Browse "College of Engineering(공과대학)" by Subject Machine learning
Showing results 29 to 88 of 98
| Data Correction For Enhancing Classification Accuracy By Unknown Deep Neural Network Classifiers Kwon, Hyun; Yoon, Hyunsoo; Choi, Daeseon, KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, v.15, no.9, pp.3243 - 3257, 2021-09 |
| 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 metabolic pathway design Ryu, Gahyeon; Kim, Gi Bae; Yu, Taeho; Lee, Sang Yup, METABOLIC ENGINEERING, v.80, pp.130 - 141, 2023-11 |
| Deep learning untangles the resistance mechanism of p53 reactivator in lung cancer cells Lee, Soo Min; Han, Younghyun; Cho, Kwang-Hyun, ISCIENCE, v.26, no.12, 2023-12 |
| Design of periodic arched structures integrating the structural nonlinearity and band gap effect for vibration isolation On, Seung Yoon; Moon, Hyemi; Park, Seong Yeon; Ohm, Tae Woong; Kim, Wonvin; Kim, Seong Su, MATERIALS & DESIGN, v.224, 2022-12 |
| Development of machine learning model for automatic ELM-burst detection without hyperparameter adjustment in KSTAR tokamak Song, Jiheon; Joung, Semin; Ghim, Young-Chul; Hahn, Sang-hee; Jang, Juhyeok; Lee, Jungpyo, NUCLEAR ENGINEERING AND TECHNOLOGY, v.55, no.1, pp.100 - 108, 2023-01 |
| Disjoint multi-task learning between heterogeneous action and caption data = 이형의 행동인식과 캡션 데이터 간의 멀티태스크 학습 기법link Kim, Dong-Jin; Kweon, In So; et al, 한국과학기술원, 2017 |
| Distributed Off-Policy Temporal Difference Learning Using Primal-Dual Method Lee, Donghwan; Kim, Do Wan; Hu, Jianghai, IEEE ACCESS, v.10, pp.107077 - 107094, 2022-10 |
| Effect of realistically estimated building lifespan on life cycle assessment: A case study in Korea Ji, Sukwon; Lee, Bumho; Cho, Yesung; Yi, Mun Yong, JOURNAL OF BUILDING ENGINEERING, v.75, 2023-09 |
| Feasibility study on person identification utilizing frequency response functions of human fingers Yoo, Hyewon; Bae, Jae Woong; Jeong, Jae Hak; Park, Yong-Hwa, JOURNAL OF SOUND AND VIBRATION, v.568, 2024-01 |
| Full-range stress-strain curve estimation of aluminum alloys using machine learning-aided ultrasound Park, Seong-Hyun; Chung, Junyeon; Yi, Kiyoon; Sohn, Hoon; Jhang, Kyung-Young, ULTRASONICS, v.135, 2023-12 |
| Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning Ravishankar, Saiprasad; Ye, Jong Chul; Fessler, Jeffrey A., PROCEEDINGS OF THE IEEE, v.108, no.1, pp.86 - 109, 2020-01 |
| Inventory distribution considering Image-based fashion product variety = 이미지 기반의 패션 상품 다양성을 고려한 재고 배분 연구link Sim, Hyeonjun; Jang, Young Jae; et al, 한국과학기술원, 2018 |
| Investigation of neural network-based cathode potential monitoring to support nuclear safeguards of electrorefining in pyroprocessing Jung, Young-Eun; Ahn, Seong-Kyu; Yim, Man-Sung, NUCLEAR ENGINEERING AND TECHNOLOGY, v.54, no.2, pp.644 - 652, 2022-02 |
| Learning Analysis Strategies for Octagon and Context Sensitivity from Labeled Data Generated by Static Analyses Heo, Kihong; Oh, Hakjoo; Yang, Hongseok, FORMAL METHODS IN SYSTEM DESIGN, v.53, no.2, pp.189 - 220, 2018-10 |
| Learning Flexible and Fair Data Representations Usama, Muhammad; Chang, Dong Eui, IEEE ACCESS, v.10, pp.99235 - 99242, 2022-09 |
