Showing results 16761 to 16780 of 51620
Enabling Visual Object Detection With Object Sounds via Visual Modality Recalling Memory Kim, Jung Uk; Ro, Yong Man, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, pp.1 - 13, 2023-10 |
Encapsulation of pentacene/C-60 organic solar cells with Al2O3 deposited by atomic layer deposition Potscavage, WJ; Yoo, Seunghyup; Domercq, B; Kippelen, B, APPLIED PHYSICS LETTERS, v.90, no.25, pp.113 - 119, 2007-06 |
Encapsulation of the micromachined air-suspended inductors Choi, Y.-S.; Yoon, E.; Yoon, Jun-Bo, IEEE MTT-S International Microwave Symposium Digest, 2003, v.3, pp.1637 - 1640, 2003-06-08 |
Encapsulation structure for transparent flexible organic electronic device 최경철; 권정현 |
Encode When Necessary: Correlated Network Coding Under Unreliable Wireless Links Wang, Shuai; Kim, Song Min; Yin, Zhimeng; He, Tian, ACM TRANSACTIONS ON SENSOR NETWORKS, v.13, no.1, 2017-02 |
Encoded Pilot Placement for LDPC Iterative Receiver Lee, Yong-Hoon; Kwon, H. M., IEEE VTC 2005, 2005 |
Encoded Pilots for Iterative Receiver Improvement Park, Dong-Jo, IEEE Vehicular Technology Conference, pp.1001 - 1004, 2005-09-01 |
Encoding and decoding apparatuses including CNN-based in-loop filter Kim, Munchurl |
Encoding and decoding methods and devices including CNN-based in-loop filter Kim, Munchurl |
ENCODING AND DECODING METHODS AND DEVICES INCLUDING CNN-BASED IN-LOOP FILTER 김문철 |
Encoding and identification of finite state machines via recurrent neural networks Won, S.H.; Song, Iickho; Lee, S.Y.; Lee, S.; Lee, Y.; Kim, K.Y., IASTED Int. Conf. Modelling, Simulation, pp.173 - 178, IASTED Int. Conf. Modelling, Simulation, 2010-07 |
Encoding convolutional neural networks for efficient hardware acceleration = 효율적인 하드웨어 가속을 위한 CNN 인코딩link Wi, Hyeonwook; Kim, Lee-Sup; et al, 한국과학기술원, 2020 |
Encoding features robust to unseen modes of variation with attentive long short-term memory Baddar, Wissam J.; Ro, Yong Man, PATTERN RECOGNITION, v.100, 2020-04 |
Encoding features robust to unseen modes of variations with attentive recurrent neural networks = 주의 깊은 회귀 신경망 네트워크를 이용한 처음 보는 변화에 강인한 특징 표현 연구link Baddar, Wissam J.; Ro, Yong Man; et al, 한국과학기술원, 2019 |
Encoding Spatial Relationship between Elements: Contour Segment Descriptor for Object Detection and Recognition (abstract only) Chang, W; Lee, Soo-Young, East-Asia Inter-University Workshop on Brain Engineering 2009, 2009-03-09 |
ENCODING, DECODING, AND MULTI-STAGE DECODING CIRCUITS FOR CONCATENATED BCH, AND ERROR CORRECTION CIRCUIT OF FLASH MEMORY DEVICE USING THE SAME Ha, Jeong-Seok; Cho, Sung-Gun, 2015-10-20 |
End-to-end bandwidth measurement method in GMPLS network Choi, K.; Choi, S.G.; Choi, JunKyun; Kwon, Y., The Joint International Conference on Optical Internet and Australian Conference on Optical Fibre Technology, COIN-ACOFT 2007, 2007-06-24 |
End-to-end delay guarantee scheme for BcN environment Choi, H.-W.; Lee, K.-M.; Park, Hong-Shik, The Joint International Conference on Optical Internet and Next Generation Network, COIN-NGNCON 2006, pp.42 - 44, 2006-07-09 |
End-to-End Delay Guaranteed Proportional Fair Scheduling for Wireless Networks Jeon, Jae-Han; Byun, Hee-Jung; Lim, Jong-Tae, IEEE COMMUNICATIONS LETTERS, v.15, no.4, pp.401 - 403, 2011-04 |
End-to-end design consideration of a radar altimeter for terrain-aided navigation Choi, Sanghyouk; Chun, Joohwan; Peak, Inchan; Park, Dongmin; Yoo, Kyungju, SAR Image Analysis, Modeling and Techniques, SPIE, 2013-09-23 |
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