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Lane Detection and Collision Prevention System for Automated Vehicles
Learning Multiplicative Interactions with Bayesian Neural Networks for Visual-Inertial Odometry
Machine Learning-Based Handovers for Sub-6 GHz and mmWave Integrated Vehicular Networks
A Deep Reinforcement Learning Framework where Agents Learn a Basic form of Social Movement
Deep Reinforcement Learning: A Brief Survey
A Deep Learning Approach to Analyze Traffic Congestions for Effective Traffic Management
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Smart Event Forecast for Seaports (SMECS) : Schlussbericht : Projektlaufzeit: 01.09.2017-29.02.2020
Bees Traplining Metaphors for the Vehicle Routing Problem Using a Decomposition Approach
Automatic PID Tuning Toolkit Using the Multi-Objective Bees Algorithm
Shape Recognition for Industrial Robot Manipulation with the Bees Algorithm