Showing results 32821 to 32840 of 276512
Artificial learning and evolving brain for robots : synaptic plasticity models for hebbian learning and reinforcement learning = 진화/학습이 가능한 인공 로봇 두뇌 개발 : 헤비안 및 강화 학습을 위한 시냅스 가소성 모델link Lee, Kyoo-bin; 이규빈; et al, 한국과학기술원, 2008 |
Artificial magnetic nanostructures: isolated metal/insylator/metal nanodot arrays with transmission geometry Vo, TS; 박병국; 정종율, 한국자기학회 하계 학술대회, 한국자기학회, 2015-05-30 |
Artificial multimodal receptors based on ion relaxation dynamics You, Insang; Mackanic, David G.; Matsuhisa, Naoji; Kang, Jiheong; Kwon, Jimin; Beker, Levent; Mun, Jaewan; et al, SCIENCE, v.370, no.6519, pp.961 - 961, 2020-11 |
Artificial Multisensory Neuron with a Single Transistor for Multimodal Perception through Hybrid Visual and Thermal Sensing Han, Joon-Kyu; Yun, Seong-Yun; Yu, Jiman; Jeon, Seung-Bae; Choi, Yang-Kyu, ACS APPLIED MATERIALS & INTERFACES, v.15, no.4, pp.5449 - 5455, 2023-02 |
Artificial ncRNAs Leading to Resistance to Cinnamaldehyde in Escherichia coli KIM, WONKYONG; Lee, Younghoon, International Meeting of the Microbiological Society of Korea, 한국미생물학회, 2017-04-28 |
Artificial neural network based approach for dynamic parameter design Jung, Jae-Ryung; Yum, Bong-Jin, EXPERT SYSTEMS WITH APPLICATIONS, v.38, pp.504 - 510, 2011-01 |
Artificial neural network based macromodeling approach for two-port RF MEMS resonating structures Lee, Yongjae; Park, Yonghwa; Niu, Feng; Filipovic, Dejan, 2005 IEEE Networking, Sensing and Control, ICNSC2005, pp.261 - 266, Institute of Electrical and Electronics Engineers (IEEE), 2005-03 |
Artificial Neural Network Does Better Spatiotemporal Compressive Sampling Lee, Soo-Young; Hsu, Charles; Szu, Harold, 2012 Defense Security+Sensing, Defense Security+Sensing, 2012-04 |
Artificial neural network for Slice Encoding for Metal Artifact Correction (SEMAC) MRI Seo, Sunghun; Do, Won-Joon; Luu, Huan Minh; Kim, Ki Hwan; Choi, Seung Hong; Park, Sung-Hong, MAGNETIC RESONANCE IN MEDICINE, v.84, no.1, pp.263 - 276, 2020-07 |
Artificial Neural Network for Suppression of Banding Artifacts in Balanced Steady-State Free Precession MRI Kim, Ki Hwan; Park, Sung-Hong, International Society for Magnetic Resonance in Medicine 2017, pp.3982, International Society for Magnetic Resonance in Medicine, 2017-04-25 |
Artificial neural network for suppression of banding artifacts in balanced steady-state free precession MRI Kim, Ki Hwan; Park, Sung-Hong, MAGNETIC RESONANCE IMAGING, v.37, pp.139 - 146, 2017-04 |
Artificial Neural Network for Suppression of Metal Artifacts with Slice Encoding for Metal Artifact Correction (SEMAC) MRI Seo, Sunghun; Kim, Ki Hwan; Choi, Seung Hong; Park, Sung-Hong, International Society for Magnetic Resonance in Medicine 2018, pp.3385, International Society for Magnetic Resonance in Medicine, 2018-06-18 |
Artificial neural network for suppression of metal artifacts with slice encoding for metal artifact correction (SEMAC) MRI = 인공신경망과 슬라이스 인코딩 기법을 이용한 자기 공명 영상 내의 금속 왜곡 현상 완화link Seo, Sunghun; Park, Sung-Hong; et al, 한국과학기술원, 2018 |
Artificial neural network for the configuration problem in solids Ji, Hyunjun; Jung, Yousung, JOURNAL OF CHEMICAL PHYSICS, v.146, no.6, 2017-02 |
Artificial Neural Network Learns Clinical Assessment of Spasticity in Modified Ashworth Scale![]() Park, Jeong-Ho; Kim, Yushin; Lee, Kwang-Jae; Yoon, Yong-Soon; Kang, Si Hyun; Kim, Heesang; Park, Hyung-Soon, ARCHIVES OF PHYSICAL MEDICINE AND REHABILITATION, v.100, no.10, pp.1907 - 1915, 2019-10 |
Artificial neural network modeling for 2-group pin-wise group constants Yu, HwanYeal; Ur Rehman, Haseeb; Kim, Yonghee, Transactions of the American Nuclear Society, ANS 2017, pp.1107 - 1110, American Nuclear Society, 2017-06 |
Artificial neural network modeling of RIF MEMS resonators Lee, Yongjae; Park, Yong-Hwa; Niu, Feng; Bachman, Bonnie; Gupta, Kuldip C; Filipović, Dejan Sokol, INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING, v.14, no.4, pp.302 - 316, 2004-07 |
Artificial neural network-based FCS-MPC for three-level inverters Yang, Xinliang; Wang, Kun; Kim, Jongseok; Park, Ki-Bum, JOURNAL OF POWER ELECTRONICS, v.22, no.12, pp.2158 - 2165, 2022-12 |
Artificial Neural Networks for Sturctural Vibration Control Lee, In Won, The First International Conference on Advances in Structural Engineering and Mechanics, pp.303 - 308, 1999 |
Artificial neural networks in manufacturing processes : monitoring and control Cho, Hyungsuck, Symposium on Information Control in Manufacturing, 1998 |
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