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In this paper, we introduce a new method that explores spatio-temporal-theme correlations between physical and social streaming data for event detection and pattern interpretation from heterogeneous sensors. Particularly, we employ a basic two-phase framework in pattern recognition (i.e. feature extraction and detection) with the novel improvement that concerns the use of semantic information acquired...
People can now receive custom-made information through smartphones, tablets or wearable devices. However, people often tend to miss vital information, even reminders, in the flood of notifications. The problem of finding convenient moments for need-to-know information should be investigated. Because each person's message awareness pattern on a smart medium might be different, the necessity of personalized...
There are many studies regarding the relationships between environmental factors, particularly air pollution, and asthma exacerbation. Most of these studies ignore the potential confounding effects of a sequence of these factors with a specific time lag between them and asthma outbreaks. In this paper we present a new method for identifying consequential relations in the form of complex patterns between...
Humans have always been interested in understanding themselves and their environment. Understanding their relationship with the environment is important to survival as well as thriving in the present situation and planning for the future. With advances in technology, the 21st century has witnessed significant advances in storage, processing, sensing, and communication technologies. All these have...
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