Remote sensing (RS) plays an important role gathering data in many critical domains (eg,
global climate change, risk assessment and vulnerability reduction of natural hazards …

Most machine learning proposals in the Internet of Things (IoT) are designed and evaluated
on preprocessed data sets, where data acquisition and cleaning steps are often considered …

A two‐stream remote sensing image fusion network (RCAMTFNet) based on the residual
channel attention mechanism is proposed by introducing the residual channel attention …

Aim. In order to effectively integrate and rationally allocate the complex information flow of
people, finance, and materials in the daily operation of the enterprise and improve the daily …

Time-varying JSON data are being used and exchanged in various today's application
frameworks like IoT platforms, Web services, cloud computing, online social networks, and …

In this thesis, we introduce a novel distributed version of the N-FINDR endmember extraction
algorithm, which is able to exploit computer cluster resources in order to efficiently process …

Most machine learning (ML) proposals in the Internet of Things (IoT) space are designed
and evaluated on pre-processed datasets, where the data acquisition and cleaning steps …

In this thesis, we introduce a novel distributed version of the N-FINDR endmember extraction
algorithm, which is able to exploit computer cluster resources in order to efficiently process …