| 56161 | Deep X-ray Lithography using Mask with Integrated Electrostatic and Electrothermal Actuators Lee, Seung Seob, 5th Int. Workshop on High-Aspect-Ratio Micro-Structure Technology (HARMST’03), 2012 |
| 56162 | Deep X-ray lithography using mask with integrated electrothermal actuator Lee, KC; Lee, Seung Seob, MICROSYSTEM TECHNOLOGIES-MICRO-AND NANOSYSTEMS-INFORMATION STORAGE AND PROCESSING SYSTEMS, v.11, no.4-5, pp.358 - 364, 2005-04 |
| 56163 | Deep X-ray Mask Embedded in Electrostatic Actuator for 3-D LIGA Process Lee, KC; Lee, SG; Moon, SJ; Lee, Seung Seob, 32nd Int. Sym. on Robotics, pp.1969 - 1972, 2001 |
| 56164 | Deep X-ray Mask Embedded in Electrostatic Actuator for 3-D LIGAProcess 이광철; 이성근; 문상준; 이승섭, 1st Intelligent Microsystem, pp.180 - 183, 2001 |
| 56165 | Deep X-ray mask with Integrated Actuator for 3D LIGA Process Lee, KC; Lee, Seung Seob, ASME Int. Mech. Eng. Con. & Expo, 2002 |
| 56166 | Deep X-ray mask with integrated actuator for 3D microfabrication Lee, KC; Lee, Seung Seob, SENSORS AND ACTUATORS A-PHYSICAL, v.108, no.1-3, pp.121 - 127, 2003-11 |
| 56167 | Deep X-ray mask with integrated electro-thermal micro xy-stage for 3D fabrication Lee, KC; Lee, Seung Seob, SENSORS AND ACTUATORS A-PHYSICAL, v.111, no.1, pp.37 - 43, 2004 |
| 56168 | Deep X-ray 경사공정을 이용한 초소형 삼면 반사체 제작 오동영; 이승섭; 정동관, 제 2회 MEMS 학술대회, pp.185 - 190, 대한기계학회, 2000 |
| 56169 | Deep X-ray를 이용한 마이크로 렌즈의 제작 이성근; 이광철; 이승섭, 제4회 Korea MEMS 학술대회, 2002 |
| 56170 | Deep-Injection Floating-Catalyst Chemical Vapor Deposition for Continuous Synthesis of Carbon Nanotubes with High Aspect Ratio 박지홍; 전석우, 제 28회 한국반도체학술대회, 한국반도체학술대회, 2021-01-25 |
| 56171 | Deep-Injection Floating-Catalyst Chemical Vapor Deposition for Continuous Synthesis of Carbon Nanotubes with High Yield, High Crystallinity and High Aspect Ratio 박지홍; 전석우, 2021 한국세라믹학회 춘계학술대회, 한국세라믹학회, 2021-06-16 |
| 56172 | Deep-injection floating-catalyst chemical vapor deposition to continuously synthesize carbon nanotubes with high aspect ratio and high crystallinity Lee, Sung-Hyun; Park, Junbeom; Park, Ji Hong; Lee, Dong-Myeong; Lee, Anna; Moon, Sook Young; Lee, Sei Young; et al, CARBON, v.173, pp.901 - 909, 2021-03 |
| 56173 | Deep-learning based spatio-temporal generative model on assessing state-of-health for Li-ion batteries with partially-cycled profiles Park, Seojoung; Lee, Hyunjun; Scott-Nevros, Zoe K. K.; Lim, Dongjun; Seo, Dong-Hwa; Choi, Yunseok; Lim, Hankwon; et al, MATERIALS HORIZONS, v.10, no.4, 2023-04 |
| 56174 | Deep-learning driven exploration of automotive exterior design attributes = 딥러닝 기반 자동차 외장 디자인 요소 탐색link Lee, Gyunpyo; Suk, Hyeon-Jeong; et al, 한국과학기술원, 2022 |
| 56175 | Deep-Learning for Breaking the Trapping Sets in Low-Density Parity-Check Codes Han, Seokju; Oh, Jieun; Oh, Kyungmok; Ha, Jeongseok, IEEE TRANSACTIONS ON COMMUNICATIONS, v.70, no.5, pp.2909 - 2923, 2022-05 |
| 56176 | Deep-learning- and reinforcement-learning-based profitable strategy of a grid-level energy storage system for the smart grid Han, Gwangwoo; Lee, Sanghun; Lee, Jaemyung; Lee, Kangyong; Bae, Joongmyeon, JOURNAL OF ENERGY STORAGE, v.41, 2021-09 |
| 56177 | Deep-Learning-Based Deconvolution of Mechanical Stimuli with Ti3C2Tx MXene Electromagnetic Shield Architecture via Dual-Mode Wireless Signal Variation Mechanism Lee, Gun-Hee; Lee, Gang San; Byun, Junyoung; Yang, Jun Chang; Jang, Chorom; Kim, Seongrak; Kim, Hyeonji; et al, ACS NANO, v.14, no.9, pp.11962 - 11972, 2020-09 |
| 56178 | Deep-learning-based gas identification by time-variant illumination of a single micro-LED-embedded gas sensor Cho, Incheol; Lee, Kichul; Sim, Young Chul; Jeong, Jaeseok; Cho, Minkyu; Jung, Heechan; Kang, Mingu; et al, LIGHT-SCIENCE & APPLICATIONS, v.12, no.1, 2023-04 |
| 56179 | Deep-Learning-Based Label-Free Segmentation of Cell Nuclei in Time-Lapse Refractive Index Tomograms Lee, Jimin; Kim, Hyejin; Cho, Hyungjoo; Jo, Youngju; Song, Yujin; Ahn, Daewoong; Lee, Kangwon; et al, IEEE ACCESS, v.7, pp.83449 - 83460, 2019-07 |
| 56180 | Deep-learning-based object recognition system and gridmap-based path planning algorithm for object tracking of swarm robots = 군집 로봇의 물체 추적을 위한 딥 러닝 기반 객체 인식 시스템 및 격자 공간 기반 경로 계획 알고리즘link Kim, Hanguen; 김한근; et al, 한국과학기술원, 2016 |
