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Tibor Szkaliczki
eHealth services require continuous data streaming and a stable level of quality of service. However, wireless network connections can be characterized by variable bandwidths. This requires continuous adaptation of systems, including adapting the bit rat...
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Mudassir M. Rashid, Mohammad Reza Askari, Canyu Chen, Yueqing Liang, Kai Shu and Ali Cinar
Artificial intelligence (AI) algorithms can provide actionable insights for clinical decision-making and managing chronic diseases. The treatment and management of complex chronic diseases, such as diabetes, stands to benefit from novel AI algorithms ana...
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Lei Wang, Chenguang Wang and Huabing Wang
In order to accelerate the execution of streaming applications on multi-core systems, this article studies the scheduling problem of synchronous data flow graphs (SDFG) on homogeneous multi-core systems. To describe the data flow computation process, we ...
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R.A. Elchenkov,M.E. Dunaev,K.S. Zaytsev
Pág. 62 - 69
The purpose of this work is to study methods for predicting the values of time series when processing streaming data in distributed systems in real time. To do this, the authors propose a modification of the autoregressive model with a given AR order by ...
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Paolo Pellizzoni, Andrea Pietracaprina and Geppino Pucci
Metric k-center clustering is a fundamental unsupervised learning primitive. Although widely used, this primitive is heavily affected by noise in the data, so a more sensible variant seeks for the best solution that disregards a given number z of points ...
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