Inertial measurement units (IMU) are widely used in sports applications to digitise human
motion by measuring acceleration and rotational velocity in three-dimensional space. A …

With the increasing complexity of the electromagnetic environment and continuous
development of radar technology we can expect a large number of modern radars using …

Ataxic gait monitoring and assessment of neurological disorders belong to important
multidisciplinary areas that are supported by digital signal processing methods and machine …

In this study a single wearable inertial measurement unit (IMU) and machine learning
methodologies were used to conduct player level evaluation and classification five prototype …

The monitoring of physical activities and recognition of motion disorders belong to important
diagnostical tools in neurology and rehabilitation. The goal of the present paper is in the …

The recognition of stomatological disorders and the classification of dental caries are
important areas of biomedicine that can hugely benefit from machine learning tools for the …

In this paper, the application of machine learning and deep learning algorithms for fault and
failure detection in maritime systems is examined, specifically focusing on the detection of …

Within the growth of the music stream companies, the need to classify correctly the musics in
their catalogs by genres becomes a really important task. With that, they can suggest songs …

This thesis focuses on the classification and characterization of high intensity transient
signals coming from portable transcranial Doppler (TCD) ultrasound devices. The main …

The emerging Internet of things (IoT) technology facilitates ubiquitous and seamless
connectivity of various objects to provide different services. It is envisioned to incorporate …