Browse "College of Engineering(공과대학)" by Type Article
Showing results 14341 to 14400 of 62306
| Deconvolution of gamma-ray spectra obtained with NAI(Tl) detector in a water tank Kang, Bo-Sun; Rahman, M. Sohelur; Cho, Gyuseong, RADIATION PROTECTION DOSIMETRY, v.135, no.3, pp.203 - 210, 2009-07 |
| Decorated lattice model for closed-loop liquid-liquid equilibria and its applications to pyridine derivatives-water mixtures Kim, Y.-C.; Kim, Jong-Duk, KOREAN JOURNAL OF CHEMICAL ENGINEERING, v.3, no.2, pp.99 - 105, 1986-09 |
| Decorated UNIQUAC 모델에 의한 PEG 수용액의 고리형 상평형 계산 김종득; 이경옥; 반용병, 폴리머 (POLYMER), v.17, no.1, pp.20 - 31, 1993-01 |
| Decorrelated Debiased Converted Measurement Kalman Filter for Phased Array Radar Tracking System Cho, Min-Hyun; Tahk, Min-Jea, IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, v.58, no.1, pp.581 - 595, 2022-02 |
| Decoupled Control of a Disk-Type Rotor Equipped With a Three-Pole Hybrid Magnetic Bearing Park, Sang-Hyun; Lee, Chong-Won, IEEE-ASME TRANSACTIONS ON MECHATRONICS, v.15, no.5, pp.793 - 804, 2010-10 |
| Decoupled output voltage control of quantum series resonant converter for improved buck-boost operation Jo, BR; Ahn, HW; Moon, GunWoo; Choi, HC; Youn, Myung Joong, IEEE TRANSACTIONS ON POWER ELECTRONICS, v.11, no.1, pp.147 - 161, 1996-01 |
| Decoupled SSD: Reducing Data Movement on NAND-Based Flash SSD Kim, Jiho; Jung, Myoungsoo; Kim, John, IEEE COMPUTER ARCHITECTURE LETTERS, v.20, no.2, pp.150 - 153, 2021-07 |
| Decoupled Type의 초정밀 이중서보의 제어에 관한 연구 남병욱; 김기현; 최영만; 김정재; 이석원; 권대갑, 한국정밀공학회지, v.23, no.2, pp.43 - 50, 2006-02 |
| Decoupling Control of a Static VAR Compensator (SVC) With DC Side Voltage Regulation and Fast Dynamies Cho, Gyu-Hyeong, INTERNATIONAL JOURNAL OF ELECTRONICS, v.79, no.6, pp.933 - 950, 1995-01 |
| Decrease in Viscosity Caused by Agglomeration and Particle Dispersion in Cement-Fly Ash Suspensions Kim, Jae Hong; Jun, Yubin, TRANSPORTATION RESEARCH RECORD, v.2675, no.9, 2021-10 |
| Decreased cortical complexity in methamphetamine abusers Yun, Kyongsik; Park, Hee-Kwon; Kwon, Do-Hoon; Kim, Yang-Tae; Cho, Sung-Nam; Cho, Hyun-Jin; Peterson, Bradley S.; et al, PSYCHIATRY RESEARCH-NEUROIMAGING, v.201, no.3, pp.226 - 232, 2012-03 |
| Decreased frontal white-matter integrity in abstinent methamphetamine abusers Chung, Ain; Lyoo, In Kyoon; Kim, Seog Ju; Hwang, Jaeuk; Bae, Soojeong C.; Sung, Young Hoon; Sim, Minyoung E.; et al, INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY, v.10, no.6, pp.765 - 775, 2007-12 |
| Decreased functional connectivity in patients with alcoholism Ko, H; Jang, HR; Latchoumane, CFV; Chae, JH; Jeong, Jaeseung, ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, v.30, pp.80A - 80A, 2006-06 |
| Decrypting the boiling crisis through data-driven exploration of high-resolution infrared thermometry measurements Ravichandran, Madhumitha; Su, Guanyu; Wang, Chi; Seong, Jee Hyun; Kossolapov, Artyom; Phillips, Bren; Rahman, Md Mahamudur; et al, APPLIED PHYSICS LETTERS, v.118, no.25, 2021-06 |
| Dedensification During Sintering of BaTiO3 Caused by the Decomposition of Residual BaCO3 Yoon, Byung-Kwon; Chin, EY; Kang, Suk-Joong L, JOURNAL OF THE AMERICAN CERAMIC SOCIETY, v.91, pp.4121 - 4124, 2008-12 |
