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Filters: Author is Maurizio Rebaudengo  [Clear All Filters]
2020
M. Hemmatpour, Bartolomeo Montrucchio, Maurizio Rebaudengo and Mohammad Sadoghi. "Analyzing In-Memory NoSQL Landscape." IEEE Transactions on Knowledge and Data Engineering (2020).
2019
M. Hemmatpour, R. Ferrero, Bartolomeo Montrucchio and Maurizio Rebaudengo. "Cost Evaluation of Synchronization Algorithms for Multicore Architectures." In Advanced Methodologies and Technologies in Network Architecture, Mobile Computing, and Data Analytics, edited by F. Gandino. IGI Global, 2019.
M. Hemmatpour, R. Ferrero, Bartolomeo Montrucchio and Maurizio Rebaudengo. "A review on fall prediction and prevention system for personal devices: evaluation and experimental results." Advances in Human-Computer Interaction (2019).
2018
M. Hemmatpour, R. Ferrero, Bartolomeo Montrucchio and Maurizio Rebaudengo. "Data Reduction Techniques for Near Real-Time Decision Making in Fall Prediction Systems." In Big Data Management and the Internet of Things for Improved Health Systems, edited by F. Gandino. IGI Global, 2018.
M. Hemmatpour, R. Ferrero, F. Gandino, Bartolomeo Montrucchio and Maurizio Rebaudengo. "Internet of Things for fall prediction and prevention." Journal of Computational Methods in Sciences and Engineering (2018).
M. Hemmatpour, R. Ferrero, F. Gandino, Bartolomeo Montrucchio and Maurizio Rebaudengo. "Nonlinear predictive threshold model for real-time abnormal gait detection." Journal of healthcare engineering (2018).
2017
M. Hemmatpour, Bartolomeo Montrucchio and Maurizio Rebaudengo. "Communicating efficiently on cluster-based remote direct memory access (RDMA) over infiniband protocol." Applied Sciences (2017).
M. Hemmatpour, Bartolomeo Montrucchio and Maurizio Rebaudengo. DIIG: a distributed industrial IoT gateway In Computer Software and Applications Conference (COMPSAC), Edited by M. Ghazivakili. IEEE, 2017.
M. Hemmatpour, Maurizio Rebaudengo, R. Ferrero and Bartolomeo Montrucchio. A Neural Network Model Based on Co-occurrence Matrix for Fall Prediction In Wireless Mobile Communication and Healthcare. Springer, 2017.
M. Hemmatpour, M. Karimshoushtari, R. Ferrero, Bartolomeo Montrucchio, Maurizio Rebaudengo and C. Novara. Polynomial classification model for real-time fall prediction system In Computer Software and Applications Conference (COMPSAC). IEEE, 2017.
R. Ferrero, M. Hemmatpour, Bartolomeo Montrucchio and Maurizio Rebaudengo. Urban dust monitoring from ground level to last floor In Conference on Mobile Computing and Ubiquitous Network (ICMU), Edited by F. Gandino. IEEE, 2017.
2016
M. Hemmatpour, R. Ferrero, Bartolomeo Montrucchio and Maurizio Rebaudengo. A baseline walking dataset exploiting accelerometer and gyroscope for fall prediction and prevention systems In International Conference on Body Area Networks., 2016.
M. Hemmatpour, R. Ferrero, Bartolomeo Montrucchio and Maurizio Rebaudengo. Eigenwalk: a novel feature for walk classificatio and fall prediction In International Conference on Body Area Networks., 2016.
R. Ferrero, F. Gandino, Bartolomeo Montrucchio and Maurizio Rebaudengo. Exploiting accelerometers to estimate displacement In Mediterranean Conference on Embedded Computing (MECO), Edited by M. Hemmatpour. IEEE, 2016.
M. Hemmatpour, Bartolomeo Montrucchio, Maurizio Rebaudengo and Mohammad Sadoghi. Kanzi: A distributed, in-memory key-value store. ACM Middleware Conference: ACM, 2016.