This paper gives a review of the recent developments in deep learning and unsupervised
feature learning for time-series problems. While these techniques have shown promise for …

This paper provides a review of the most recent works in electronic noses used in the food
industry. Focus is placed on the applications within food quality monitoring that is, meat, milk, …

: The past few years have witnessed an increase in the development of wearable sensors
for health monitoring systems. This increase has been due to several factors such as …

Internet addiction is “an individual’s inability to control their Internet use, which in turn leads
to feelings of distress and functional impairment of daily activities” [Shapira, N., Lessig, M., …

This study reports the results of a meta-analysis of empirical studies on Internet addiction
published in academic journals for the period 1996–2006. The analysis showed that previous …

Mobile robotic telepresence (MRP) systems incorporate video conferencing equipment onto
mobile robot devices which can be steered from remote locations. These systems, which are …

The availability of high-resolution remote sensing (HRRS) data has opened up the possibility
for new interesting applications, such as per-pixel classification of individual objects in …

Most attempts at training computers for the difficult and time-consuming task of sleep stage
classification involve a feature extraction step. Due to the complexity of multimodal sleep data…

Background.—Health care providers frequently cite concerns about cardiovascular safety of
the triptans as a barrier to their use. In 2002, the American Headache Society convened the …

Airborne chemical sensing with mobile robots has been an active research area since the
beginning of the 1990s. This article presents a review of research work in this field, including …