DGIST Library Repository

Browsing by Titles

All A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
전체 가 나 다 라 마 바 사 아 자 차 카 타 파 하

Showing results 1 to 9 of 9

Article
A 40-nm 118.44-TOPS/W Voltage-Sensing Compute-in-Memory RRAM Macro With Write Verification and Multi-Bit Encoding
  • Yoon, Jong-Hyeok ; 
  • Chang, Muya ; 
  • Khwa, Win-San ; 
  • Chih, Yu-Der ; 
  • Chang, Meng-Fan ; 
  • Raychowdhury, Arijit
  • 2022-03
  • Yoon, Jong-Hyeok. (2022-03). A 40-nm 118.44-TOPS/W Voltage-Sensing Compute-in-Memory RRAM Macro With Write Verification and Multi-Bit Encoding. IEEE Journal of Solid-State Circuits, 57(3), 845–857. doi: 10.1109/JSSC.2022.3141370
  • Institute of Electrical and Electronics Engineers
  • View : 320
  • Download : 0
Article
Artificial and convolutional neural networks for assessing functional connectivity in resting-state functional near infrared spectroscopy
  • Behboodi, Bahareh ; 
  • Lim, Sung-Ho ; 
  • Acevedo, Miguel Andres Luna ; 
  • Jeon, Hyeon-Ae ; 
  • Choi, Ji-Woong
  • 2019-06
  • Behboodi, Bahareh. (2019-06). Artificial and convolutional neural networks for assessing functional connectivity in resting-state functional near infrared spectroscopy. doi: 10.1177/0967033519836623
  • SAGE Publications Ltd
  • View : 690
  • Download : 0
Article
Classification of human body motions using an ultra-wideband pulse radar
  • 2022-01
  • Cho, Hui-Sup. (2022-01). Classification of human body motions using an ultra-wideband pulse radar. doi: 10.3233/THC-212827
  • IOS Press
  • View : 359
  • Download : 0

Convolutional Neural Network for Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface

Thesis
Convolutional Neural Network for Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface
  • Thanawin, Trakoolwilaiwan
  • 2017
  • Thanawin, Trakoolwilaiwan. (2017). Convolutional Neural Network for Functional Near-Infrared Spectroscopy-Based Brain-Computer Interface. doi: 10.22677/thesis.2377910
  • DGIST
  • View : 950
  • Download : 293
Article
Convolutional neural network for high-accuracy functional near-infrared spectroscopy in a brain-computer interface: Three-class classification of rest, right-, and left-hand motor execution
  • Trakoolwilaiwan, Thanawin ; 
  • Behboodi, Bahareh ; 
  • Lee, Jae Seok ; 
  • Kim, Kyung Soo ; 
  • Choi, Ji Woong
  • 2018-01
  • Trakoolwilaiwan, Thanawin. (2018-01). Convolutional neural network for high-accuracy functional near-infrared spectroscopy in a brain-computer interface: Three-class classification of rest, right-, and left-hand motor execution. Neurophotonics, 5(1). doi: 10.1117/1.NPh.5.1.011008
  • SPIE
  • View : 693
  • Download : 0
Article
Deep Block Transform for Autoencoders
  • Jin, Kyong Hwan
  • 2021-05
  • Jin, Kyong Hwan. (2021-05). Deep Block Transform for Autoencoders. IEEE Signal Processing Letters, 28, 1016–1019. doi: 10.1109/LSP.2021.3082031
  • Institute of Electrical and Electronics Engineers
  • View : 606
  • Download : 0
Article
Design and Analysis of Approximate Compressors for Balanced Error Accumulation in MAC Operator
  • 2021-07
  • Park, Gunho. (2021-07). Design and Analysis of Approximate Compressors for Balanced Error Accumulation in MAC Operator. IEEE Transactions on Circuits and Systems I: Regular Papers, 68(7), 2950–2961. doi: 10.1109/TCSI.2021.3073177
  • Institute of Electrical and Electronics Engineers
  • View : 715
  • Download : 0
Article
TENAS: Using Taylor Expansion and Channel-level Skip Connection for Neural Architecture Search
  • Lim, Heechul ; 
  • Kim, Min-Soo
  • 2022-08
  • Lim, Heechul. (2022-08). TENAS: Using Taylor Expansion and Channel-level Skip Connection for Neural Architecture Search. IEEE Access, 10, 84790–84798. doi: 10.1109/ACCESS.2022.3195208
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 351
  • Download : 0
Article
Through-Wall Remote Human Voice Recognition Using Doppler Radar With Transfer Learning
  • 2019-06
  • Khanna, Rohan. (2019-06). Through-Wall Remote Human Voice Recognition Using Doppler Radar With Transfer Learning. doi: 10.1109/JSEN.2019.2901271
  • Institute of Electrical and Electronics Engineers
  • View : 923
  • Download : 0
1