Abstract Machine learning technology is a prominent research field aiming to build a system
which imitates human intelligence. Machine learning can be applied in the healthcare …

In the recent past, we have witnessed the adoption of different machine learning techniques
for indoor positioning applications using WiFi, Bluetooth and other technologies. The …

Condition monitoring together with predictive maintenance of electric motors and other
equipment used by the industry avoids severe economic losses resulting from unexpected …

Internet-of-Things (IoT) devices generate a vast amount of sensing data. The reliability of this
data is a vital issue to ensure IoT service quality. However, IoT data usually suffers from …

Abstract Machine learning (ML) has the potential to take on a variety of routine and non-
routine tasks in brick-and-mortar retail and e-commerce. Many tasks previously executed …

In retail environments, understanding how shoppers move about in a store's spaces and
interact with products is very valuable. While the retail environment has several favourable …

Autonomous systems for monitoring and surveying are increasingly used in retail stores,
since they improve the overall performance of the store and reduce the manpower cost …

In this paper, we present a system for socially aware robot navigation for a wide range of
service tasks in supermarkets. It comprises modules for real-time person detection and …

Recognizing packaged grocery products based solely on appearance is still an open issue
for modern computer vision systems due to peculiar challenges. Firstly, the number of …

Detecting and tracking people is a challenging task in a persistent crowded environment (ie
retail, airport, station, etc.) for human behaviour analysis of security purposes. This paper …