ETRI-Knowledge Sharing Plaform

Machine Learning Neural Networks Mobile Devices Model Compression Energy Saving Bit Representation Distributed Training Structural Information Smartphone Battery Energy Waste Mobile Notification Number Of Layers Negative Results Online Gaming Training Time Target Accuracy Model Structure Accuracy Requirements Batch Size Convolution Neural Network(CNN) Computation Time Root Mean Square(RMS) User Experience Study Smartphone Use Quantization Error Fast Deployment Gradient Boosting Hardware Resources In-The-Wild Mobile Game Need For Auto-Tune Batch Learning Compiler Optimization User Guidance Video Recording Thermal Modeling Speech Recognition State-Of-The-Art Search Time F-Score Internet Of Thing(IoT) Multiple Devices Video Chatting Os Design Training Method Resource Utilization Resource Constraints Auto-Tuning Battery Life Developer Support User Study Surface Temperature Temperature Prediction User Input Model Building Memory Usage Online Learning Over Time Tuning Process Augmented Reality(AR) Battery Consumption Complementary Methods Deep Learning Models Deep Neural Network(DNN) Thermal Discomfort Thermal Imaging Camera Internal Sensor Prediction Model Time-Invariant Time Sensitivity Wearable Device Thermal Behavior Screen Size Statistical Test Edge Devices Efficient Code Image Classification Management System Model Complexity Resource-Constrained Resource Usage Data Collection Thermal Issues Thermal Characteristic Speed-Up Edge Computing Execution Speed Genetic Algorithm Invariant Feature Learning-Based Multiple Targets Resource Analysis Accuracy Loss Computational Requirements Use Cases Efficient Model Heuristic Search Longitudinal Studies Performance Monitoring Prediction Accuracy Time Consumption