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learning
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A state-of-the-art survey of deep learning models for automated pavement crack segmentation
Identification of optimal locations of adaptive traffic signal control using heuristic methods
Simulation-driven design of a fast monohull
Estimating the effect of biofouling on ship shaft power based on sensor measurements
Using supervised machine learning algorithms in pavement degradation monitoring
Evaluation of the Explanatory Power Of Layer-wise Relevance Propagation using Adversarial Examples
A deep learning method for the prediction of 6-DoF ship motions in real conditions
Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data
Propeller optimization by interactive genetic algorithms and machine learning
Representative truck activity patterns from anonymous mobile sensor data
The impact of the combination equilibrium of horizontal and sag-vertical curves on safety
A Two-Stage Learning Architecture That Generates High-Quality Grasps for a Multi-Fingered Hand
Speeding Up Optimization-based Motion Planning through Deep Learning