Pervasive systems must offer an open, extensible, and evolving portfolio of services which
integrate sensor data from a diverse range of sources. The core challenge is to provide …

Nowadays, numerous journals and conferences have published articles related to context-
aware systems, indicating many researchers' interest. Therefore, the goal of this paper is to …

Context-awareness is a key to enabling intelligent adaptation in pervasive computing
applications that need to cope with dynamic and uncertain environments. Addressing …

This paper presents an approach to people identification using gait based on floor pressure
data. By using a large area high resolution pressure sensing floor, we were able to obtain …

Many researchers have realized the importance of contextual information and focused on
designing systems that predict user's contextual preferences. In this respect, several …

Causality is the most important topic in the history of western science, and since the
beginning of the statistical paradigm, its meaning has been reconceptualized many times …

Over the past few decades, machine learning has led to substantial changes in Data Fusion
Systems throughout the world. One of the most important application areas for data fusion is …

Contextual information plays a key role in Context-Aware Recommender Systems (CARS).
The rating prediction in CARS focuses on improving recommendation accuracy attempting …

Current mobile devices allow the execution of sophisticated applications with the capacity
for identifying the user situation, which can be helpful in treatments of mental disorders. In …

Context-aware pervasive systems are an important emerging category of software,
increasingly pervading into daily life, play and work. These systems are characterized by …