… In combination with smart diagnostics and wearables, such smart infrastructures could help
older patients in particular to live independently longer than before in their own homes and …

… Machines) algorithm for its low energy consuming compared to other machine learning …
As a use case, we are interested in smart hospital infrastructures. Such hospitals have a wide …

… To keep pace with the growing amounts of complex data, smart hospital approaches are a …
provide a necessary infrastructure, and the application of machine learning to network metrics …

… Nevertheless, critical healthcare infrastructure requires more robust architectures for higher
accuracy, availability and real-time responses. So, here is the need for advanced cloud …

… In this paper, an architectural IoT model is used using a machine learning approach for
the smart … Consequently, the safe, smart healthcare infrastructure was identified as a high-priority …

… When combined with AI, the result is an intelligent machine that can be taught to undertake
… in artificial intelligence and machine learning to strengthen medical infrastructure. We are …

… to cities is creating enormous pressure on the city infrastructure [4]. … of smart healthcare
support using DM and machine learning (ML). We demonstrate the use of DM in smart healthcare …

… field [2] and specifically on smart hospital infrastructures. In such infrastructures, sensors are
… Other existing machine learning algorithms can handle the anomaly detection but this work …

… deep learning techniques for big data analysis in multiple domains. Authors in [17] studied
the latest machine learning … edge-enabled computing infrastructure, and network management…

… To overcome this issue, we propose a machine learning solution … healthcare sector is facing
is the poor infrastructure, where for every 90 000 citizens there is only one state-run hospital […