Deep learning is a new area of machine learning research. Deep learning technology
applies the nonlinear and advanced transformation of model abstraction into a large …

Automated driving requires correct perception of the surrounding environment in any driving
condition. To achieve this result, not only are many more sensors than in current Advanced …

AI has become deeply ingrained in the everyday life. The matter in question does not only
touch upon the mobile phones that almost everyone carries within easy reach. Today, voice …

Waste management researchers have identified that the correct disposal of solid waste is
better addressed upstream, where people properly sort their solid waste. Sorting solid waste …

Edge-based technologies have emerged as a key enabler to empower low-latency services
and incorporate machine learning techniques for learning/inference. However, transferring …

In the attempt to mitigate the effects of COVID-19 lockdown, most countries have recently
authorized and promoted the adoption of e-learning and remote teaching technologies …

During social interactions, people often unintentionally mimic each other's behaviors, which
can occur at the motor level (eg smiles or head movements), and the autonomic level (eg …

Enabling a flexible and natural human-robot interaction (HRI) for industrial robots is a critical
yet challenging task that can be facilitated by the use of conversational artificial intelligence …

Providers of patient care environments are facing an increasing demand for technological
solutions that can facilitate increased patient satisfaction while being cost effective and …

In Industrial Internet of Things (IoT) applications, when the network size increases and
different types of flows share the bandwidth, the demand for flexible and efficient …