Congestion on road networks has a negative impact on sustainability in many cities through
the exacerbation of air pollution. Smart congestion management allows road users to avoid …

Context: Software engineering for ubiquitous systems has experienced an important and
rapid growth, however the vast research corpus makes it difficult to obtain valuable …

In recent years, an increasing number of models and algorithms based on time series
prediction and machine learning have been applied to traffic flow prediction, with good …

The COVID19 pandemic has demonstrated a need for remote learning and virtual learning
applications such as virtual reality (VR) and tablet-based solutions. Creating complex …

Edge devices that operate in real-world environments are subjected to unpredictable
conditions caused by environmental forces such as wind and uneven surfaces. Since most …

The increasing usage of cloud computing, along with the proliferation of mobile devices and
the demand for multimedia services, are changing the life style of users and creating new …

There is a need for remote learning and virtual learning applications such as virtual reality
(VR) and tablet-based solutions which the current pandemic has demonstrated. Creating …

Object recognition from live video streams comes with numerous challenges such as the
variation in illumination conditions and poses. Convolutional neural networks (CNNs) have …

With the Internet of Things technology, almost any remote sensing devices, wearables, and
smart objects are equipped to transmit large volumes of data in continuous streams. In …

A smart personal space is a context-aware system that recognizes situations using
contextual data. A user interacts within the personal space using smart devices that are …