| Learning to Demodulate From Few Pilots via Offline and Online Meta-Learning Park, Sangwoo; Jang, Hyeryung; Simeone, Osvaldo; Kang, Joonhyuk, IEEE TRANSACTIONS ON SIGNAL PROCESSING, v.69, pp.226 - 239, 2021-01 |
| Machine learning assisted synthesis of lithium-ion batteries cathode materials Liow, Chi Hao; Kang, Hyeonmuk; Kim, Seunggu; Na, Moony; Lee, Yongju; Baucour, Arthur; Bang, Kihoon; et al, NANO ENERGY, v.98, 2022-07 |
| Machine learning based photovoltaic energy prediction scheme by augmentation of on-site IoT data Park, Jaeeun; Kim, Jangkyum; Lee, Sanghyun; Choi, Jun Kyun, FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v.134, pp.1 - 12, 2022-09 |
| Machine learning filters out efficient electrocatalysts in the massive ternary alloy space for fuel cells Park, Youngtae; Hwang, Chang-Kyu; Bang, Kihoon; Hong, Doosun; Nam, Hyobin; Kwon, Soonho; Yeo, Byung Chul; et al, APPLIED CATALYSIS B-ENVIRONMENTAL, v.339, 2023-12 |
| Machine learning-assisted optimization of TBBPA-bis-(2,3-dibromopropyl ether) extraction process from ABS polymer Wan, Yan; Zeng, Qiang; Shi, Pujiang; Yoon, Yong-Jin; Tay, Chor Yong; Lee, Jong-Min, CHEMOSPHERE, v.287, 2022-01 |
| Machine learning-based constitutive model for J2- plasticity Jang, DP; Fazily, Piemaan; Yoon, Jeong Whan, INTERNATIONAL JOURNAL OF PLASTICITY, v.138, pp.102919, 2021-03 |
| Machine learning-driven stress integration method for anisotropic plasticity in sheet metal forming Fazily, Piemaan; Yoon, Jeong Whan, INTERNATIONAL JOURNAL OF PLASTICITY, v.166, 2023-07 |
| Machine learning-enabled development of high performance gradient-index phononic crystals for energy focusing and harvesting Lee, Sangryun; Choi, Wonjae; Park, Jeong Won; Kim, Dae-Su; Nahm, Sahn; Jeon, Wonju; Gu, Grace X.; et al, NANO ENERGY, v.103, 2022-12 |
| Machine learning-enabled textile-based graphene gas sensing with energy harvesting-assisted IoT application Zhu, Jianxiong; Cho, Minkyu; Li, Yutao; He, Tianyiyi; Ahn, Junseong; Park, Jaeho; Ren, Tian-Ling; et al, NANO ENERGY, v.86, 2021-08 |
| Machine learning-guided evaluation of extraction and simulation methods for cancer patient-specific metabolic models Lee, Sang Mi; Lee, GaRyoung; Kim, Hyun Uk, COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, v.20, pp.3041 - 3052, 2022-06 |
| Machine learning: Overview of the recent progresses and implications for the process systems engineering field Lee, Jay Hyung; Shin, Joohyun; Realff, Matthew J., COMPUTERS & CHEMICAL ENGINEERING, v.114, pp.111 - 121, 2018-06 |
| Measuring prevalence of other-oriented transactive contributions using an automated measure of speech style accommodation Gweon, Gahgene; Jain, Mahaveer; McDonough, John; Raj, Bhiksha; Rose, Carolyn P., INTERNATIONAL JOURNAL OF COMPUTER-SUPPORTED COLLABORATIVE LEARNING, v.8, no.2, pp.245 - 265, 2013-06 |
| Observation-informed modeling of artificial neural networks to predict flow and bleeding of cement-based materials Kang, In Kuk; Shin, Tae Yong; Kim, Jae Hong, CONSTRUCTION AND BUILDING MATERIALS, v.409, 2023-12 |
| Optical Proximity Correction Using Bidirectional Recurrent Neural Network With Attention Mechanism Kwon, Yonghwi; Shin, Youngsoo, IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, v.34, no.2, pp.168 - 176, 2021-05 |
| Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks Jung, Jiyoung; Park, Kundo; Cho, Byungjin; Park, Jinkyoo; Ryu, Seunghwa, JOURNAL OF INTELLIGENT MANUFACTURING, v.34, no.8, pp.3623 - 3636, 2023-12 |
| PASS: Reducing Redundant Notifications between a Smartphone and a Smartwatch for Energy Saving Lee, Jemin; Lee, Uichin; Kim, Hyungshin, IEEE TRANSACTIONS ON MOBILE COMPUTING, v.19, no.11, pp.2656 - 2669, 2020-11 |
| Physics-Driven Machine Learning for Computational Imaging Wen, Bihan; Ravishankar, Saiprasad; Zhao, Zhizhen; Giryes, Raja; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.40, no.1, pp.28 - 30, 2023-01 |
| Physics-Driven Machine Learning for Computational Imaging: Part 2 Wen, Bihan; Ravishankar, Saiprasad; Zhao, Zhizhen; Giryes, Raja; Ye, Jong Chul, IEEE SIGNAL PROCESSING MAGAZINE, v.40, no.2, pp.13 - 15, 2023-03 |
| Powering performance analysis of full-scale ships under environmental disturbances Yoo, Byunghyun; Kim, Jinwhan, IFAC-PapersOnLine, v.50, no.1, pp.2323 - 2328, 2017-07 |
| Predicting the Absorption Potential of Chemical Compounds through a Deep Learning Approach Shin, Moonshik; Jang, Dongjin; Nam, Hojung; Lee, Kwang-Hyung; Lee, Doheon, IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, v.15, no.2, pp.432 - 440, 2018-03 |
| Prediction of galloping accidents in power lines using statistical analysis = 통계적 분석을 이용한 송전선의 갤로핑 사고 확률 예측link Lee, Junghoon; 이정훈; et al, 한국과학기술원, 2017 |
Prediction of the Emotion Responses to Poster Designs based on Graphical Features: A Machine learning-driven Approach Kim, Juhee; Suk, Hyeon-Jeong, Archives of Design Research, v.33, no.2, pp.39 - 55, 2020-05 |
| Privacy-Preserving Deep Learning on Machine Learning as a Service-a Comprehensive Survey Tanuwidjaja, Harry Chandra; Choi, Rakyong; Baek, Seunggeun; Kim, Kwangjo, IEEE ACCESS, v.8, pp.167425 - 167447, 2020-09 |
| Quantum Error Mitigation With Artificial Neural Network Kim, Changjun; Park, Kyungdeock Daniel; Rhee, June-Koo, IEEE ACCESS, v.8, pp.188853 - 188860, 2020-10 |
| Quantum-classical reinforcement learning for decoding noisy classical parity information Park, Daniel K.; Park, Jonghun; Rhee, June-Koo Kevin, QUANTUM MACHINE INTELLIGENCE, v.2, no.1, 2020-06 |
| Real-time estimation of 3D scene geometry from a single image Jung, Chan-Ho; Kim, Chang-Ick, PATTERN RECOGNITION, v.45, no.9, pp.3256 - 3269, 2012-09 |
| Secure wireless communication via adversarial machine learning: A Priori vs. A Posteriori Seo, Junghaa; Park, Sangwoo; Kang, Joonhyuk, ICT EXPRESS, v.8, no.2, pp.220 - 224, 2022-06 |
| Segmentation of experimental datasets via convolutional neural networks trained on phase field simulations Yeom, Jiwon; Stan, Tiberiu; Hong, Seungbum; Voorhees, Peter W., ACTA MATERIALIA, v.214, 2021-05 |
| Selective Untargeted Evasion Attack: An Adversarial Example That Will Not Be Classified as Certain Avoided Classes Kwon, Hyun; Kim, Yongchul; Yoon, Hyunsoo; Choi, Daeseon, IEEE ACCESS, v.7, pp.73493 - 73503, 2019-06 |
