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
A novel passenger flow prediction model using deep learning methods
A novel passenger flow prediction model using deep learning methods
An efficient realization of deep learning for traffic data imputation
Industrial robot control with object recognition based on deep learning
CryptoKnight:generating and modelling compiled cryptographic primitives
A CNN-Based Coherence-Driven Approach for InSAR Phase Unwrapping
Domain Adaption and Fusion for Domain-specific Traffic Sign Detection
Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots
Theory-based residual neural networks: A synergy of discrete choice models and deep neural networks
Deep learning and big data for intelligent transportation : enabling technologies and future trends
Uncertainty-Aware Attention Guided Sensor Fusion For Monocular Visual Inertial Odometry
Robot-aided cloth classification using depth information and CNNs
A deep learning approach for real-time crash prediction using vehicle-by-vehicle data
A novel method for predicting and mapping the occurrence of sun glare using Google Street View
Deep learning of user behavior in shared spaces
Deep learning of user behavior in shared spaces
Shared control of robot manipulators with obstacle avoidance: a deep reinforcement learning approach
An experimental study on visual tracking based on deep learning
Deep Reinforcement Learning for the Navigation of Neurovascular Catheters
Active garment recognition and target grasping point detection using deep learning
Active garment recognition and target grasping point detection using deep learning
Applications of deep learning in congestion detection, prediction and alleviation: A survey
Object detection in high-resolution radar data
Traffic speed prediction for intelligent transportation system based on a deep feature fusion model
One day ahead prediction of global TEC using Pix2pixhd
Modeling train operation as sequences: A study of delay prediction with operation and weather data
A Deep Learning Approach for Object Recognition with NAO Soccer Robots
DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending
Combining learning and structure for robotic manipulation
Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms
Autonome Instrumentierung von Altbergbau durch einen mobilen Manipulator
Deep Reinforcement Learning in Decision-Making of Autonomous Driving: A Survey
Object detection for KRSBI robot soccer using PeleeNet on omnidirectional camera
Train Track Crack Classification Using CNN
DEEP LEARNING AND REAL TIME COMPUTER VISION BASED FEATURE MATCHING IN FLYING ADHOC NETWORKS
An effective spatial-temporal attention based neural network for traffic flow prediction