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