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Convolution Neural Network(CNN) Support Project Ict Convergence Learning Methods Deep Neural Network(DNN) Detection Technology Semiconductor Thin Film Feature Map License Plate Character Recognition Traffic Volume Transportation System Intrusion Detection System(IDS) Intelligent Transportation Multi-View Probability Of Error Colorectal Cancer Feature Regions Vehicle Trajectory Road Traffic Image Segmentation And Classification Information Theory Method Performance Surveillance Camera Object Detection New Method Intelligent Transport Systems(ITS) Lbp Features Data Collecting Processing Speed Public Datasets Highly Reliable Novel Method Naked Eye Neural Network Architecture Night-Time Objective Function Optical Spectrum Analysis Traffic Monitoring Raspberry Pi Big Data Internet Of Things Cctv Systems Control Systems Control Unit Device Structure Feasibility Study Facial Features Graphics Processing High Accuracy Image Information Ir Camera Latent Variables Modified Model Multivariate Statistical Techniques Data-Driven Multi-Sensor Fusion Semantic Segmentation Statistical Hypothesis Test Segmentation Method Structural Information Performance Test Prediction Methods Performance Improvement View Point Uwb System Second-Order Polynomial(SOP) Thin Film Thickness Trajectory Classification Region Proposal Regression Model Automated Algorithm Ball Mill Camera Based Confidence Interval Dynamic Independent Component Analysis Feature Fusion Graphic Processing Unit(GPU) High Performance Hybrid Method Heuristic Method Image Generation Infrared Camera 5-Fold Cross Validation Post-Processing Processing Time Video Sequences Smart Car Optimization Algorithm Type Ii Error Behavior Pattern Cost-Effective Cloud Server Detection And Recognition Deep Networks Driver Drowsiness Detection Faster R-Cnn Fault Type Four-Layer Feature Information Frames Per Second(FPS) Histological Images Image Datasets Limited Resources License Plate Character Segmentation License Plate Image Multi-Modal Machine Learning Short Time Response Synthetic Datasets Vision Algorithms Video Processing Optimization Problem Three-Step Method Auto-Associative Kernel Regression Convolution Operation Detection Task Detection Accuracy Data Acquisition Device Data Latency Eeg Sensor Entropy-Based False Alarm Rate Generative Adversarial Network Image Analysis Ir Image Microsatellite Instability Multiple Instances Mobile Edge Computing(MEC) Method Of Detection Recognition Method Significant Factor Spatial Feature Extraction Polynomial Regression Analysis Vehicle Color Recognition Optical Character Recognition Overall Accuracy Traffic Surveillance Type I Error Traffic Flow Estimation Traffic Accident Real-Time Processing Reflectance Spectrum Relative Position Classification Scheme Classification System Classification Accuracy Connected Component Analysis Comparison Tests Closed Circuit Television(CCTV) Deep Learning Method Data Collected Deep Learning Models Driver Condition Monitoring Fault Detection Fast Method Facial Image Feature Extraction Method Facial Expression Recognition(FER) Facial Expression Classification Light Control Lightweight Model Context Aware System-On-Chip(SoC) Process Optimization Performance Degradation Pathological Image Performance Evaluation Vehicle Color Classification Vehicle Detection Reliable Data Rgb Camera Cloud Computing Controllable Factors Ceramic Powder Deep Convolutional Neural Networks Data Acquisition System Data Processing Detection Method High Brightness Imbalanced Data Images And Videos Investigation Process Lighting Control System Micro-Patterns Similar Method Programmable Logic Controller Product Quality Proposed Model Pedestrian Behavior Potential Applications Probability Map Quality Characteristic Verification Method Vehicle Type Classification Svm Classifier Neural Network Model Training Set Test Set Thickness Prediction Classification Techniques Computer Vision(CV) Communication System Data Augmentation Daq Device Driver'S Drowsiness Eeg Signals Harris Corner Point Detection Challenging Issues Small Set Point Clouds Point Cloud Classification Performance Rate Process Model Unique Solution Optimization Methods Relation Understanding Accuracy Performance Anomaly Detection Cnn Model Detection Rate(DR) Directional Lbp End To End(E2E) Extract Features Finite Resources Functional Relationship Improvement Method Input Features Industrial Plants Low-Cost Miss Detection Manufacturing Processes Recognition Performance Survey Data Service Radius Simulation Results Vehicle Classification