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Titlebook: Context-Aware Systems and Applications, and Nature of Computation and Communication; 9th EAI Internationa Phan Cong Vinh,Abdur Rakib Confer

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Elisabetta Indelicato,Sylvia Boesch this challenging problem. As for river runoff prediction, Deep Belief Network (DBN) and Stacked Autoencoder (SAE) are two kinds of deep neural networks which are commonly used for extracting meaningful features from the data before prediction. In this study, we aim to compare the prediction perform
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https://doi.org/10.1007/978-3-031-38643-5ommunications, etc. And the health - health care [.] sector is not out of this trend. If it is possible to successfully analyze the data [.,.,.] from the huge amount of data of diseases, patients and hospitals every day, it can help a lot of doctors in the process of diagnosis, examination and treat
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https://doi.org/10.1007/978-3-031-39175-0 web service solution for monitoring soil moisture in Lai Chau, a northern province of Vietnam. The system supports a real-time mechanism for data communication with gateway and mobile applications via http-based protocol. It receives structured data packets from the gateway, then makes the visualiz
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https://doi.org/10.1007/978-3-031-39175-0computing and storage resources in a few large data centers, will inevitably lead to excessive network load, end-to-end service latency, and overall power consumption. This leads to the creation of new network architectures that extend computing and storage capabilities to the edge of the network, c
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https://doi.org/10.1007/978-3-031-39175-0gement, managing the spatial evolutionary history of two-dimensional (2D), two-point-five-dimensional (2.5D) and three-dimensional (3D) spatial objects over time and semantics in 3D geographical space is an urgent and extremely important work. This paper proposes a spatial - temporal - semantic data
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https://doi.org/10.1007/978-3-031-39175-0its after-effects and can save countless lives. Over the years, people have been developing the guidelines and processes to cope up with such kinds of hazardous situations. In recent years, situation-awareness has been considered to be the most fascinating approach for the situation assessment and p
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