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Antonis Vafeas
Antonis Vafeas
Electrical Electronics Engineering University of Bristol
Verified email at bristol.ac.uk - Homepage
Title
Cited by
Cited by
Year
Voice user interfaces in schools: Co-designing for inclusion with visually-impaired and sighted pupils
O Metatla, A Oldfield, T Ahmed, A Vafeas, S Miglani
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
912019
SPHERE: A sensor platform for healthcare in a residential environment
P Woznowski, A Burrows, T Diethe, X Fafoutis, J Hall, S Hannuna, ...
Designing, Developing, and Facilitating Smart Cities: Urban Design to IoT …, 2017
902017
Designing wearable sensing platforms for healthcare in a residential environment
X Fafoutis, A Vafeas, B Janko, S Sherratt, J Pope, A Elsts, E Mellios, ...
EAI Endorsed Transactions on Pervasive Health and Technology 17 (12), e1, 2017
532017
On predicting the battery lifetime of iot devices: Experiences from the sphere deployments
X Fafoutis, A Elsts, A Vafeas, G Oikonomou, R Piechocki
Proceedings of the 7th international workshop on real-world embedded …, 2018
372018
Energy-efficient, noninvasive water flow sensor
A Vafeas, A Elsts, J Pope, X Fafoutis, G Oikonomou, R Piechocki, ...
2018 IEEE International Conference on Smart Computing (SMARTCOMP), 139-146, 2018
132018
An accelerometer lossless compression algorithm and energy analysis for IoT devices
J Pope, A Vafeas, A Elsts, G Oikonomou, R Piechocki, I Craddock
2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW …, 2018
132018
SPES-2-A Sensing Platform for Maintenance-Free Residential Monitoring.
X Fafoutis, A Elsts, A Vafeas, GC Oikonomou, RJ Piechocki
EWSN, 240-241, 2017
132017
Federated Feature Selection for Horizontal Federated Learning in IoT Networks
X Zhang, A Mavromatics, A Vafeas, R Nejabati, D Simeonidou
IEEE Internet of Things Journal, 2023
112023
Wearable Devices for Digital Health: The SPHERE Wearable 3.
A Vafeas, MI Biswas, X Fafoutis, A Elsts, I Craddock, RJ Piechocki, ...
EWSN, 236-241, 2020
102020
A guide to the sphere 100 homes study dataset
A Elsts, T Burghardt, D Byrne, M Camplani, D Damen, X Fafoutis, ...
arXiv preprint arXiv:1805.11907, 2018
102018
Challenges in the Design and Implementation of IoT Testbeds in Smart-Cities: A Systematic Review
V Kumar, S Gunner, T Spyridopoulos, A Vafeas, J Pope, P Yadav, ...
arXiv preprint arXiv:2302.11009, 2023
62023
Data labelling in the wild: annotating free-living activities and Parkinson's disease symptoms
C Morgan, F Heidarivincheh, I Craddock, R McConville, MP Nieto, ...
2021 IEEE international conference on pervasive computing and communications …, 2021
62021
others Craddock, I. & Oikonomou, G., 6 Dec 2016
P Woznowski, A Burrows, T Diethe, X Fafoutis, J Hall, S Hannuna, ...
Designing, Developing, and Facilitating Smart Cities: Urban Design to IoT …, 2
52
5G enabled Freeports: a conceptual framework
Y Wang, A Potter, M Naim, A Vafeas, A Mavromatis, D Simeonidou
IEEE Access 10, 91871-91887, 2022
42022
Towards a methodology for acceptance testing and validation of monitoring bodyworn devices
EL Tonkin, MP Nieto, H Bi, A Vafeas
2020 IEEE international conference on pervasive computing and communications …, 2020
42020
Resilient and Energy Efficient DU-CU-MEC Deployments for Service Oriented Reliable Next Generation Metro Access Network
H Li, K Assis, A Vafeas, S Yan, D Simeonidou
47th WWRF, 2022
32022
DRL-based energy-efficient baseband function deployments for service-oriented Open RAN
H Li, A Emami, KDR Assis, A Vefeas, R Yang, R Nejabati, S Yan, ...
IEEE Transactions on Green Communications and Networking, 2023
12023
End to end system optimisation of wireless interconnected sensors for healthcare monitoring at homes: advancements in multimodal sensing technology for healthcare in …
AT Vafeas
University of Bristol, 2021
12021
Energy-Efficient Baseband Function Deployments for Service-Oriented Open RAN
H Li, A Emami, K Assis, A Vefeas, R Yang, R Nejabati, S Yan, ...
arXiv preprint arXiv:2212.12055, 2022
2022
Convergence Analysis and Latency Minimization for Semi-Federated Learning in Massive IoT Networks......................
H Li, A Emami, KDR Assis, A Vafeas, R Yang, R Nejabati, S Yan, ...
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