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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 : 548
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Article
A 40-nm, 64-Kb, 56.67 TOPS/W Voltage-Sensing Computing-In-Memory/Digital RRAM Macro Supporting Iterative Write With Verification and Online Read-Disturb Detection
  • Yoon, Jong-Hyeok ; 
  • Chang, Muya ; 
  • Khwa, Win-San ; 
  • Chih, Yu-Der ; 
  • Chang, Meng-Fan ; 
  • Raychowdhury, Arijit
  • 2022-01
  • Yoon, Jong-Hyeok. (2022-01). A 40-nm, 64-Kb, 56.67 TOPS/W Voltage-Sensing Computing-In-Memory/Digital RRAM Macro Supporting Iterative Write With Verification and Online Read-Disturb Detection. IEEE Journal of Solid-State Circuits, 57(1), 68–79. doi: 10.1109/jssc.2021.3101209
  • Institute of Electrical and Electronics Engineers
  • View : 745
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Article
AI-enabled digital phenotyping for Alzheimer's disease: a review of multimodal sensor integration and symptom trajectories
  • Kim, Seung-Jae ; 
  • Kim, Mun-Ju ; 
  • Kim, Jun-Su ; 
  • Jang, Jaeho ; 
  • Choi, Wiha ; 
  • Lee, Hyun-Ju ; 
  • Song, Jeong-Heon ; 
  • Hoe, Hyang-Sook
  • 2026-03
  • ALZHEIMERS RESEARCH & THERAPY, v.18, no.1
  • BMC
  • View : 94
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Article
Elliptical Magnetic Nanoparticle Swarm Formation by an Artificial Neural Network-based Rotating Magnetic Field
  • Park, Jongwon ; 
  • Lee, Uijeong ; 
  • Hwang, Yunjae ; 
  • Lee, Dahye ; 
  • Abbasi, Sarmad Ahmad ; 
  • Choi, Hongsoo
  • 2025-06
  • Park, Jongwon. (2025-06). Elliptical Magnetic Nanoparticle Swarm Formation by an Artificial Neural Network-based Rotating Magnetic Field. IEEE Transactions on Automation Science and Engineering, 22, 16692–16703. doi: 10.1109/TASE.2025.3579309
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 309
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Article
Fast and Accurate Domain Adaptation for Irregular and Regular Tensor Decomposition
  • Kim, Junghun ; 
  • Park, Ka Hyun ; 
  • Jang, Jun-Gi ; 
  • Kang, U.
  • 2026-04
  • IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, v.38, no.4, pp.2249 - 2261
  • IEEE COMPUTER SOC
  • View : 77
  • Download : 0
Book
Glazed Panel Construction with Human-Robot Cooperation
  • 2011
  • Lee, Seungyeol. (2011). Glazed Panel Construction with Human-Robot Cooperation.
  • SpringerBriefs in Computer Science
  • View : 803
  • Download : 0

PAPRLE: Plug-And-Play Robotic Limb Environment: A Modular Ecosystem for Robotic Limbs

Article
PAPRLE: Plug-And-Play Robotic Limb Environment: A Modular Ecosystem for Robotic Limbs
  • Kwon, Obin ; 
  • Yamsani, Sankalp ; 
  • Myers, Noboru ; 
  • Taylor, Sean ; 
  • Hong, Jooyoung ; 
  • Park, Kyungseo ; 
  • Alspach, Alex ; 
  • Kim, Joohyung
  • 2026-01
  • IEEE Robotics & Automation Magazine, v.33, no.1, pp.63 - 73
  • Institute of Electrical and Electronics Engineers
  • View : 154
  • Download : 120
Book
PRedictive Intelligence in MEdicine: First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
  • Islem Rekik ; 
  • Gozde Unal ; 
  • Ehsan Adeli ; 
  • Sang Hyun Park
  • 2018
  • Islem Rekik. (2018). PRedictive Intelligence in MEdicine: First International Workshop, PRIME 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings.
  • Springer
  • View : 779
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Article
Smart data processing for energy harvesting systems using artificial intelligence
  • Divya, S. ; 
  • Panda, Swati ; 
  • Hajra, Sugato ; 
  • Jeyaraj, Rathinaraja ; 
  • Paul, Anand ; 
  • Park, Sang Hyun ; 
  • Kim, Hoe Joon ; 
  • Oh, Tae Hwan
  • 2023-02
  • Divya, S. (2023-02). Smart data processing for energy harvesting systems using artificial intelligence. Nano Energy, 106. doi: 10.1016/j.nanoen.2022.108084
  • Elsevier Ltd
  • View : 606
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