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    • External Advisory Board
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    • HPC4AI – Intelligenza Artificiale e Big Data: opportunità e servizi al Politecnico
    • 6th SmartData@Polito Workshop
    • Computing@PoliTO Workshop
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    • Uncertainty damping in the macroscopic forecast of vehicular traffic flow
    • Information Exposure for Consumer IoT Devices: A Multidimensional, Network-Informed Measurement Approach
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    • Courses for PhD students
    • PhD Course: Data Science for Networks
    • Corporate training on Digital Transformation
    • PhD Course: Introduction to Random Matrices – Theory and Practice
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Home » Publications » Predicting critical conditions in bicycle sharing systems

Predicting critical conditions in bicycle sharing systems

Luca Cagliero, Silvia Chiusano, Tania Cerquitelli, Paolo Garza, Xin Xiao (2017) Predicting critical conditions in bicycle sharing systems, In: COMPUTING, pp. 39-57, ISSN: 0010-485X

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