347 citations · 564 across the 11 of their papers we have counts for
12 papers
Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence
Aaqib Saeed, Flora D. Salim, Tanir Ozcelebi +1
Smartphones, wearables, and Internet of Things (IoT) devices produce a wealth of data that cannot be accumulated in a centralized repository for learning supervised models due to p…
Multi-task Self-Supervised Learning for Human Activity Detection
Aaqib Saeed, Tanir Ozcelebi, Johan Lukkien
Deep learning methods are successfully used in applications pertaining to ubiquitous computing, health, and well-being. Specifically, the area of human activity recognition (HAR) i…
Learning behavioral context recognition with multi-stream temporal convolutional networks
Aaqib Saeed, Tanir Ozcelebi, Stojan Trajanovski +1
Smart devices of everyday use (such as smartphones and wearables) are increasingly integrated with sensors that provide immense amounts of information about a person's daily life s…
Adaptive Broadcast Suppression for Trickle-Based Protocols
Thomas M. M. Meyfroyt, Milosh Stolikj, Johan J. Lukkien
Low-power wireless networks play an important role in the Internet of Things. Typically, these networks consist of a very large number of lossy and low-capacity devices, challengin…
Improving the Performance of Trickle-Based Data Dissemination in Low-Power Networks
Milosh Stolikj, Thomas M. M. Meyfroyt, Pieter J. L. Cuijpers +1
Trickle is a polite gossip algorithm for managing communication traffic. It is of particular interest in low-power wireless networks for reducing the amount of control traffic, as…
Proactive Dependability Framework for Smart Environment Applications
Ehsan Ullah Warriach, Tanir Ozcelebi, Johan J. Lukkien
Smart environment applications demand novel solutions for managing quality of services, especially availability and reliability at run-time. The underlying systems are changing dyn…