Real-world data streams pose a unique challenge to the implementation of machine
learning (ML) models and data analysis. A notable problem that has been introduced by the …

The proliferation of the Internet of Things (IoT), artificial intelligence (AI), the adoption of 5G,
and progress towards 6G technology have led to the accumulation of massive amounts of …

Today we create and collect more data than we have in the past. All this data comes from
different sources, including social media platforms, our phones and computers, healthcare …

Each sector of the digital world generates enormous data as human life continues to
transform. Areas like data analytics, data science, knowledge discovery in databases (KDD) …

The smart city has become a persistent need and is no longer just a concept. The concept of
smart cities heavily relies on collecting enormous amounts of data. This paper proposes a …

Application domains like big data and IoT require a lot of user data collected and analyzed
to extract useful information, and those data might include user's sensitive and personal …

The monitoring of physical and logical networks is essential for the high availability of 5G/6G
networks. This could become a challenge in 5G/6G deployments due to the heterogeneity of …

Recently the energy sector undergoes a rapid transformation that revolves around
digitalization, decentralization and democratization. This is because global energy crisis …

Abstract Smart Border Control (SBC) technologies became a hot topic in recent years when
the European Union (EU) Commission announced the Smart Borders Package to improve …

An interesting and innovative activity in Collective Intelligence systems is Sentiment Analysis
(SA) which, starting from users' feedback, aims to identify their opinion about a specific …