Browse "College of Engineering(공과대학)" by Subject Machine learning
Showing results 1 to 60 of 98
| A comprehensive comparison of accuracy and practicality of different types of algorithms for pre-impact fall detection using both young and old adults Yu, Xiaoqun; Koo, Bummo; Jang, Jaehyuk; Kim, Youngho; Xiong, Shuping, MEASUREMENT, v.201, 2022-09 |
| A deep generative approach for crash frequency model with heterogeneous imbalanced data Ding, Hongliang; Lu, Yuhuan; Sze, N. N.; Chen, Tiantian; Guo, Yanyong; Lin, Qinghai, ANALYTIC METHODS IN ACCIDENT RESEARCH, v.34, 2022-06 |
| A hybrid approach of traffic simulation and machine learning techniques for enhancing real-time traffic prediction Kim, Yeeun; Tak, Hye-young; Kim, Sunghoon; Yeo, Hwasoo, TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, v.160, 2024-03 |
| A Machine Learning-Based Approach for the Prediction of Acute Coronary Syndrome Requiring Revascularization Noh, Yung-Kyun; Park, Ji Young; Choi, Byoung Geol; Kim, Kee-Eung; Rha, Seung-Woon, JOURNAL OF MEDICAL SYSTEMS, v.43, no.8, 2019-08 |
| A malicious web page detection using misuse and anomaly detection = 오용 탐지와 이상 탐지를 활용한 악성 웹페이지 탐지에 관한 연구link Yoo, Su-Yeon; 유수연; et al, 한국과학기술원, 2013 |
| A study on machine learning approaches for secure Internet services = 안전한 인터넷 서비스를 위한 기계 학습 기법에 관한 연구link Choi, Jae-Un; 최재운; et al, 한국과학기술원, 2013 |
| A survey of machine learning techniques in structural and multidisciplinary optimization Ramu, Palaniappan; Thananjayan, Pugazhenthi; Acar, Erdem; Bayrak, Gamze; Park, Jeong Woo; Lee, Ikjin, STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, v.65, no.9, 2022-09 |
| A Survey on Data Collection for Machine Learning: a Big Data - AI Integration Perspective Roh, Yuji; Heo, Geon; Whang, Steven Euijong, IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, v.33, no.4, pp.1328 - 1347, 2021-04 |
Acoustic-decoy: Detection of adversarial examples through audio modification on speech recognition system Kwon, Hyun; Yoon, Hyunsoo; Park, Ki-Woong, NEUROCOMPUTING, v.417, pp.357 - 370, 2020-12 |
| Adaptive and Compressive Beamforming Using Deep Learning for Medical Ultrasound Khan, Shujaat; Huh, Jaeyoung; Ye, Jong Chul, IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL, v.67, no.8, pp.1558 - 1572, 2020-08 |
| Ambiguous surface defect detection and classification of display module = 디스플레이 부품 류 표면의 불명확한 결함 검출 및 분류link Park, Yunwon; 박윤원; et al, 한국과학기술원, 2016 |
| An application of machine learning for material crack diagnosis using nonlinear ultrasonics Lee, Jun; Lee, Sang Eon; Jin, Suyeong; Sohn, Hoon; Hong, Jung-Wuk, MECHANICAL SYSTEMS AND SIGNAL PROCESSING, v.214, 2024-05 |
| An improved filtering method for malicious web content detection = 악성웹페이지 탐지를 위한 향상된 필터링 방법link Lee, Dong-Wook; 이동욱; et al, 한국과학기술원, 2012 |
| Analog neural network chip with learning capability and its applications = 학습 기능을 갖춘 아날로그 신경회로망 칩과 그 응용에 관한 연구link Cho, Jung-Wook; 조정욱; et al, 한국과학기술원, 1997 |
| Applications of machine learning in metal-organic frameworks Chong, Sanggyu; Lee, Sangwon; Kim, Baekjun; Kim, Jihan, COORDINATION CHEMISTRY REVIEWS, v.423, pp.213487, 2020-11 |
