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Deep Learning
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A review of deep learning methods and applications for unmanned aerial vehicles
GPS-based citywide traffic congestion forecasting using CNN-RNN and C3D hybrid model
Highway crash detection and risk estimation using deep learning
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
SupernoVAE : VAE based kernel PCA for analysis of spatio-temporal Earth data
An efficient realization of deep learning for traffic data imputation
A novel passenger flow prediction model using deep learning methods
A novel passenger flow prediction model using deep learning methods
Industrial robot control with object recognition based on deep learning
Domain Adaption and Fusion for Domain-specific Traffic Sign Detection
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks
CryptoKnight:generating and modelling compiled cryptographic primitives
Deep learning and big data for intelligent transportation : enabling technologies and future trends
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
Uncertainty-Aware Attention Guided Sensor Fusion For Monocular Visual Inertial Odometry
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots
Robot-aided cloth classification using depth information and CNNs
A deep learning approach for real-time crash prediction using vehicle-by-vehicle data