ETRI-Knowledge Sharing Plaform

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