ScholarWorks@Gachon: Lee, Sang-Woong

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Lee, Sang-Woong (이상웅)

College of IT Convergence (Department of Software)

Research Area: 전산학

Tel 031-750-6918
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Deep learning:5||Routing:3||Image processing:3||Convolutional neural networks:3||CNN:3||Generative adversarial networks:3||Photovoltaic module:2||Swin Transformer:2||Image segmentation:2||Convolutional Neural Networks:2||Face recognition:2||FastText:2||Fuzzy logic:2||Drosophila:2||Artificial intelligence (AI):2||ResNet:2||Thermal image:2||deep convolutional neural network:2||Flying ad hoc networks (FANETs):2||Image denoising:2||BERT:2||CMLDB:1||CRC:1||CV2X:1||Cancer:1||CarNet:1||Cataract surgery:1||Challenge:1||Character Recognition:1||Chest Xray:1||Chronic obstructive pulmonary disease:1||Classification:1||Clientside:1||Clustering:1||Colon Disease Classification:1||Color Constancy:1||Color features:1||Colorectal image classification:1||Colorectal segmentation:1||Contrastlimited adaptive histogram equalization (CLAHE):1||Convolution:1||Convolutional neural network:1||Cosmetic product classification:1||Cosmetic product detection:1||Cyberattacks:1||DCASE:1||DNN:1||Decision making:1||Decryption:1||Deep Learning:1||Deep Raindrops dataset:1||Deep convolutional neural network:1||Deep convolutional neural networks:1||Deep learning models:1||Delays:1||DenialofService:1||Descriptor:1||Detector:1||Deterioration:1||Drone:1||Drones:1||EFMCDM:1||Encoderdecoder:1||Encryption:1||Endoscopy:1||Epidemiology:1||FED:1||Fault detection:1||Federated learning:1||Fluorescence microscopy images:1||Flying ad hoc network (FANET):1||Frame Differencing:1||FullSubtractor:1||Fully connected conditional random fields:1||Fully convolutional neural networks:1||Fusion Structures:1||GAN:1||Generative adversarial network:1||Generators:1||Gimbal:1||Global Burden of Disease:1||Golf ball:1||Gradient boosting trees:1||Graylevel cooccurrence matrix:1||HIGAN:1||HLSAKAZE:1||Hadoop distributed file system:1||Hessian response:1||Hierarchical collaborative representationbased classification:1||Histopathological image analysis:1||Histopathological microscopic images:1||Hot spot:1||Hough Transform:1||Image deraining:1||Image matting:1||Inception network:1||Internet of things (IoT):1||Interstitial lung disease:1||Intrusion detection:1||Intrusion detection system:1||Inverse document frequency:1||Keypoints:1||Knight:1||LSTM:1||License plate detection:1||Local ternary patterns:1||Lung disease:1||MCDM:1||MITBIH arrhythmia:1||Machine learning (ML):1||Mathematical models:1||Medical Data:1||Medical Image Segmentation:1||Medical image segmentation:1||Medical imaging:1||Middle East:1||Mobile ad hoc networks:1||Mobile robots:1||Mode4 communication:1||Morbidity:1||Mortality:1||Multi model:1||Multiimage cipher:1||Multikernel support vector machine:1||Multiscale attention:1||Multiscale dilated convolutions:1||Nanotechnology:1||Network based Statistics:1||Network traffic:1||Neural Network:1||Noise measurement:1||Noise reduction:1||Nonlinear scale spaces:1||North Africa:1||PKLot:1||PSNR:1||Particle measurements:1||Patchbased method:1||Photovoltaic power station:1||Pneumoconiosis:1||Pneumonia detection:1||Polyp:1||Polyp Segmentation:1||Polyp segmentation:1||Power loss and reversibility logic:1||Probabilistic principal component:1||Psychology:1||Pulmonary emphysema:1||Pyramidal directional filter blank contourlet transform:1||Quantumdot cellular automata:1||Raindrop removal:1||Reconstruction of nonfacial components:1||Recursive reconstruction:1||Reinforcement learning (RL):1||Routing protocols:1||SENet:1||Segmentation:1||Semantic image segmentation:1||Softmax collaborative representationbased classification:1||Software convergence:1||Software education:1||Storms:1||Support vector data description:1||Thermal image analysis:1||Threshold:1||Tools:1||Tracking:1||Training:1||Transfer Learning:1||Transformers:1||Trimap:1||Trust:1||Trustworthiness:1||Uncertainty:1||Unconstrained face recognition:1||Unknown region detection:1||Unmanned aerial vehicle (UAV):1||Unmanned aerial vehicles (UAVs):1||Unmanned ariel vehicles (UAVs):1||Vehicular ad hoc networks:1||Video analysis:1||Virtual 3D chessboard:1||Virtual groups:1||White matter:1||Wholeslide image:1||Wireless internet of sensor networks:1||Word embedding:1||Word2vec:1||YOLOV3:1||adhoc vehicular network:1||artificial intelligence:1||blind denoising:1||boundary segmentation:1||breast cancer:1||cancer cachexia:1||chemotherapy:1||colon disease classification:1||colon disease classification with CNN:1||colorectal segmentation:1||computer vision:1||continuous network:1||convolutional neural networks:1||cutoutswitches:1||data fusion:1||deep convolutional neural networks:1||deep extreme learning machine:1||deep learning:1||defect analysis:1||dilated convolution:1||electrical safety:1||electrocardiogram:1||ellipse detection:1||encoderdecoder network:1||epidemiology:1||fluorescence microscopy images:1||fungi:1||gunshot damage:1||healthcare:1||hierarchical collaborative representationbased classification:1||image denoising:1||in vitro cytotoxicity assay:1||insulators:1||inverse document frequency:1||license plate recognition:1||local ternary patterns:1||lung cancer:1||machine learning:1||medical image segmentation:1||multiagent system:1||multinational license plate recognition:1||parking occupancy detection:1||port vector machine:1||powerline equipment:1||prognosis:1||protein:1||protein sequence:1||risk factor:1||s disease:1||sarcopenia:1||secure routing:1||security:1||serverside:1||skipgram:1||sup:1||toxin:1||virulence factors:1||wireless body sensor networks (WBSNs):1||word embedding:1||word2vec:1||검출자:1||골프 공:1||기술자:1||딥러닝:1||딥러닝 모델:1||문자 인식:1||비선형 크기 공간:1||색 항상성:1||색상 특징:1||선암:1||스킵그램:1||신경망:1||역문서빈도:1||욜로V3:1||용종:1||용종 분할:1||워드 임베딩:1||워드투벡:1||융합 구조:1||의료 데이터:1||의료 영상 분할:1||인공지능:1||임계값:1||주의 네트워크:1||차영상:1||추적:1||트랜스포머:1||특징점:1||패스트택스트:1||폐렴 감지:1||합성곱:1||합성곱 신경망:1||허프 변환:1||헤시안 응답:1||4thindustrial revolution:1||흉부 엑스레이:1||Acoustic scene classification:1||Adaptive ensemble of deep softmax collaborative representationbased classifiers:1||Adenomacarcinoma:1||AlexNet:1||Alpha matte:1||Alpha matting:1||Alzheimer&apos:1||Artificial Intelligence:1||Asthma:1||Attention:1||Attention Network:1||Attention module:1||Attention network:1||Autoencoder:1||Automatic trimap:1||Autonomous drone:1||Blind denoising:1||BoostNet:1||Breast cancer:1||CBAM:1||

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1342, Seongnam-daero, Sujeong-gu, Seongnam-si, Gyeonggi-do, Republic of Korea(13120)031-750-5114

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