| Applying data mining tools for database marketing based on hotel data mart on the intranet = 호텔 critical database 구축을 통한 intranet에서의 호텔 data mart 구현과 database marketing에로의 활용 연구link Ha, Sung-Ho; 하성호; et al, 한국과학기술원, 1998 |
| Auto-detection of acoustic emission signals from cracking of concrete structures using convolutional neural networks: Upscaling from specimen Han, Gyeol; Kim, Yong-Min; Kim, Hyunwoo; Oh, Tae-Min; Song, Ki-Il; Kim, Ayoung; Kim, Youngchul; et al, EXPERT SYSTEMS WITH APPLICATIONS, v.186, 2021-12 |
| Automated detection of vulnerable plaque in intravascular ultrasound images Jun, Tae Joon; Kang, Soo-Jin; Lee, June-Goo; Kweon, Jihoon; Na, Wonjun; Kang, Daeyoun; Kim, Dohyeun; et al, MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, v.57, no.4, pp.863 - 876, 2019-04 |
| Automatic calibration of dynamic and heterogeneous parameters in agent-based models Kim, Dongjun; Yun, Tae-Sub; Moon, Il-Chul; Bae, Jang Won, AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, v.35, no.2, 2021-10 |
| Automatic Recognition of Children Engagement from Facial Video using Convolutional Neural Networks Yun, Woo-Han; Lee, Dongjin; Park, Chankyu; Kim, Jaehong; Kim, Junmo, IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, v.11, no.4, pp.696 - 707, 2020-10 |
| Blind Deblurring of Text Images Using a Text-Specific Hybrid Dictionary Lee, Hyukzae; Jung, Chanho; Kim, Changick, IEEE TRANSACTIONS ON IMAGE PROCESSING, v.29, no.1, pp.710 - 723, 2020-01 |
| Building life-span prediction for life cycle assessment and life cycle cost using machine learning: A big data approach Ji, Sukwon; Lee, Bumho; Yi, Mun Yong, BUILDING AND ENVIRONMENT, v.205, pp.108267, 2021-11 |
| Byzantine Fault Tolerant Distributed Stochastic Gradient Descent Based on Over-the-Air Computation Park, Sangjun; Choi, Wan, IEEE TRANSACTIONS ON COMMUNICATIONS, v.70, no.5, pp.3204 - 3219, 2022-05 |
| Classification Score Approach for Detecting Adversarial Example in Deep Neural Network Kwon, Hyun; Kim, Yongchul; Yoon, Hyunsoo; Choi, Daeseon, MULTIMEDIA TOOLS AND APPLICATIONS, v.80, no.7, pp.10339 - 10360, 2021-03 |
| Classifying issue reports according to feature descriptions in a user manual based on a deep learning model Cho, Heetae; Lee, Seonah; Kang, Sungwon, INFORMATION AND SOFTWARE TECHNOLOGY, v.142, 2022-02 |
| Comparing artificial and deep neural network models for prediction of coagulant amount and settled water turbidity: Lessons learned from big data in water treatment operations Lin, Subin; Kim, Jiwoong; Hua, Chuanbo; Kang, Seoktae; Park, Mi-Hyun, JOURNAL OF WATER PROCESS ENGINEERING, v.54, 2023-08 |
| ConvAE-Advanced: Adaptive Transmission Across Multiple Timeslots For Error Resilient Operation Ji, Dong Jin; Cho, Dong-Ho, IEEE COMMUNICATIONS LETTERS, v.24, no.9, pp.1976 - 1980, 2020-09 |
| Counterfactually Fair Automatic Speech Recognition Sari, Leda; Hasegawa-Johnson, Mark; Yoo, Chang-Dong, IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, v.29, pp.3515 - 3525, 2021-12 |
| 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 |
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