Connectionists: Call for Papers Special issue on Recent Machine Learning Applications to IoT

[Antonino Staiano]

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Special issue on Recent Machine Learning Applications to IoT, Electronics -
MDPI
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Dear Colleagues,

it was a long time ago that Mark Weiser envisioned a world of small, cheap,
and robust networked processing devices, distributed across human and
natural environments at all scales, to aid our everyday life. Since then,
the technological developments, from nanotechnologies to computation and
communication systems, have converged into what is nowadays known as
Internet of Things (IoT), and made what Weiser envisioned a reality. IoT
has paved the way to a plethora of new application domains, at the same
time posing, however, several challenges as a multitude of devices,
protocols, communication channels, architectures. and middleware exist.
Nevertheless, IoT is growing exponentially in the number and heterogeneity
of actors; indeed, a number between 50 and 100 billion objects are expected
by 2020, and this growth makes “intelligence” a critical turning point for
the success of IoT.
In particular, we are witnessing an incremental development of
interconnections between devices (smartphones, tablets, smartwatches,
fitness trackers and wearable devices in general, smart TVs, home
appliances, and more), people, processes, and data.
Data generated by the devices are becoming big data and call for advanced
learning and data mining techniques to efficiently and effectively
understand, learn, and reason with this amazing volume of information.
Moreover, thanks to the latest results of research on Artificial
Intelligence, applications can count on an “intelligent” network of
billions of sensors “aware” of their operating environment, able to listen,
learn, and respond to offer new services and functionalities in the most
disparate application domains, which guarantee greater security,
simplicity, and reliability.
This Special Issue aims at collecting contributions concerning any use of
intelligent techniques to any IoT aspects related to the IoT domain, from
protocols to applications, to give the reader an up-to-date picture of the
state-of-the-art on the connection between machine learning, computational
intelligence, and IoT.
General topics covered in this Special Issue include but are not limited to
the following methodologies and IoT applications:

Methodologies:

Soft computing (e.g., fuzzy logic, rough sets);
Neural networks;
Neuro-fuzzy systems;
Deep learning;
Evolutionary and bio-inspired algorithms;

Applications:

Machine learning and computational intelligence-aided IoT;
Intelligent middleware solutions IoT;
Brain–computer interface and IoT;
IoT and cloud computing;
Semantic web of things;
Social network IoT;
Internet of vehicles;
Context awareness;
Security and IoT.

Antonino Staiano, University of Naples Parthenope, Italy
Angelo Ciaramella, University of Naples Parthenope, Italy
Guest Editors


Deadline for manuscript submissions: 31 December 2019

Manuscript Submission Information (
https://www.mdpi.com/journal/electronics/special_issues/machine_lot)

Antonino Staiano

Antonino Staiano, PhD
Assistant Professor
Dept. Science and Technology
University of Naples Parthenope, Italy
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