ETRI-Knowledge Sharing Plaform

X-Ray Images Ict Convergence Internet Of Things(IoT) Transformer-Based Convolution Neural Network(CNN) Wind Turbine Blades Support Project Image-Based Active Learning(AL) Real-World Optical Components Deep Learning Models Wind Blade Time Series Data Data Selection Constrained Application Protocol Domain Adaptation Intelligent Greenhouse Quality Data Computer Vision(CV) Machine To Machine(M2M) Network Packets Machine Learning Human Activity Recognition Image Deblurring Active Transfer Learning Model-Based Image Datasets Data-Driven Pre-Processing Load Balancing Koopman Operator Classification Method Long-Short Term Memory(LSTM) Sensor Data Lightweight M2m Object Detection Internet Engineering Task Force Bad Data Human Data Labeling Method Outside Temperature Problem Classification Temperature Control Building Block Control Scheme Language Model Predictive Performance Prediction Model Recurrent Neural Network(RNN) Uncertainty Metric Web Of Things Ambient Sensors Net Cost Hough Transformation Internet Service Load Data Learning Methodologies Time-Domain Synthetic Datasets Spatial Relationships Training Set Back Light Unit Computer Numeric Control Data Normalization Model Learning Bus System Forecast Accuracy Multi-Sensor Platform Pipeline Flow Estimation Error Learning-Based Microservice Architecture Auto Regressive Integrated Moving Average(ARIMA) Source Domain Abrupt Climate Change Distribution Problem Estimation Performance Invalid Data Multivariate Time Series Probabilistic Forecasting Transfer Entropy Data Imbalance Unlabeled Data Server Cluster Short-Term Forecast Two-Dimensional(2D) Linear System Regression-Based Excessive Use City Model Demand Reduction Green It Learning Framework Anomaly Classification Multiple Sensors Civil Engineering Compressible Fluid Data Sampling Data Imputation Embedded Sensor Digital Twin High Availability Many Factors Object Classification Programming Method Artificial Intelligence Technology Fuzzy Features Learning Methods Natural Language Processing(NLP) Operating Environment Real-Time Management Erroneous Data Root Mean Square Error(RMSE) Forecasting Model Real-Time Data Analysis End To End(E2E) High-Quality Air Conditioning Compressible Gas Flow First Method Direct Causality Forecasting Techniques False Alarm Rate(FAR) Main Building Data For Prediction Network Overhead Power Quality(PQ) Classification Performance Excellent Performance Quality Problem Data Acquisition(DAQ) Non-Destructive Inspection Structure Similarity Index Measure(SSIM) State-Of-The-Art X-Ray Generator Forecast Uncertainty Loss Function Machine Data Imputation Methods Electricity Demand Mobile Device Sensors Mining Analysis Pv Power Differential Algebraic Equations High Performance OMA LWM2M Real-Time Systems Energy Efficiency Latent Space Model Architecture Natural Phenomena Pressure Mapping Meta-Learning Mesh-Free Reliable Model Hybrid Model Long-Term Memory Rul Prediction Iot Services Simulation Results Anomaly Detection Temporal Windows Hybrid Sensor Rechargeable Batteries Data Sources Overall Accuracy Sensor Information Cnc Milling Machine Flow Mapping False Positive Results Model Parameter Practical Application Component Extraction Diffusion Model Missing Values Outlier Detection Prediction Accuracy REST API Historical Data Manufacturing Cost Modern Technology Power Losses Data Mining(DM) Predictive Mechanism Planning Model Accurate Measurement Canny Edge Detection Feature Extraction Algorithm Extraction Technique Pipeline Networks Self-Conditioning Cross Validation(CV) Flight Path Planning Load Pattern Novel Approach Open Datasets Nonlinear Dynamical System Weather Stations Software Development Methodology Spatiotemporal Dependencies Detailed Information Large-Scale Rgb Image Finite Difference Method Performance Degradation Transient Flow Invariant Feature Matrix Multiplication Server Health Ensemble Method Adaptation Model Consecutive Events Power Output Joint Detection Renewable Energy Systems Image Sharpening Key Components Management Platform Resource Distribution Computational Problems Linear Structure Remaining Useful Life Prediction Improved Performance Direct Transfer Direction Detection Extract Features Residential Electricity Context Aware Degradation Diagnosis Local Minima Mobile Crowd Sensing(MCS) Packet-Flow Energy Storage Systems(ESS) Estimation Model Mobile Phone Sensors Message Exchange Model Oversampling Technique Real Industrial Data Sensor Calibration Simple Random Sampling Energy Industry International Companies Learning Approach Model Tracking Robot Control Solar Pv Systems 3d Display Flow Problem External Factors Pattern Learning Task Planning Stochastic Programming Integrated Services(IntServ) Battery Internal Resistance Code Generation Robot Task Unique Characteristics Smart Vehicle External Environment Forecasting Performance Human Activity Prediction S-Transform System Identification(SI) Classification Accuracy Causal Relationship Traditional Methods Time-Series Forecasting Adaptive Sampling Health Status Physical Server Proposed Model Mass Flow Short-Term Electricity Load Regional Energy Transient Analysis Fast And Accurate Performance Metrics Product Quality