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Crowdsourcing is a valuable social sensing for the smarter city. We present an approach for classifying crowd sourced feeds from a threefold point of view, namely image, text, and geography. The main idea is to extract feeds within a specific geographic range, and then analyze similarity of image color and text semantic. The approach enables to identify feeds that report the same issue, hence filtering...
We present an ongoing research project, namely Integrated Real-time Mobility Assistant (IRMA). IRMA is a software system that targets the personal mobility in a near future scenario, oriented to green, shared and public transports. IRMA aims to be an extensible, easy-to-implement and sustainable modular platform based on the combined use of multiple information sources (crowd, open, social, and sensor...
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