CLARA: Cloud Learning Autonomous Reacting Algorithms, a Machine Learning Service for the Internet of Things

The article deals with the СoAP Protocol that regulates the transmission and reception of information traf-fic by terminal devices in IoT networks. The article describes a model for detecting abnormal traffic in 5G/IoT networks using machine learning algorithms, as well as the main methods for solving this prob-lem. The relevance of the article is due to the wide spread of the Internet of things and the upcoming update of mobile networks to the 5g generation.

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Understanding and personalising smart city services using machine learning, The Internet-of-Things and Big Data

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE) ◽

10.1109/isie.2017.8001570 ◽

2017 ◽

Cited By ~ 17

Author(s):

Jeannette Chin ◽

Vic Callaghan ◽

Ivan Lam

Keyword(s):

Machine Learning ◽

Big Data ◽

Internet Of Things ◽

Smart City ◽

The Internet ◽

The Internet Of Things

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Early Botnet Detection for the Internet and the Internet of Things by Autonomous Machine Learning

2020 16th International Conference on Mobility, Sensing and Networking (MSN) ◽

10.1109/msn50589.2020.00087 ◽

2020 ◽

Author(s):

Anderson Bergamini de Neira ◽

Alex Medeiros Araujo ◽

Michele Nogueira

Keyword(s):

Machine Learning ◽

Internet Of Things ◽

The Internet ◽

Botnet Detection ◽

Autonomous Machine ◽

The Internet Of Things

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IMPROVING INTERNET OF THINGS PARKING SYSTEMS

Facta Universitatis Series Automatic Control and Robotics ◽

10.22190/fuacr2003163b ◽

2021 ◽

Vol 19 (3) ◽

pp. 163

Author(s):

Dušan Bogićević

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Cloud Computing ◽

Internet Of Things ◽

Information Needs ◽

Vehicle Classification ◽

The Internet ◽

Parking Space ◽

Automated Systems ◽

The Internet Of Things

Edge data processing represents the new evolution of the Internet and Cloud computing. Its application to the Internet of Things (IoT) is a step towards faster processing of information from sensors for better performance. In automated systems, we have a large number of sensors, whose information needs to be processed in the shortest possible time and acted upon. The paper describes the possibility of applying Artificial Intelligence on Edge devices using the example of finding a parking space for a vehicle, and directing it based on the segment the vehicle belongs to. Algorithm of Machine Learning is used for vehicle classification, which is based on vehicle dimensions.

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The Symbiosis of Distributed Ledger and Machine Learning as a Relevance for Autonomy in the Internet of Things

Proceedings of the 52nd Hawaii International Conference on System Sciences ◽

10.24251/hicss.2019.559 ◽

2019 ◽

Author(s):

Daniel Burkhardt ◽

Patrick Frey ◽

Heiner Lasi

Keyword(s):

Machine Learning ◽

Internet Of Things ◽

The Internet ◽

Distributed Ledger ◽

The Internet Of Things

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Mobile Multi-agent Systems for the Internet-of-Things and Clouds Using the JavaScript Agent Machine Platform and Machine Learning as a Service

2016 IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud) ◽

10.1109/ficloud.2016.43 ◽

2016 ◽

Cited By ~ 12

Author(s):

Stefan Bosse

Keyword(s):

Machine Learning ◽

Internet Of Things ◽

The Internet ◽

Multi Agent Systems ◽

Agent Systems ◽

Multi Agent ◽

The Internet Of Things

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Current Trends in Integrating the Internet of Things Into Software Engineering Practices

Research Anthology on Artificial Intelligence Applications in Security ◽

10.4018/978-1-7998-7705-9.ch020 ◽

2021 ◽

pp. 413-428

Author(s):

S. Kavitha ◽

J. V. Anchitaalagammai ◽

S. Nirmala ◽

S. Murali

Keyword(s):

Machine Learning ◽

Software Engineering ◽

Internet Of Things ◽

The Internet ◽

Infrastructure Management ◽

Integration Testing ◽

Current Trends ◽

Software Construction ◽

Engineering Practices ◽

The Internet Of Things

The chapter summarizes the concepts and challenges of DevOps in IoT, DevSecOps in IoT, integrating security into IoT, machine learning and AI in IoT of software engineering practices. DevOps is a software engineering culture and practice that aims at unifying software development (Dev) and software operation (Ops). The main characteristic of DevOps is the automation and monitoring at all steps of software construction, from integration, testing, releasing to deployment and infrastructure management. DevSecOps is a practice of integrating security into every aspect of an application lifecycle from design to development.

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Emerging Technologies and Universities

Advances in Educational Marketing, Administration, and Leadership - Improving University Reputation Through Academic Digital Branding ◽

10.4018/978-1-7998-4930-8.ch007 ◽

2021 ◽

pp. 97-114

Author(s):

Fausto E. Jacome

Keyword(s):

Machine Learning ◽

Internet Of Things ◽

New Technologies ◽

Emerging Technologies ◽

The Internet ◽

New Paradigm ◽

New Era ◽

Technological Revolution ◽

Goods And Services ◽

The Internet Of Things

Emerging technologies such as machine learning, the cloud, the internet of things (IoT), social web, mobility, robotics, and blockchain, among others, are powering a technological revolution in such a way that are transforming all human activities. These new technologies have generated creative ways of offering goods and services. Today's consumers demand in addition to quality, innovation, a real-time and ubiquitous service. In this context, what is the challenge that academy faces? What is the effect of these new technologies on the universities mission? What are people's expectations about academy in this new era? This chapter tries to get answers to these questions and explain how these emerging technologies are converting universities to lead society transformation to the digital age. Under this new paradigm, there are only two roads: innovate or perish. As might be expected universities are embracing these technologies for innovating themselves.

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