Edge-to-cloud

Deep learning meets smart agriculture: using LSTM networks to handle anomalous and missing sensor data in the compute continuum

In the era of the Internet of Things (IoT), conventional cloud-based solutions struggle to handle the huge amount, high velocity, and heterogeneity of data generated at the network edge. In this context, the edge-to-cloud compute continuum has …

Evaluating the performance of a multimodal speaker tracking system at the edge-to-cloud continuum

The edge-to-cloud compute continuum has become increasingly popular in recent years for effectively collecting and analyzing data generated by Internet of Things (IoT) devices at the network edge, ensuring low latency, high scalability, and privacy …