Showing results 5181 to 5200 of 10937
Natural inducement of hydrogen from food waste by temperature control Kim, DH; Wu, JY; Jeong, KW; Kim, MS; Shin, Hang-Sik, INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, v.36, no.17, pp.10666 - 10673, 2011-08 |
NAVIBox: Real-Time Vehicle-Pedestrian Risk Prediction System in an Edge Vision Environment Lee, Hyejin; Cho, Haechan; Noh, Byeongjoon; Yeo, Hwasoo, ELECTRONICS, v.12, no.20, 2023-10 |
NDE of Surface Crack in Concrete Using Neural Network with Principal Component Analysis Yun, Chung Bang, In the Proceedings of the 3rd International Workshop on Advanced Smart Materials and Smart Structure, v.0, no.0, pp.0 - 0, ANCRiSST, 2006-05-01 |
Necessary Conditions for Nonlinear Ultrasonic Modulation Generation Given a Localized Fatigue Crack in a Plate-Like Structure![]() Lim, Hyung Jin; Sohn, Hoon, MATERIALS, v.10, no.3, 2017-03 |
Needs and Options of Korea for Integrated Water Management Park, Heekyung, JOURNAL OF WATER SUPPLY RESEARCH AND TECHNOLOGY-AQUA, v.47, no.2, pp.57 - 67, 1998-01 |
Network formulation and stability improvement of a bilateral teleoperation system with admittance-type master interfaces Nabeel, Muhammad; Ryu, Jee-Hwan; Jafari, Aghil, 2015 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), pp.1731 - 1736, Institute of Electrical and Electronics Engineers Inc., 2015-07-07 |
Network representation and passivity of delayed teleoperation systems Artigas, Jordi; Ryu, Jee-Hwan; Preusche, Carsten; Hirzinger, Gerd, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.177 - 183, IEEE Robotics and Automation Society (RAS), 2011-09-25 |
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 |
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