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07/21/2022
Land Classification in Satellite Images by Injecting Traditional Features to CNN Models
Deep learning methods have been successfully applied to remote sensing p...
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12/30/2021
Aim in Climate Change and City Pollution
The sustainability of urban environments is an increasingly relevant pro...
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08/24/2021
Interpretable deep-learning models to help achieve the Sustainable Development Goals
We discuss our insights into interpretable artificial-intelligence (AI) ...
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07/29/2021
Recurrent U-net for automatic pelvic floor muscle segmentation on 3D ultrasound
The prevalance of pelvic floor problems is high within the female popula...
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07/08/2021
Towards Autonomous Pipeline Inspection with Hierarchical Reinforcement Learning
Inspection and maintenance are two crucial aspects of industrial pipelin...
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07/06/2021
Remote sensing, AI and innovative prediction methods for adapting cities to the impacts of the climate change
Urban areas are not only one of the biggest contributors to climate chan...
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07/04/2021
Low-Dimensional State and Action Representation Learning with MDP Homomorphism Metrics
Deep Reinforcement Learning has shown its ability in solving complicated...
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07/04/2021
Low Dimensional State Representation Learning with Robotics Priors in Continuous Action Spaces
Autonomous robots require high degrees of cognitive and motoric intellig...
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07/29/2020
Low Dimensional State Representation Learning with Reward-shaped Priors
Reinforcement Learning has been able to solve many complicated robotics ...
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02/10/2020
On Reward Shaping for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach
We present a map-less path planning algorithm based on Deep Reinforcemen...
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11/03/2019
A low-cost real-time 3D imaging system for contactless asthma observation
Asthma is becoming a very serious problem with every passing day, especi...
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11/02/2019
3D tissue reconstruction with Kinect to evaluate neck lymphedema
Lymphedema is a condition of localized tissue swelling caused by a damag...
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10/29/2019
Sequential image processing methods for improving semantic video segmentation algorithms
Recently, semantic video segmentation gained high attention especially f...
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10/23/2019
