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03/02/2023
A Few-Shot Attention Recurrent Residual U-Net for Crack Segmentation
Recent studies indicate that deep learning plays a crucial role in the a...
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09/20/2022
Diabetic foot ulcers monitoring by employing super resolution and noise reduction deep learning techniques
Diabetic foot ulcers (DFUs) constitute a serious complication for people...
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07/05/2022
Towards trustworthy Energy Disaggregation: A review of challenges, methods and perspectives for Non-Intrusive Load Monitoring
Non-intrusive load monitoring (NILM) is the task of disaggregating the t...
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05/24/2022
TraCon: A novel dataset for real-time traffic cones detection using deep learning
Substantial progress has been made in the field of object detection in r...
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05/09/2022
Robotic Maintenance of Road Infrastructures: The HERON Project
Of all public assets, road infrastructure tops the list. Roads are cruci...
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05/04/2022
Evaluating Transferability for Covid 3D Localization Using CT SARS-CoV-2 segmentation models
Recent studies indicate that detecting radiographic patterns on CT scans...
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07/02/2021
Evaluating the Usefulness of Unsupervised monitoring in Cultural Heritage Monuments
In this paper, we scrutinize the effectiveness of various clustering tec...
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06/25/2021
Assessing the Lockdown Effects on Air Quality during COVID-19 Era
In this work we investigate the short-term variations in air quality emi...
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08/12/2020
Pixel-level Corrosion Detection on Metal Constructions by Fusion of Deep Learning Semantic and Contour Segmentation
Corrosion detection on metal constructions is a major challenge in civil...
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05/30/2020
