ScholarWorks@Gachon: Lee, Sang-Woong

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Lee, Sang-Woong (이상웅)

College of IT Convergence (인공지능학과)

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Tel 031-750-6918
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Flying ad hoc networks (FANETs):6||Deep learning:5||Artificial intelligence (AI):5||Routing:5||Clustering:4||Convolutional neural networks:3||Generative adversarial networks:3||Image processing:3||Unmanned aerial vehicles (UAVs):3||Optimization:3||CNN:3||Drosophila:2||Metaheuristic algorithms:2||Convolutional Neural Networks:2||BERT:2||Face recognition:2||Mortality:2||Reinforcement learning (RL):2||deep convolutional neural network:2||Image denoising:2||deep learning:2||ResNet:2||Photovoltaic module:2||Graph convolutional networks:2||FastText:2||Image segmentation:2||Machine learning:2||Machine learning (ML):2||Improved:2||Fuzzy logic:2||Swin Transformer:2||Thermal image:2||CV2X:1||Cancer:1||Cancer burden:1||CarNet:1||Cataract surgery:1||Challenge:1||Character Recognition:1||Chest Xray:1||Chronic obstructive pulmonary disease:1||Classification:1||Clientside:1||Collective behaviors:1||Colon Disease Classification:1||Color Constancy:1||Color features:1||Colorectal image classification:1||Colorectal segmentation:1||Contrastlimited adaptive histogram equalization (CLAHE):1||ConvMixer:1||Convolution:1||Convolutional neural network:1||Cosmetic product classification:1||Cosmetic product detection:1||Cryptography: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||Deep reinforcement learning:1||Delays:1||DenialofService:1||Descriptor:1||Detector:1||Deterioration:1||Disability adjusted life years:1||Drone:1||Drones:1||EFMCDM:1||Electroencephalography:1||Encoderdecoder:1||Encryption:1||Endoscopy:1||Energy efficiency:1||Ensemble learning:1||Epidemiology:1||Epilepsy:1||Epileptic seizure diagnosis:1||FED:1||FRM: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||Fusion model:1||GAN:1||Generative adversarial network:1||Generators:1||Gimbal:1||Global Burden of Disease:1||Global burden of disease:1||Golden Jackal Optimization:1||Golf ball:1||Gradient boosting trees:1||Graph attention networks:1||Graph neural network:1||Graylevel cooccurrence matrix:1||HIGAN:1||HLSAKAZE:1||Hadoop distributed file system:1||Hash functions:1||Hessian response:1||Hierarchical collaborative representationbased classification:1||Histopathological image analysis:1||Histopathological microscopic images:1||Hot spot:1||Hough Transform:1||Hybridization:1||Image deraining:1||Image matting:1||Inception network:1||Incidence:1||Internet of Things: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||Link Prediction:1||Local ternary patterns:1||Lung disease:1||MCDM:1||MITBIH arrhythmia:1||Mathematical models:1||Measurement:1||Medical Data:1||Medical Image Segmentation:1||Medical diagnosis:1||Medical image segmentation:1||Medical imaging:1||Metaheuristic algorithms:1||Middle East:1||Mobile ad hoc networks:1||Mobile robots:1||Mode4 communication:1||Morbidity:1||Multi scale feature:1||Multi model:1||Multiimage cipher:1||Multikernel support vector machine:1||Multiscale attention:1||Multiscale dilated convolutions:1||Nanotechnology:1||Natureinspired algorithms:1||Network based Statistics:1||Network data analysis:1||Network traffic:1||Neural Network:1||No reference image quality assessment:1||Noise measurement:1||Noise reduction:1||Nonlinear scale spaces:1||North Africa:1||Optimization algorithms:1||Optimization problems: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||Progressive fusion:1||Progressive multi task learning:1||Protocols:1||Psychology:1||Pulmonary emphysema:1||Pyramidal directional filter blank contourlet transform:1||Quantumdot cellular automata:1||Quark hash function:1||RFID:1||Radiofrequency identification:1||Raindrop removal:1||Recommender systems:1||Reconstruction of nonfacial components:1||Recursive reconstruction:1||Reliability:1||Routing protocols:1||SENet:1||Security:1||Segmentation:1||Semantic image segmentation:1||Social networks: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||Underwater acoustic sensor networks (UASNs):1||Unknown region detection:1||Unmanned aerial vehicle (UAV):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||Wireless 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||defect analysis:1||dilated convolution:1||domain generalization:1||electrical safety:1||electrocardiogram:1||ellipse detection:1||encoderdecoder network:1||ensemble learning:1||epidemiology:1||feature information:1||fluorescence microscopy images:1||fungi:1||gunshot damage:1||healthcare:1||hierarchical collaborative representationbased classification:1||image denoising:1||image segmentation: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||multivariate:1||nonstationary:1||numerous level:1||parking occupancy detection:1||permutation:1||polyp generalization:1||polyp segmentation:1||port vector machine:1||powerline equipment:1||prognosis:1||protein:1||protein sequence:1||risk factor:1||s disease:1||sarcopenia:1||secret disclosure attack:1||secure routing:1||security:1||seizure:1||serverside:1||skipgram:1||spectral decomposition:1||sup:1||texture classification:1||time series forecasting:1||toxin:1||ultralightweight:1||univariate:1||virulence factors:1||weakstationary: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||Accuracy:1||Acoustic scene classification:1||Actorcritic framework: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||Artificial Intelligence (AI):1||Artificial hummingbird algorithm:1||Asia:1||Asthma:1||Attention:1||Attention Network:1||Attention module:1||Attention network:1||Authentication:1||Autoencoder:1||Automatic trimap:1||Autonomous drone:1||Beluga whale optimization algorithm:1||Blind denoising:1||Blind image quality assessment:1||BoostNet:1||Brain modeling:1||Breast cancer:1||CBAM:1||CMLDB:1||CRC: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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