Category: Paper

Α deterministic digital twin-based method for damage detection of composites subjected to impact loading: development, validation and time-efficiency improvement using a surrogate model

Both monolithic and sandwich composites are highly susceptible to impact loading. Despite of their inherent strength-to-weight…

Modeling of superconductive circuits for quantum computers

Superconductive silicon is one of the most promising technologies for implementing practical quantum computers. EDA vendors…

Towards Nearly Zero-Energy Buildings (NZEB) Based on Edge Artificial Intelligence (EAI)

Buildings account for a significant share of global energy consumption, necessitating innovative approaches for energy conservation…

The University of Patras at the service of securing the future of its graduates

For the University of Patras, students and graduates are at the center of its interest. The…

Anterior Cruciate Ligament Surgical Reconstruction through Finite Element Analysis

ACL surgery aims to repair or reconstruct the anterior cruciate ligament (ACL) by replacing the injured…

Smart Tunnel IoT System For Surveillance And Predictive Maintenance

An advanced IIoT system called “Smart Tunnel”, aims to improve the monitoring and infrastructure maintenance programs…

Enabling the future smart grid: an edge computing approach

Advances in the field of edge computing and the emergence of edge-cloud has enabled the monitoring…

Real Time Drowsiness Detection, Alerting and Reporting

Driver drowsiness is one of the leading causes of motor vehicle crashes, an issue which the…

ProximIoT: A Proximity-based Product Marketing Platform

The broad acceptance and deployment of smartphone and Internet of Things (IoT) technologies presents a first-class…

Explainable Deep Learning for localising abnormal Parathyroid Glands in parathyroid scintigraphy

Parathyroid scintigraphy with 99mTc-sestamibi (MIBI) is an established technique for localising abnormal Parathyroid Glands (PGs). However,…

Emerging Tech Conference Edge Intelligence is organized within the framework of the HCCC project, supported by Chips JU and its members, and is co-funded by European Union and the Greek Government via the “Competitiveness” Programme.