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Charalampos Karyotis
Researcher at Coventry Health Care
Publications - 8
Citations - 206
Charalampos Karyotis is an academic researcher from Coventry Health Care. The author has contributed to research in topics: Computer science & Automation. The author has an hindex of 2, co-authored 4 publications receiving 70 citations.
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Journal ArticleDOI
Fault Detection and Isolation in Industrial Processes Using Deep Learning Approaches
TL;DR: A novel approach for automated Fault Detection and Isolation (FDI) based on deep learning that can successfully diagnose and locate multiple classes of faults under real-time working conditions is presented and is shown to outperform other established FDI methods.
Journal ArticleDOI
Convolution neural networks for pothole detection of critical road infrastructure
Anup Kumar Pandey,Rahat Iqbal,Tomasz Maniak,Charalampos Karyotis,Stephen Akuma,Vasile Palade +5 more
TL;DR: In this article , the authors proposed a novel application of Convolutional Neural Networks on accelerometer data for pothole detection using an iOS smartphone installed on the dashboard of a car, running a dedicated application.
Journal ArticleDOI
Intelligent Remote Monitoring of Parking Spaces Using Licensed and Unlicensed Wireless Technologies
TL;DR: An intelligent parking system that exploits the benefits of a synergy between licensed and unlicensed wireless technologies, IoT, computer vision, and artificial intelligence is presented and how an end user can interact with the system and manage it with a user interface is discussed.
Proceedings ArticleDOI
Deep Learning for Flood Forecasting and Monitoring in Urban Environments
TL;DR: This architecture enables the proposed system to account for factors that are not included in other modern flood forecasting systems, and simultaneously process high volumes of data originating from diverse data sources, in order to deliver accurate predictions concerning urban flood events.
Journal ArticleDOI
6G Connected Vehicle Framework to Support Intelligent Road Maintenance Using Deep Learning Data Fusion
Mohammad Hijji,Rahat Iqbal,Faiyaz Doctor,Charalampos Karyotis,Wahid Rajeh,Ali G. Alshehri,Fahad Aradah +6 more
TL;DR: In this paper , the authors proposed an intelligent hierarchical framework for road infrastructure maintenance that exploits the latest developments in 6G communication technologies, deep learning techniques, and mobile edge AI training approaches.