| Deep Abstraction and Weighted Feature Selection for Wi-Fi Impersonation Detection Aminanto, Muhamad Erza; Choi, Rakyong; Tanuwidjaja, Harry Chandra; Yoo, Paul D.; Kim, Kwangjo, IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, v.13, no.3, pp.621 - 636, 2018-03 |
| Deep ART Neural Model for Biologically Inspired Episodic Memory and Its Application to Task Performance of Robots Park, Gyeongmoon; Yoo, Yong Ho; Kim, Deok Hwa; Kim, Jong-Hwan, IEEE TRANSACTIONS ON CYBERNETICS, v.48, no.6, pp.1786 - 1799, 2018-06 |
| Deep Artificial Noise: Deep Learning-based Precoding Optimization for Artificial Noise Scheme Yun, Sangseok; Kang, Jae-Mo; Kim, Il-Min; Ha, Jeongseok, IEEE Transactions on Vehicular Technology, v.69, no.3, pp.3465 - 3469, 2020-03 |
| Deep Audio-visual Speech Recognition Afouras, Triantafyllos; Chung, Joon Son; Senior, Andrew; Vinyals, Oriol; Zisserman, Andrew, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.44, no.12, pp.8717 - 8727, 2022-12 |
| Deep CNNs Along the Time Axis With Intermap Pooling for Robustness to Spectral Variations Hwaran, Lee; Kim, Geonmin; Kim, Ho-Gyeong; Oh, Sang-Hoon; Lee, Soo-Young, IEEE SIGNAL PROCESSING LETTERS, v.23, no.10, pp.1310 - 1314, 2016-10 |
| Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network Kang, Eunhee; Chang, Won; Yoo, Jaejun; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.37, no.6, pp.1358 - 1369, 2018-06 |
| Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems Ye, Jong Chul; Han, Yoseob; Cha, Eunju, SIAM JOURNAL ON IMAGING SCIENCES, v.11, no.2, pp.991 - 1048, 2018-07 |
| Deep Convolutional Neural Network for Identifying Seam-Carving Forgery Nam, Seung-Hun; Ahn, Wonhyuk; Yu, In-Jae; Kwon, Myung-Joon; Son, Minseok; Lee, Heung-Kyu, IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v.31, no.8, pp.3308 - 3326, 2021-08 |
| Deep Convolutional Neural Network for Natural Image Matting Using Initial Alpha Mattes Cho, Donghyeon; Tai, Yu-Wing; Kweon, In So, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.28, no.3, pp.1054 - 1067, 2019-03 |
Deep convolutional neural networks for pan-specific peptide-MHC class I binding prediction Han, Youngmahn; Kim, Dongsup, BMC BIOINFORMATICS, v.18, 2017-12 |
| Deep Cooperative Sensing: Cooperative Spectrum Sensing Based on Convolutional Neural Networks Lee, Woongsup; Minhoe Kim; Cho, Dong-Ho, IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, v.68, no.3, pp.3005 - 3009, 2019-03 |
| Deep Depth from Uncalibrated Small Motion Clip Im, Sunghoon; Ha, Hyowon; Jeon, Hae-Gon; Lin, Stephen; Kweon, In So, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.43, no.4, pp.1225 - 1238, 2021-04 |
| Deep embedding kernel mixture networks for conditional anomaly detection in high-dimensional data Kim, Hyojoong; Kim, Heeyoung, INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, v.61, no.4, pp.1101 - 1113, 2023-03 |
| Deep eutectic solvents as attractive media for CO2 capture Trivedi, Tushar J.; Lee, Ji Hoon; Lee, Hyeon Jeong; Jeong, You Kyeong; Choi, Jang Wook, GREEN CHEMISTRY, v.18, no.9, pp.2834 - 2842, 2016 |
| Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion Yoo, ByungIn; Kwak, Youngjun; Kim, Youngsung; Choi, Changkyu; Kim, Junmo, IEEE SIGNAL PROCESSING LETTERS, v.25, no.6, pp.808 - 812, 2018-06 |
