Nicolas; Ho, Yun-Lung; Huang, Yu-De |
| 國立交通大學 |
2019-12-13T01:12:51Z |
A Customized Convolutional Neural Network Design Using Improved Softmax Layer for Real-time Human Emotion Recognition
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Wang, Kai-Yen; Huang, Yu-De; Ho, Yun-Lung; Fang, Wai-Chi |
| 國立交通大學 |
2019-12-13T01:12:51Z |
Design of Intelligent EEG System for Human Emotion Recognition with Convolutional Neural Network
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Wang, Kai-Yen; Ho, Yun-Lung; Huang, Yu-De; Fang, Wai-Chi |
| 國立交通大學 |
2019-06-03T01:09:15Z |
A 16 Channel Real-Time EEG Processing Based on ORICA Algorithm using 28nm CMOS Technology
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Wang, Kai-Yen; Ho, Yun-Lung; Huang, Yu-De; Fang, Wai-Chi |
| 國立臺灣大學 |
2011 |
豬糞尿廢水產氫之研究
|
黃育德; Huang, Yu-De |
Showing items 1-8 of 8 (1 Page(s) Totally)
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