A demand-driven, proactive tasks management model at the edge

A Karanika, P Oikonomou… - … conference on fuzzy …, 2020 - ieeexplore.ieee.org
Tasks management is a very interesting research topic for various application domains.
Tasks may have the form of analytics or any other processing activities over the available …

[HTML][HTML] Autonomous proactive data management in support of pervasive edge applications

K Kolomvatsos, C Anagnostopoulos - Future Generation Computer Systems, 2024 - Elsevier
Recently, context-aware data management becomes the focus of many research efforts
placed at the intersection between the Internet of Things (IoT) and Edge Computing (EC) …

An interval type 2 hesitant fuzzy MCDM approach and a fuzzy c means clustering for retailer clustering

SC Oner, B Oztaysi - Soft Computing, 2018 - Springer
Owing to the advancements in information and telecommunication technologies, mobile
location-based services are able to use previously collected mobile check-in data. This multi …

A trust change detection mechanism in mobile ad-hoc networks

M Chatzidakis, S Hadjiefthymiades - Computer Communications, 2022 - Elsevier
The versatility and efficiency of mobile ad-hoc networks comes at a certain cost. The network
nodes are exposed to a variety of attacks and at the same time they are under memory …

Recognition of interactive human groups from mobile sensing data

W Zhu, J Chen, L Xu, J Cao - Computer Communications, 2022 - Elsevier
In real life, people often participate in activities in groups. During the activities, group
members commonly engage in interactions such as shaking hands, waving hands …

[HTML][HTML] A hierarchical distributed trusted location service achieving location k-anonymity against the global observer

F Buccafurri, V De Angelis, MF Idone, C Labrini - Computer Networks, 2024 - Elsevier
As widely known in the literature, location-based services can seriously threaten users'
privacy. Privacy-aware location-based services can be obtained by protecting the user's …

A proactive inference scheme for data-aware decision making in support of pervasive applications

K Kolomvatsos - Future Generation Computer Systems, 2022 - Elsevier
The advent of the Internet of Things (IoT) offers a huge infrastructure where numerous
devices can collect and process data retrieved by their environment. Due to the limited …

Ensemble based data imputation at the Edge

P Fountas, K Kolomvatsos - 2020 IEEE 32nd International …, 2020 - ieeexplore.ieee.org
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 face when relying …

MYRTO: An efficient pervasive method for hybrid ML-based data filtered allocations

D Papathanasiou, A Tziouvaras… - Journal of Intelligent …, 2024 - Springer
Abstract In a Pervasive Edge Computing (PEC) ecosystem, numerous Internet of Things
(IoT) devices collect data from their environment and forward them to a network of Edge …

A deep learning model for demand-driven, proactive tasks management in pervasive computing

K Kolomvatsos, C Anagnostopoulos - IoT, 2020 - mdpi.com
Pervasive computing applications deal with the intelligence surrounding users that can
facilitate their activities. This intelligence is provided in the form of software components …