| Deep feature based efficient regularised ensemble for engagement recognition Park, YM; Lee, GM; Yang, Hyun-Seung, ELECTRONICS LETTERS, v.55, no.24, pp.1281 - 1282, 2019-11 |
| Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation Lee, Han Sang; Hong, Helen; Kim, Junmo; Jung, Dae Chul, MEDICAL PHYSICS, v.45, no.4, pp.1550 - 1561, 2018-04 |
| Deep focus light-field camera for handheld 3D intraoral scanning using crosstalk-free solid immersion microlens arrays Kwon, Jae-Myeong; Bae, Sang-In; Kim, Taehan; Kim, Jeong Kun; Jeong, Ki-Hun, APL BIOENGINEERING, v.7, no.3, 2023-09 |
| Deep Full-Body Motion Network (DFM-Net) for a Soft Wearable Motion Sensing Suit Kim, Dooyoung; Kwon, Junghan; Han, Seunghyun; Park, Yong-Lae; Jo, Sungho, IEEE-ASME TRANSACTIONS ON MECHATRONICS, v.24, no.1, pp.56 - 66, 2019-02 |
| Deep Gaussian process models for integrating multifidelity experiments with nonstationary relationships Ko, Jongwoo; Kim, Heeyoung, IISE TRANSACTIONS, v.54, no.7, pp.686 - 698, 2022-07 |
| Deep Gaussian Process-Based Bayesian Inference for Contaminant Source Localization Park, Young-Jin; Tagade, Piyush M.; Choi, Han-Lim, IEEE ACCESS, v.6, pp.49432 - 49449, 2018-10 |
| Deep Generative Design: Integration of Topology Optimization and Generative Models Oh, Sangeun; Jung, Yongsu; Kim, Seongsin; Lee, Ikjin; Kang, Namwoo, JOURNAL OF MECHANICAL DESIGN, v.141, no.11, 2019-11 |
| Deep Generative Models-Based Anomaly Detection for Spacecraft Control Systems Ahn, Hyojung; Jung, Dawoon; Choi, Han-Lim, SENSORS, v.20, no.7, 2020-04 |
| Deep Generative Tread Pattern Design Framework for Efficient Conceptual Design Lee, Mingyu; Park, Youngseo; Jo, Hwisang; Kim, Kibum; Lee, Seungkyu; Lee, Ikjin, JOURNAL OF MECHANICAL DESIGN, v.144, no.7, 2022-07 |
| Deep hybrid recommender systems via exploiting document context and statistics of items Kim, Donghyun; Park, Chanyoung; Oh, Jinoh; Yu, Hwanjo, INFORMATION SCIENCES, v.417, pp.72 - 87, 2017-11 |
| Deep introspective SLAM: deep reinforcement learning based approach to avoid tracking failure in visual SLAM Naveed, Kanwal; Anjum, Muhammad Latif; Hussain, Wajahat; Lee, Donghwan, AUTONOMOUS ROBOTS, v.46, no.6, pp.705 - 724, 2022-08 |
| Deep Iterative Frame Interpolation for Full-frame Video Stabilization Choi, Jinsoo; Kweon, In-So, ACM TRANSACTIONS ON GRAPHICS, v.39, no.1, 2020-02 |
| Deep learned finite elements Jung, Jaeho; Yoon, Kyungho; Lee, Phill-Seung, COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, v.372, 2020-12 |
| Deep learning acceleration of multiscale superresolution localization photoacoustic imaging Kim, Jongbeom; Kim, Gyuwon; Li, Lei; Zhang, Pengfei; Kim, Jin Young; Kim, Yeonggeun; Kim, Hyung Ham; et al, LIGHT-SCIENCE & APPLICATIONS, v.11, no.1, 2022-05 |
| Deep Learning Algorithm With Residual Blocks for Chemical Gas Concentration Estimation Jang, Hee-Deok; Park, Jae-Hyeon; Chang, Dong Eui; Seo, Hyun-Soo; Nam, Hyunwoo, Journal of Institute of Control, Robotics and Systems, v.29, no.7, pp.556 - 561, 2023-07 |
| Deep learning application to time-series prediction of daily chlorophyll-a concentration Cho, HyungMin; Choi, U-Jin; Park, Heekyung, WIT Transactions on Ecology and the Environment, v.215, pp.157 - 163, 2018-10 |
| Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study Kwon, Soonil; Hong, Joonki; Choi, Eue-Keun; Lee, Euijae; Hostallero, David Earl; Kang, Wan Ju; Lee, Byunghwan; et al, JMIR MHEALTH AND UHEALTH, v.7, no.6, 2019-06 |
| Deep learning based cough detection camera using enhanced features Lee, Gyeong-Tae; Nam, Hyeonuk; Kim, Seong-Hu; Choi, Sang-Min; Kim, Youngkey; Park, Yong-Hwa, EXPERT SYSTEMS WITH APPLICATIONS, v.206, 2022-11 |
| Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data Lee, Chanseok; Song, Gookho; Kim, Hyeonggeon; Ye, Jong Chul; Jang, Mooseok, NATURE MACHINE INTELLIGENCE, v.5, no.1, pp.35 - 45, 2023-01 |
| Deep Learning Based Pilot Allocation Scheme (DL-PAS) for 5G Massive MIMO System Kim, Kwihoon; Lee, Joohyung; Choi, Junkyun, IEEE COMMUNICATIONS LETTERS, v.22, no.4, pp.828 - 831, 2018-04 |
| Deep Learning Based Transmit Power Control in Underlaid Device-to-Device Communication Lee, Woong-Sup; Kim, Minhoe; Cho, Dong-Ho, IEEE SYSTEMS JOURNAL, v.13, no.3, pp.2551 - 2554, 2019-09 |
| Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets Oh, Yujin; Park, Sangjoon; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.39, no.8, pp.2688 - 2700, 2020-08 |
| Deep Learning Diffuse Optical Tomography Yoo, Jaejun; Sabir, Sohail; Heo, Duchang; Kim, Kee Hyun; Wahab, Abdul; Choi, Yoonseok; Lee, Seul-, I; et al, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.39, no.4, pp.877 - 887, 2020-04 |
| Deep learning enables accurate analysis of images generated from droplet-based digital polymerase chain reaction (dPCR) Song, Younseong; Lim, Seongjin; Kim, Yong Tae; Park, Yoo Min; Jo, Da Ae; Bae, Nam Ho; Lee, Seok Jae; et al, SENSORS AND ACTUATORS B-CHEMICAL, v.379, 2023-03 |
| Deep learning enables high-quality and high-throughput prediction of enzyme commission numbers Ryu, Jae Yong; Kim, Hyun Uk; Lee, Sang Yup, PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v.116, no.28, pp.13996 - 14001, 2019-07 |
| Deep learning enables reference-free isotropic super-resolution for volumetric fluorescence microscopy Park, Hyoungjun; Na, Myeongsu; Kim, Bumju; Park, Soohyun; Kim, Ki Hean; Chang, Sunghoe; Ye, Jong Chul, NATURE COMMUNICATIONS, v.13, no.1, 2022-06 |
| Deep Learning Enhances Multiparametric Dynamic Volumetric Photoacoustic Computed Tomography In Vivo (DL-PACT) Choi, Seongwook; Yang, Jinge; Lee, Soo Young; Kim, Jiwoong; Lee, Jihye; Kim, Won Jong; Lee, Seungchul; et al, ADVANCED SCIENCE, v.10, no.1, 2023-01 |
| Deep learning for determining a near-optimal topological design without any iteration Yu, Yonggyun; Hur, Taeil; Jung, Jaeho; Jang, In Gwun, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.59, no.3, pp.787 - 799, 2019-03 |
| Deep Learning for HDR Imaging: State-of-the-Art and Future Trends Wang, Lin; Yoon, Kuk-Jin, IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.44, no.12, pp.8874 - 8895, 2022-12 |
| Deep learning for lensless imaging Kim, Hyeonggeon; Song, Gookho; You, Jong-in; Lee, Chanseok; Jang, Mooseok, JOURNAL OF THE KOREAN PHYSICAL SOCIETY, v.81, no.6, pp.570 - 579, 2022-09 |
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