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한글제목 : [SW등록]소프트렌즈 비전검사 인공지능 학습용 프로그램
영문제목 : [SW등록]소프트렌즈 비전검사 인공지능 학습용 프로그램
저널정보 : sw등록   2023 년  1 권  1 호  1  ~  1
논문구분 : SW등록
메인저자 : 김성훈
서브저자 : -
키워드 : -
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사사 :
한글제목 : [SW등록] 소프트렌즈 불량탐지 AI딥러닝 비전검사 프로그램
영문제목 : [SW등록] 소프트렌즈 불량탐지 AI딥러닝 비전검사 프로그램
저널정보 : sw등록   2023 년  1 권  1 호  1  ~  1
논문구분 : SW등록
메인저자 : 김성훈
서브저자 : -
키워드 : -
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사사 :
한글제목 : [SW등록]소프트렌즈 불량분류 모델용 annotation 프로그램
영문제목 : [SW등록]소프트렌즈 불량분류 모델용 annotation 프로그램
저널정보 : sw등록   2023 년  1 권  1 호  1  ~  1
논문구분 : SW등록
메인저자 : 김성훈
서브저자 : -
키워드 : -
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사사 : Grand ICT 연구센터(충북대)
한글제목 : [SW등록]Process Contral Block 실시간 데이터 gathering 프로그램
영문제목 : [SW등록]Process Contral Block 실시간 데이터 gathering 프로그램
저널정보 : sw등록   2023 년  1 권  1 호  1  ~  1
논문구분 : SW등록
메인저자 : 주인
서브저자 : -
키워드 : -
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사사 : Grand ICT 연구센터(충북대)
한글제목 : SOIF-DN: Preserving Small Object Information Flow With Improved Deep Learn...
영문제목 : SOIF-DN: Preserving Small Object Information Flow With Improved Deep Learn...
저널정보 : IEEE Access   2023 년  11 권  1 호  1  ~  15
논문구분 : SCI(E)
메인저자 : IN JOO
서브저자 : SUNGHOON KIM, GINAM KIM, KWAN-HEE YOO
키워드 : Defect detection, feature fusion, feature pyramid, printed circuit board (PCB), small object detection, small object information flow (SOIF-DN), deep learning
Defect detection, feature fusion, feature pyramid, printed circuit board (PCB), small object detection, small object information flow (SOIF-DN), deep learning
사사 : This work was supported in part by the Ministry of Science and Information Communication Technology (MSIT), South Korea, through the Grand Information Technology Research Center Support Program, Supervised by the Institute for Information and Communications Technology Planning and Evaluation (IITP), under Grant IITP-2023-2020-0-01462.
한글제목 : 머신러닝을 사용한 읍·면 지역 중학생의 고등학교 진학 예측
영문제목 : Middle School Students in Rural Area Using Machine Learning High School Graduati...
저널정보 : 한국콘텐츠학회   2023 년  23 권  10 호  423  ~  433
논문구분 : 국내전문학술지
메인저자 : 주성종
서브저자 : 김성훈, 류관희
키워드 : 읍·면 단위 중학생들의 특성 데이터, 머신러닝, 고등학교 진학 예측, 정확도
The Characteristic Data of Middle School Students in Eup and Myeon Units, Machine Learning, Predict Students Entrance into High School, Accuracy∣
사사 : 본 연구는 과학기술정보통신부 및 정보통신기획평가원의 지역지능화혁신인재양성(Grand ICT연구센터) 사업의 연구결과로 수 행되었음” (IITP-2023-2020-0-01462)
한글제목 : SCE-LSTM: Sparse Critical Event-Driven LSTM Model with Selective Memorization f...
영문제목 : SCE-LSTM: Sparse Critical Event-Driven LSTM Model with Selective Memorization f...
저널정보 : agriculture   2023 년  13 권  2044 호  1  ~  22
논문구분 : SCI(E)
메인저자 : Ga-Ae Ryu
서브저자 : Tserenpurev Chuluunsaikhan, Aziz Nasridinov, HyungChul Rah and Kwan-Hee Yoo
키워드 : sparse critical event-driven LSTM (SCE-LSTM); forecasting; pork consumption; unstructured big data
sparse critical event-driven LSTM (SCE-LSTM); forecasting; pork consumption; unstructured big data
사사 : This work has been supported by the MSIT (Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program (IITP-2023-2020-0-01462) su- pervised by the IITP (Institute for Information & communications Technology Planning & Evalua- tion), and the Basic Science Research Program of the National Research Foundation of Korea (NRF) funded by the Ministry of Education (Grant number:2020R1I1A1A01071884).
한글제목 : Material-centric-strategies of ML and DL for packages programability of develope...
영문제목 : Material-centric-strategies of ML and DL for packages programability of develope...
저널정보 : European Materials Research Society   2023 년  1 권  1 호  1  ~  1
논문구분 : 국외학술대회발표논문집
메인저자 : 김성훈
서브저자 : 류관희
키워드 : packaging method
packaging method
사사 : This work was supported by Korea Institute for Advancement of Technology (KIAT) grant funded by the Korea Government (MOTIE) (No. P0022332, Digital data platform for material development)
한글제목 : A versatile strategy for hybridizing small experimental and large simulation da...
영문제목 : A versatile strategy for hybridizing small experimental and large simulation da...
저널정보 : ELSEVIER   2023 년  234 권  1 호  1  ~  12
논문구분 : SCI(E)
메인저자 : Jeong-Hun Kim, Hyunseok Ko
서브저자 : Dong-Hun Yeo. Zeehoon Park, Upendra Kumar, Kwan-Hee Yoo, Aziz Nasridinov, Sung Beom Cho
키워드 : Machine learning Simulation Data deficiency Inverse design Tape-casting
Machine learning Simulation Data deficiency Inverse design Tape-casting
사사 : We acknowledge the support from Ministry of Trade, Industry & Energy (20004367) and National Research Foundation (RS-2023- 00209910). This research was also supported by the MSIT(Ministry of Science and ICT), Korea, under the Grand Information Technology Research Center support program(IITP-2023-2020-0-01462) supervised by the IITP(Institute for Information & communications Technology Planning & Evaluation). The computations were carried out using re- sources from Korea Supercomputing Center (KSC-2022-CRE-0348).
한글제목 : The Smart Factory with Variable System Design
영문제목 : The Smart Factory with Variable System Design
저널정보 : BIGDAS2023   2023 년  11 권  1 호  85  ~  91
논문구분 : 국외학술대회발표논문집
메인저자 : Chae-Hyun Lee
서브저자 : Sung-Jin Im, Ja-Yeon Heo, Jin-Soo Kim and Kwan-Hee Yoo
키워드 : Smart Factory, MongoDB, Dynamic, Real Time
Smart Factory, MongoDB, Dynamic, Real Time
사사 : This work was partly supported by the Technology development Program of MSS S3290113 and the ICT development R&D program of MSIT S3290113
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