ETRI-Knowledge Sharing Plaform

Ict Convergence Convolution Neural Network(CNN) Support Project Ambient Sensors Human Activity Recognition(HAR) New Method Sensor Data Abnormal Detection Data-Driven Long-Term Memory Pre-Processing Performance Test Sensor Information Gradient Boosting Cepstral Coefficients Causal Relationship Fuzzy Features Long-Short Term Memory(LSTM) Open Datasets Social Problems Sales Data Behavior Pattern Unlabeled Data Koopman Operator Machine Learning Sleep Quality Company Data Feature Vector Learning Data Model-Based Mel-Frequency Cepstral Quality Analysis Sensitive Personal Information Spatiotemporal Dependencies Acoustic Characteristics Acoustic Feature Extraction Hybrid Models Company Survey Deep Learning Models Direct Transfer Energy Consumption Human Activity Prediction Mel-Frequency Cepstrum Coefficients(MFCC) Matrix Multiplication Prediction Model Quality Of Sleep Superior Performance Affine Transformation Two-Dimensional(2D) Consumption Data Direct Causality Performance Of Prediction Acoustic Features Temporal Windows Consecutive Events Cross Validation(CV) Extraction Model Historical Data Learning-Based Neural Network Model Transfer Entropy Classification Performance End To End(E2E) Health Risks Health Status Model Performance Prediction Accuracy Survey Data