1 citations · 6 across the 22 of their papers we have counts for
22 papers
A Deep Learning Model for Battery State Prediction towards Intelligent Energy Management
Athanasios Koukosias, Vasileios Tzanidakis, Sotiris Athanasiou +1
Accurate forecasting of battery health indicators, including remaining capacity and lifetime, is of paramount importance for ensuring the reliability, safety, and operational effic…
Label-Free Concept Drift Assessment for Reliable AI in Emerging Wireless Applications
Athanasios Tziouvaras, Carolina Fortuna, George Floros +4
Machine learning models deployed in non-stationary environments degrade silently, since as the input distribution drifts their accuracy decays without an error signal and without l…
A Representation Learning Approach to Feature Drift Detection in Wireless Networks
Athanasios Tziouvaras, Blaz Bertalanic, George Floros +3
AI is foreseen to be a centerpiece in next generation wireless networks enabling enabling ubiquitous communication as well as new services. However, in real deployment, feature dis…
An Ensemble Scheme for Proactive Dominant Data Migration of Pervasive Tasks at the Edge
Georgios Boulougaris, Kostas Kolomvatsos
Nowadays, a significant focus within the research community on the intelligent management of data at the confluence of the Internet of Things (IoT) and Edge Computing (EC) is obser…
BundleMoCap: Efficient, Robust and Smooth Motion Capture from Sparse Multiview Videos
Georgios Albanis, Nikolaos Zioulis, Kostas Kolomvatsos
Capturing smooth motions from videos using markerless techniques typically involves complex processes such as temporal constraints, multiple stages with data-driven regression and…
Noise-in, Bias-out: Balanced and Real-time MoCap Solving
Georgios Albanis, Nikolaos Zioulis, Spyridon Thermos +2
Real-time optical Motion Capture (MoCap) systems have not benefited from the advances in modern data-driven modeling. In this work we apply machine learning to solve noisy unstruct…
A Pervasive Framework for Human Detection and Tracking
Fesatidis Georgios, Bratsos Dimitrios, Kostas Kolomvatsos
The advent of the Edge Computing (EC) leads to a huge ecosystem where numerous nodes can interact with data collection devices located close to end users. Human detection and track…
A Proactive Uncertainty driven Model for Tasks Offloading
Maria Papathanasaki, Panagiotis Fountas, Kostas Kolomvatsos
The ever-increasing demands of end-users on the Internet of Things (IoT), often cause great congestion in the nodes that serve their requests. Therefore, the problem of node overlo…
Monitoring and Proactive Management of QoS Levels in Pervasive Applications
Georgios Boulougaris, Kostas Kolomvatsos
The advent of Edge Computing (EC) as a promising paradigm that provides multiple computation and analytics capabilities close to data sources opens new pathways for novel applicati…
Local Learning at the Network Edge for Efficient & Secure Real-Time Predictive Analytics
Natascha Harth, Hans-Joerg Voegel, Kostas Kolomvatsos +1
The ability to perform computation on devices, such as smartphones, cars, or other nodes present at the Internet of Things leads to constraints regarding bandwidth, storage, and en…
A Proactive Management Scheme for Data Synopses at the Edge
Kostas Kolomvatsos, Christos Anagnostopoulos
The combination of the infrastructure provided by the Internet of Things (IoT) with numerous processing nodes present at the Edge Computing (EC) ecosystem opens up new pathways to…
A Soft Method for Outliers Detection at the Edge of the Network
Kostas Kolomvatsos, Christos Anagnostopoulos
The combination of the Internet of Things and the Edge Computing gives many opportunities to support innovative applications close to end users. Numerous devices present in both in…
On the Road from Edge Computing to the Edge Mesh
Panagiotis Oikonomou, Anna Karanika, Christos Anagnostopoulos +1
Nowadays, we are witnessing the advent of the Internet of Things (EC) with numerous devices performing interactions between them or with end users. The huge number of devices leads…
A Fuzzy Logic Controller for Tasks Scheduling Using Unreliable Cloud Resources
Panagiotis Oikonomou, Kostas Kolomvatsos, Nikos Tziritas +3
The Cloud infrastructure offers to end users a broad set of heterogenous computational resources using the pay-as-you-go model. These virtualized resources can be provisioned using…
A Probabilistic Approach for Data Management in Pervasive Computing Applications
Kostas Kolomvatsos
Current advances in Pervasive Computing (PC) involve the adoption of the huge infrastructures of the Internet of Things (IoT) and the Edge Computing (EC). Both, IoT and EC, can sup…
An Intelligent Edge-Centric Queries Allocation Scheme based on Ensemble Models
Kostas Kolomvatsos, Christos Anagnostopoulos
The combination of Internet of Things (IoT) and Edge Computing (EC) can assist in the delivery of novel applications that will facilitate end users activities. Data collected by nu…
Data Synopses Management based on a Deep Learning Model
Panagiotis Fountas, Kostas Kolomvatsos, Christos Anagnostopoulos
Pervasive computing involves the placement of processing services close to end users to support intelligent applications. With the advent of the Internet of Things (IoT) and the Ed…
Proactive Tasks Management based on a Deep Learning Model
Kostas Kolomvatsos, Christos Anagnotopoulos
Pervasive computing applications deal with intelligence surrounding users that can facilitate their activities. This intelligence is provided in the form of software components inc…
On the Use of Interpretable Machine Learning for the Management of Data Quality
Anna Karanika, Panagiotis Oikonomou, Kostas Kolomvatsos +1
Data quality is a significant issue for any application that requests for analytics to support decision making. It becomes very important when we focus on Internet of Things (IoT)…
An Ensemble Scheme for Proactive Data Allocation in Distributed Datasets
T. Koukaras, K. Kolomvatsos
The advent of the Internet of Things (IoT) gives the opportunity to numerous devices to interact with their environment, collect and process data. Data are transferred, in an upwar…
A Data Imputation Model based on an Ensemble Scheme
Panagiotis Fountas, Kostas Kolomvatsos
Edge Computing (EC) offers an infrastructure that acts as the mediator between the Cloud and the Internet of Things (IoT). The goal is to reduce the latency that we enjoy when rely…
An Intelligent Scheme for Uncertainty Management of Data Synopses Management in Pervasive Computing Applications
Kostas Kolomvatsos
Pervasive computing applications deal with the incorporation of intelligent components around end users to facilitate their activities. Such applications can be provided upon the v…