Applied Data Science and Intelligence

Dear Colleagues,

Thanks to the continuous advances in miniaturization, mobile and pervasive computing, as well as networking technologies, huge amounts of data are being rapidly collected about any kind of event and object of interest. However, the existing processing and storage infrastructures are not always capable of handling the high flow of incoming data and generating the required content and services within optimized timeframes. In order to deal with these shortcomings, extensive research and development efforts are deploying emergent technologies (including Big Data, cloud computing, machine learning, Internet of Things, and blockchain) to create appropriate models, processes, storage spaces, and mechanisms for optimized and secure management of data.

This Special Issue solicits innovative contributions from academia and industry on the use of intelligent solutions to support the important field of applied data science. More specifically, solutions based, for example, on multi-agent systems, machine learning, deep learning, and bio-inspired approaches are particularly needed to support data gathering, cleaning, aggregation, storage, processing, querying, visualization, and analytics. They are also needed to enable smooth communications and collaborations between software and hardware entities within a wide range of applications, particularly those relying on IoT and cyberphysical systems (CPSs).

Prof. Dr. Ansar Yasar
Prof. Dr. Nafaa Jabeur
Prof. Dr. Michele Melchiori
Guest Editors

Manuscript Submission Information

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