7 citations · 21 across the 10 of their papers we have counts for
10 papers
Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation
Emil Njor, Colby Banbury, Xenofon Fafoutis
Tiny machine learning (TinyML) promises to revolutionize fields such as healthcare, environmental monitoring, and industrial maintenance by running machine learning models on low-p…
EdgeMark: An Automation and Benchmarking System for Embedded Artificial Intelligence Tools
Mohammad Amin Hasanpour, Mikkel Kirkegaard, Xenofon Fafoutis
The integration of artificial intelligence (AI) into embedded devices, a paradigm known as embedded artificial intelligence (eAI) or tiny machine learning (TinyML), is transforming…
Wake Vision: A Tailored Dataset and Benchmark Suite for TinyML Computer Vision Applications
Colby Banbury, Emil Njor, Andrea Mattia Garavagno +7
Tiny machine learning (TinyML) co-locates models with sensors on microcontrollers, where small models (which are disproportionately sensitive to label noise) and bespoke binary tas…
HRL-TSCH: A Hierarchical Reinforcement Learning-based TSCH Scheduler for IIoT
F. Fernando Jurado-Lasso, Charalampos Orfanidis, J. F. Jurado +1
The Industrial Internet of Things (IIoT) demands adaptable Networked Embedded Systems (NES) for optimal performance. Combined with recent advances in Artificial Intelligence (AI),…
Data Aware Neural Architecture Search
Emil Njor, Jan Madsen, Xenofon Fafoutis
Neural Architecture Search (NAS) is a popular tool for automatically generating Neural Network (NN) architectures. In early NAS works, these tools typically optimized NN architectu…
Active Connectivity Fundamentals for TSCH Networks of Mobile Robots
Charalampos Orfanidis, Paul Pop, Xenofon Fafoutis
Time Slotted Channel Hopping (TSCH) is a medium access protocol defined in the IEEE 802.15.4 standard which have been proven to be one of the most reliable options when it comes to…
TSCH Evaluation under heterogeneous Mobile Scenarios
Charalampos Orfanidis, Atis Elsts, Paul Pop +1
Time Slotted Channel Hopping (TSCH) is a medium access protocol defined in the IEEE 802.15.4 standard. It has been demonstrated to be one of the most reliable options when it comes…
Robustness analytics to data heterogeneity in edge computing
Jia Qian, Lars Kai Hansen, Xenofon Fafoutis +2
Federated Learning is a framework that jointly trains a model \textit{with} complete knowledge on a remotely placed centralized server, but \textit{without} the requirement of acce…
A Guide to the SPHERE 100 Homes Study Dataset
Atis Elsts, Tilo Burghardt, Dallan Byrne +18
The SPHERE project has developed a multi-modal sensor platform for health and behavior monitoring in residential environments. So far, the SPHERE platform has been deployed for dat…
The SPHERE Challenge: Activity Recognition with Multimodal Sensor Data
Niall Twomey, Tom Diethe, Meelis Kull +8
This paper outlines the Sensor Platform for HEalthcare in Residential Environment (SPHERE) project and details the SPHERE challenge that will take place in conjunction with Europea…