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Neural Networks and Advanced Algorithms for Intelligent Monitoring in Industry
Gaussian Processes in Control: Performance Guarantees through Efficient Learning
2017 Cognitive Communications for Aerospace Applications Workshop (CCAA) : 27-28 June 2017
Artificial Intelligence Empowered Models for UAV Communications
Machine Learning Algorithms for Predication of Traffic Control Systems on VANET’s
Intelligent System for Railway Joint Diagnostics
Physics-informed regression of implicitly-constrained robot dynamics
An Improved Machine Learning Algorithm for Crash Severity and Fatality Insight in VANET Network
Adaptive human-robot policy blending for shared control teleoperation
Adhering to Terrain Characteristics for Position Estimation of Mobile Robots
Learning continuous human-robot interactions from human-human demonstrations
Computational methods for cognitive and cooperative robotics
Unconstrained licence plate and text localization and recognition
New Text Detection Technique Using Machine Learning Architecture
EDAMOD: Edge Detection and Moving Object Detection Algorithm to Control Traffic Lights Dynamically
Automotive fault diagnosis - part II: a distributed agent diagnostic system
A methodology for photometric validation in vehicles visual interactive systems
Neural network full-body human predictive models and their use for coordinated robot motion planning
A Compact Orthomode Transducer in K-Band for Satellite Communications
Unsupervised Learning of Finite Gaussian Mixture Models (GMMs): A Greedy Approach
Image Processing Method Based on Cellular Automata Model and Convolutional Neural Network
Machine Learning Technologies in Internet of Vehicles
Envisioning a New Command and Control (C2) Architecture for All-Domain Operations
Intelligence After Next: Breaking Past AI's Confirmation Bias
Characterizing Smart Grid Events Using Clustering Methods
Sampling-based exploration strategies for mobile robot autonomy
3D vehicle sensor based on monocular vision
Artificial Intelligence: Need, Evolution, and Applications for Transportation Systems
Developing an Air Force Retention Early Warning System: Concept and Initial Prototype
Deep Learning Mechanism for Region Based Urban Traffic Flow Forecasting
Traffic sign recognition using evolutionary Adaboost detection and forest-ECOC classification
Pioneering Data Quality and Security in Smart Grid
A fuzzy system for automotive fault diagnosis: fast rule generation and self-tuning
Lane change intent analysis using robust operators and sparse Bayesian learning
Traffic Light Control and Machine Learning: A Systematic Mapping Review