The development of Intelligent Transportation System (ITS) has brought about
comprehensive urban traffic information that not only provides convenience to urban …

The big data era has led to an exponential increase in data usage, resulting in significantly
advancements in data-driven domains and data mining. However, due to privacy and …

Acoustic scene classification (ASC) aims to classify an audio clip based on the characteristic
of the recording environment. In this regard, deep learning based approaches have …

In this paper, we show how Federated Learning (FL) can be applied to vehicular use-cases
in which we seek to classify obstacles, irregularities and pavement types on roads. Our …

Data is key for rapid and continuous delivery of customer value. By collecting data from
products in the field, companies in the embedded systems domain can measure and monitor …

Effective collection and use of data is key for companies across domains and it is only
increasing in importance. For companies in the embedded systems domain, data constitutes …

Random forests (RFs) are a versatile choice for many machine learning applications.
Despite their promising efficiency and simplicity, RFs are seldom used in collaborative …

Connected vehicles provide communication and data collection from vehicles, which
enables new technology to enhance system based on usage data. In this paper, we present …