In the past three decades, breakthroughs in satellites and remote sensing have highly
demonstrated their potential to characterize and model the various components of the …

Zusammenfassung Hintergrund: Teledermatologische Anwendungen werden im deutschen
Versorgungssystem in den nächsten Jahren erheblich an Bedeutung gewinnen. Das …

This paper describes the discipline of distance metric learning, a branch of machine learning
that aims to learn distances from the data. Distance metric learning can be useful to improve …

Internet of vehicles (IoV) is an improved version of internet of things to resolve a number of
issues in urban traffic environment. In this paper IoV technology is used to select the best …

Digitalization is one of the key concepts of recent years due to its largescale impact on the
socio-economic conditions of society development. One of the main issues of digitalization is …

Big Data is dominating the landscape as data originated in many sources keeps piling up.
Information Technology (IT) business companies are making tremendous efforts to keep the …

With the rapid development of big data technology, the requirement of data processing
capacity and efficiency result in failure of a number of legacy security technologies …

The case study, spanning three contexts, concerns a multi-usable cloud service platform for
big data collection and analytics and how the development pace and efficiency of it has …

Introduction: For the past decade, the focus of complex disease research has been the
genotype. From technological advancements to the development of analysis methods, great …

Cloud computing is a developing technology that is yet unclear to many security issues.
Data in the untrusted clouds can be encrypted using encryption algorithm. Randomizing this …