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