ScholarWorks@Gyeongsang National University: Kim, Geonwoo

Detailed Information

Kim, Geonwoo (김건우)

농업생명과학대학 (생물산업기계공학과)

Research Area: 농산물 비파괴평가(초분광, 음향), 식품 안전 및 품질, 초음파 탐상, Nondestructive evaluation for agicultural product (Hyperspectral imaging, ultrasonic testing), Food safety and quality, Ultrasonic testing

Tel 0557721893
Homepage

ResearcherID ORCiD Scopus Google Scholar ID ResearchGate

Keyword

고구마:3||SVM:3||machine learning:3||hyperspectral imaging:3||nondestructive evaluation (NDE):2||수분 스트레스:2||Deep learning:2||water stress:2||Hyperspectral imaging:2||Sweet Potato:2||합성곱 신경망:2||Nondestructive Evaluation:2||Water Stress:2||artificial intelligence (AI):2||Canny edge algorithm:1||Chinese cabbage:1||Climate change:1||Color Imagery:1||Color Imaging:1||Complete Enumeration Survey:1||Convolution Neural Network:1||Crop yield:1||Egg Quality:1||Electrical Impedance Matching:1||FEM simulation:1||Field crops:1||Finite Element Analysis:1||Food safety:1||Forest Healing:1||Forest Healing Instructor:1||Forest Healing Instructor Training:1||Gaussian Process Regression:1||Hg<sub>2</sub>Br<sub>2</sub> crystal:1||Hyperspectral Imaging:1||Image analysis:1||KLM Model:1||KLM 모델:1||LCmatching:1||LC정합:1||Lasso regression:1||Machine  learning:1||Machine Learning:1||Maleic anhydride:1||Melamine:1||Moxibustion:1||NIR imaging:1||Nondestructive:1||Nondestructive Testing:1||Optimal bands:1||Otsu's binarization algorithm:1||PINPMNPT:1||Partial least square regression:1||Partial least squares regression:1||Phased Array Ultrasonic Testing (PAUT):1||Phased Array Ultrasonic Transducer:1||Piezoelectric thin film:1||Plant stress:1||Rail:1||Railway Wheel Rim:1||Residual Stress:1||Ridge regression:1||Root phenotyping:1||SVW:1||SWIR spectroscopy:1||Seed purity:1||Signal Processing Circuit:1||Soil moisture content:1||Storage root morphology:1||Structural Health Monitoring (SHM):1||Surface Acoustic Wave (SAW):1||Sweet potato:1||Temperature:1||Temperature Sensor:1||Thermal Imaging:1||Thermal infrared index:1||Thermography:1||Triploid seeds:1||Ultrahighfrequency (UHF) ultrasonic transducer:1||Ultrasonic Test:1||Ultrasonic Transducer:1||Ultrasonic transducer:1||Watermelon:1||Wheat flour:1||Yield:1||accelerometer:1||aflatoxins:1||analysis of variance:1||birefringence measurement:1||black soldier fly larvae:1||chemical image:1||classification:1||compression fractures:1||crops:1||deep learning:1||fake egg:1||feed insect:1||fluorescence imaging:1||food waste:1||fumonisins:1||goat kid:1||graphical interface:1||guided wave (GW):1||heat stress:1||hydraulic fracturing:1||hyperspectral image:1||image processing:1||labor pain:1||linear discriminant analysis (LDA):1||liquefied hydrogen storage vessel (LHSV):1||liquid chromatography quadrupole timeofflight mass spectrometry:1||longitudinal critically refracted (LCR) wave:1||lying behavior:1||maize:1||management:1||microgravity:1||nondestructive evaluation:1||nondestructive evaluation:1||online measurement:1||organic fertilizer:1||partial least squares:1||produced water quality:1||quality monitoring:1||railway rail:1||recycled produced water:1||residual stress:1||seed:1||shorttime Fourier transform (STFT):1||snapshot multispectral imaging:1||space farming:1||spine:1||stress distribution:1||stress measurement:1||support vector machine:1||sweet potato:1||ultrasonic testing:1||viability:1||visiblenear infrared:1||yield:1||계란 품질:1||괴근 형태:1||구조 건전성 모니터링:1||기후변화:1||딥러닝:1||레일:1||머신 러닝:1||머신러닝:1||바크하우젠 노이즈 프로브:1||밭작물:1||분산 분석:1||비파괴 검사:1||비파괴검사:1||비파괴평가:1||산림치유:1||산림치유지도사:1||산림치유지도사 양성:1||304SS:1||서포트 벡터 머신:1||수량:1||신호처리회로:1||양방향 인터디지털 변환기:1||열 영상:1||온도센서:1||위상배열 초음파 변환자:1||위상배열 초음파 탐상:1||유한요소해석:1||인공결함:1||인공지능:1||잔류응력:1||전기 임피던스 정합:1||전수조사:1||차륜:1||초분광 영상:1||초음파 변환기:1||초음파 탐상:1||컬러 영상:1||컬러 이미지:1||토양 수분 함량:1||표면탄성파:1||생산량:1||ANOVA:1||AOTF:1||Acupoint:1||Analysis of variance:1||Artificial intelligence:1||Barkhausen Noise Probe:1||Benzol peroxide:1||Benzoyl peroxide:1||Bidirectional Inter Digital Transducer:1||Brewster’s angle:1||CIVA:1||CNN:1||CNNs:1||

RSS_1.0 RSS_2.0 ATOM_1.0

Gyeongsang National University Central Library, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea+82-55-772-0533

Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.

Detailed Information

Keyword

BROWSE