Showing results 5181 to 5200 of 10920
Network-Wide Vehicle Trajectory Prediction in Urban Traffic Networks using Deep Learning Choi, Seongjin; Yeo, Hwasoo; Kim, Jiwon, TRANSPORTATION RESEARCH RECORD, v.2672, no.45, pp.173 - 184, 2018-12 |
Neural network application overview in prediction of properties of cement-based mortar and concrete Lee, Nam-Kon; Souri, Hamid; Lee, Haeng-Ki, The 2013 World Congress on Advances in Civil, Environmental, & Materials Reaserch (ACEM14), The 2013 World Congress on Advances in Civil, Environmental, & Materials Reaserch (ACEM14), 2014-08-26 |
Neural network approach for damaged area location prediction of a composite plate using electromechanical impedance technique Na, S.; Lee, Haeng-Ki, COMPOSITES SCIENCE AND TECHNOLOGY, v.88, pp.62 - 68, 2013-11 |
Neural Network Approach to Damage Assessment of Civil Structures Yun, Chung Bang, 1998 Structural Engineers World Congress, 1998-07-01 |
Neural Network-based Autonomous Frequency Range Selection for Structural Health Monitoring Using Wireless Impedance Sensor Nodes Min, Jiyoung; Park, Seunghee; Yun, Chung-Bang; Song, Byunghun, The Proceedings of the Int’l Conference on Computational Design in Engineering (CODE), 2009-11 |
Neural Network-Based Damage Detection for Bridges Considering Errors in Baseline Finite Element Models Yun, Chung Bang, KKN Student Seminar, v.0, no.0, pp.0 - 0, KKN, 2004-02-01 |
Neural Network-Based Long-Term Place Recognition from Omni-Images Lee, Jongwon; Kim, Ayoung, 16th International Conference on Ubiquitous Robots (UR), pp.189 - 193, IEEE, 2019-06-25 |
Neural network-based structural vibration control system = 신경망 기반 구조물의 진동제어 시스템link Lee, Heon-Jae; 이헌재; et al, 한국과학기술원, 2007 |
Neural Networks-Based Damage Detection for Bridges Considering Errors in Baseline Finite Element Model Yun, Chung Bang, Int'l Conf. on Bridge Maintenance, Safety, and Management, v.0, no.0, pp.0 - 0, BMSM, 2004-01-01 |
Neural Networks-Based Damage Detection for Bridges Considering Errors in Baseline Finite Element Model Yun, Chung Bang; Lee, JJ, The 1st Int'l WS on Advanced Smart Materials and Smart Structures Technology, v.0, no.0, pp.0 - 0, ASMSST, 2004-01-01 |
Neural networks-based damage detection for bridges considering errors in baseline finite element models Yun, Chung Bang; Lee, JJ; Lee, JW; Kim, JD, CE2003, pp.0 - 0, CE2003, 2003-08-01 |
Neural networks-based damage detection for bridges considering errors in baseline finite element models Yun, Chung Bang; Lee, JJ, Korea-Japan Seminar on Steel Bridges, pp.0 - 0, 2003-08-01 |
Neural networks-based damage detection for bridges considering errors in baseline finite element models Lee, JJ; Lee, JW; Yi, JH; Yun, Chung Bang; Jung, HY, JOURNAL OF SOUND AND VIBRATION, v.280, no.3-5, pp.555 - 578, 2005-02 |
Neural networks-based damage detection for bridges for bridges considering errors in baseline finite element models Yun, Chung Bang, CE2003, v.0, no.0, pp.0 - 0, CE2003, 2003-08-01 |
Neural Networks-Based Damage Detection for Bridges Using Ambient Vibration Data due to Ordinary Traffic Loadings Yun, Chung Bang, Pacific Structural Steel Conf., v.0, no.0, pp.0 - 0, PSSC, 2004-03-01 |
Neural networks-based damage detection of bridge deck systems on vibration data Yun, Chung Bang, 2nd International Symposium on Steel Structures, v.0, no.0, pp.214 - 219, ISSS, 2002-11-01 |
Neuro-Control for Response Reduction Using a Semi-Active MR Damper Jung, Hyung-Jo; Lee, In Won; Lee, H.J.; Lee, J.H., The Second China-Japan-Korea Symposium on Optimization of Structural and Mechanical Systems(CJK-OSM 2), 2002 |
Neutron shielding and low-activation characteristics of borated concretes = 붕소 혼입 콘크리트의 중성자차폐성능 및 저방사화 특성에 관한 연구link Park, Su-Jin; 박수진; et al, 한국과학기술원, 2013 |
New Approach to Quantifying Rock Joint Roughness based on Roughness Mobilization Characteristics Hong, Eun-Soo; Lee, In-Mo; Cho, Gye-Chun; Lee, Seok-Won, KSCE JOURNAL OF CIVIL ENGINEERING, v.18, no.4, pp.984 - 991, 2014-05 |
New Design Method for PSC Girder with Incremental Prestress Kim, Jin-Keun, 2nd Internateional conference on Computational Methods for Smart Structrues and Materials, 2001 |
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