| Self-constructive multiple object detection and tracking in unstructured dynamic human environment = 비구조화된 동적 인간 환경에서의 자가구성 다수 물체 검출 및 추적link Koo, Seong-Yong; 구성용; et al, 한국과학기술원, 2014 |
| Semiconductor Multilayer Nanometrology with Machine Learning Kwak, Hyunsoo; Kim, Jungwon, Nanomanufacturing and Metrology, v.6, no.1, 2023-12 |
| Sensor data reconstruction using bidirectional recurrent neural network with application to bridge monitoring Jeong, Seongwoon; Ferguson, Max; Hou, Rui; Lynch, Jerome P.; Sohn, Hoon; Law, Kincho H., ADVANCED ENGINEERING INFORMATICS, v.42, 2019-10 |
| Small failure probability: principles, progress and perspectives Lee, Ikjin; Lee, Ungki; Ramu, Palaniappan; Yadav, Deepanshu; Bayrak, Gamze; Acar, Erdem, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.11, 2022-11 |
| Solar Power Prediction Based on Satellite Images and Support Vector Machine Jang, Han Seung; Bae, Kuk Yeol; Park, Hong-Shik; Sung, Dan Keun, IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, v.7, no.3, pp.1255 - 1263, 2016-07 |
| Spring-loaded inverted pendulum modeling improves neural network estimation of ground reaction forces Kim, Bumjoon; Lim, Hyerim; Park, Sukyung, JOURNAL OF BIOMECHANICS, v.113, 2020-12 |
| Structural optimization of an arch-structured epoxy/rubber composite vibration isolator using deep Q-value neural network reinforcement learning Hong, Hyunsoo; Jeong, Kwang Il; On, Seung Yoon; Kim, Wonvin; Kim, Seong Su, COMPOSITE STRUCTURES, v.323, 2023-11 |
| (The) hybrid modeling of machine learning approaches for intelligent quality system on large-scale of data = 대규모 데이터의 지능품질시스템을 위한 기계학습의 통합모형 구축link Kang, Boo-Sik; 강부식; et al, 한국과학기술원, 2000 |
| (The) noise robust voice activity detection = 잡음에 강건한 음성 검출기link Kim, Jun-Tae; 김준태; Lee, Hwang Soo; 이황수; et al, 한국과학기술원, 2016 |
| (The) study of large-scale digital tachograph analysis for machine learning-based aggressive driving behavior classification = 기계학습 기반 위험운전행동 분류를 위한 대규모 차량운행기록 분석 연구link Lee, Jooyoung; 이주영; et al, 한국과학기술원, 2016 |
| To pay or not to pay? Understanding public acceptance of congestion pricing: A case study of Nanjing Selmoune, Aya; Liu, Zhiyuan; Lee, Jinwoo, ELECTRONIC RESEARCH ARCHIVE, v.30, no.11, pp.4136 - 4156, 2022-01 |
| Transfer learning for enhancing the homogenization-theory-based prediction of elasto-plastic response of particle/short fiber-reinforced composites Jung, Jiyoung; Kim, Yongtae; Park, Jinkyoo; Ryu, Seunghwa, COMPOSITE STRUCTURES, v.285, 2022-04 |
| Unpaired Training of Deep Learning tMRA for Flexible Spatio-Temporal Resolution Cha, Eunju; Chung, Hyungjin; Kim, Eung Yeop; Ye, Jong Chul, IEEE TRANSACTIONS ON MEDICAL IMAGING, v.40, no.1, pp.166 - 179, 2021-01 |
| Unsupervised Denoising for Satellite Imagery Using Wavelet Directional CycleGAN Song, Joonyoung; Jeong, Jae-Heon; Park, Dae-Soon; Kim, Hyun-Ho; Seo, Doo-Chun; Ye, Jong Chul, IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v.59, no.8, pp.6823 - 6839, 2021-08 |
| Unsupervised View-Selective Deep Learning for Practical Indoor Localization Using CSI Han, Dong-Soo; Kim, Minseuk; Rhee, June-Koo Kevin, IEEE SENSORS JOURNAL, v.21, no.21, pp.24398 - 24408, 2021-11 |
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