CAU Scholar's Space: Rho, Seungmin

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Rho, Seungmin (노승민)

경영경제대학 (산업보안학과)

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Tel 02-820-5630
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Keyword

Gait recognition:4||ensemble learning:4||Machine learning:3||Internet of Things:3||Anomaly detection:3||Adversarial attack:3||Transfer learning:2||Ensemble learning:2||Treebased method:2||Liver tumor detection:2||online learning:2||peak load forecasting:2||UNet:2||Smart city:2||Internet of Everything (IoE):2||shortterm load forecasting:2||SmartEnvironments:2||Deep learning:2||Feature extraction:2||user behavior analysis:2||Random forest:2||building energy management:2||Explainable artificial intelligence:2||Anomaly Detection:2||CyberPhysical Systems:2||Measurement:2||Energy consumption:2||Face recognition:2||Survey:2||GRU:2||Blockchain:2||LSTM:2||household electricity demand forecasting:2||hybrid forecasting model:2||Shortterm load forecasting:2||Person reidentification:2||LightGBM:2||Defense Strategies:1||Demand forecasting:1||Dilated CNN:1||Distributed consensus algorithm:1||Disturbance observer:1||EMG signals:1||Ear:1||Electric load forecasting:1||Energy:1||Energy forecasting:1||Ensemble Learning:1||Estimation:1||Explainable Artificial Intelligence:1||Explainable electrical load forecasting:1||FCN technique:1||FLDA:1||Fake News Detection:1||Fast gradient sign method (FGSM):1||FastRSLCR technique:1||Fault tolerance:1||Feature fusion:1||Feedforwardfeedback proportiondifferentiation controller:1||Financial Marketing:1||FoE:1||Force loading:1||Forecasting:1||Gait Recognition:1||Gated Recurrent Units:1||Generative adversarial network:1||Graph Attention Mechanism:1||Graph neural networks:1||Headphones:1||Human action recognition:1||Hybrid deep learning:1||IMU movement:1||IOMT:1||Image fusion:1||Imbalanced data:1||Industry 4:1||Industry 4.0:1||Insufficient data:1||Intelligent surveillance monitoring:1||Internet of things:1||Interpretable:1||Interpretable machine learning:1||Intra and interclass variations:1||Intrusion detection:1||Joint angle estimation:1||Joint statistical prior:1||KSVD:1||Korean Film Industry:1||Lane detection:1||Language and vision based ReID:1||Learning systems:1||Limited labeled data challenges:1||Local energy systems:1||Localization:1||Long ShortTerm Memory:1||Machine learning algorithms:1||Malicious node detection:1||Manifold:1||Map:1||Mathematical models:1||Medical data:1||Medical decision making:1||MetaHeuristic optimization:1||Microinteraction:1||Mish activation:1||Missing Value Imputation:1||Mobile terminal:1||Mobile video processing:1||Monitoring:1||Multistep:1||MultistepAhead Prediction:1||Multistepahead prediction:1||Multivariate KPI:1||Multivariate Timeseries:1||Muscles:1||NLDA:1||Nature image priors:1||Network security management:1||Online Movies:1||Online learning:1||Online machine learning:1||Overlapping actions:1||POSNet:1||Parallel structure Atrous convolutions:1||Path analysis:1||Performance Improvement:1||Performance evaluation:1||Perturbation methods:1||Photo Sketch synthesis:1||Photovoltaic:1||Power:1||Prediction model:1||Predictive models:1||Probes:1||RANet:1||Ranger:1||Reinforcement learning:1||SHAP:1||Security and Privacy Concerns:1||Security concerns:1||Security of Surveillance Systems:1||Security surveillance systems:1||Semantic segmentation:1||Sensors:1||Sequential learning model:1||Shapley additive explanations:1||Silent command recognition:1||Sliding window:1||Smart City:1||Smart Grid:1||Smart Meter:1||Smart grid:1||Social media:1||Social networking:1||Softpoolassisted attentions:1||Solar Irradiance Forecasting:1||Solar irradiation forecasting:1||Spatial Dependence:1||Spatiotemporal feature learning:1||Speech recognition:1||Sport of basketball:1||Stackedbidirectional LSTM:1||Support vector machines:1||Surveillance:1||Synthetic minority oversampling technique:1||Task analysis:1||Term Deposit Subscription Forecasting:1||Testing:1||Time series:1||Timeseries crossvalidation:1||Traffic governance and control:1||Trajectory image:1||Transmission range:1||Tumor segmentation:1||Universal Perturbations:1||Variational autoencoder:1||Vehicle detection:1||Video content analysis:1||Wearable sensors:1||Wireless Sensor Networks (WSNs):1||Wireless sensor networks:1||automated stock trading:1||big data:1||covariate conditions:1||cyber security:1||data analytics:1||deep learning:1||deep reinforcement learning:1||deepQ networks:1||discriminative feature learning:1||endogenous and exogenous indicators:1||explainable AI:1||forecasting network:1||linear regression:1||liver tumor segmentation:1||long shorterm memory:1||longterm market future patterns:1||machine learning:1||malware detection:1||malware visualization:1||multiscale features:1||network traffic:1||person reidentification (ReID):1||residual learning:1||security systems:1||smart healthcare system:1||social media sentiment analysis:1||stock prediction:1||textile industries:1||transfer learning:1||visual surveillance systems:1||결측치 대체:1||금융 마케팅:1||다단계 예측:1||배깅:1||부스팅:1||설명 가능한 인공지능:1||스마트 그리드:1||스마트 미터:1||스마트 시티:1||앙상블 학습:1||일사량 예측:1||0:1||정기예금 가입 예측:1||Accuracy:1||Adaptation models:1||Adaptive Mask:1||Adaptive filters:1||Adaptive systems:1||Adversarial Attacks:1||Artificial intelligence:1||Attacks:1||Automated Machine Learning:1||Autonomous surveillance system:1||Bagging:1||BiLSTM:1||Bidirectional LSTM:1||Bikesharing demand:1||Blockchain Technology:1||Boosting:1||Bowden cable:1||Brexit event:1||Building energy consumption forecasting:1||Building energy data analytics:1||COVID19:1||Calibration:1||Clothing:1||Cluster Analysis:1||Color conversion:1||Computational modeling:1||Convolutional LSTM:1||Convolutional neural network:1||Cubist:1||Cyberphysical systems:1||Data models:1||Data repair:1||Deidentification:1||Decision support system:1||Decisionmaking ability:1||Deep autoencoder:1||

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