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Machine‐to‐machine communications via airliners

Transactions on Emerging Telecommunications Technologies, 2013
ABSTRACTWithin this article, a new concept for machine‐to‐machine communications infrastructure via airliners is presented. The main principles and resulting challenges are described, together with a first study on possible coverage within Europe and North America using airliners that endorses the concept's feasibility.
Plass, Simon   +4 more
openaire   +2 more sources

Machine Learning Algorithms: A Review

International Journal of Science and Research (IJSR), 2022
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Ayon Dey
semanticscholar   +1 more source

Scikit-learn: Machine Learning in Python

Journal of machine learning research, 2011
Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems.
Fabian Pedregosa   +16 more
semanticscholar   +1 more source

Global Wireless Machine-to-Machine Standardization

IEEE Internet Computing, 2011
Machine-to-machine (M2M) communications are gaining more prominence in wireless communication. However, the current systems are optimized more for human-to-human (H2H) than M2M communications. Therefore it's important that wireless technologies evolve and develop competitive capabilities to efficiently support M2M communications.
null Kim Chang   +3 more
openaire   +1 more source

Context-aware Machine-to-Machine communications

2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2014
As a key enabler of Internet of things, cellular network based Machine-to-Machine (M2M) communications have been growing rapidly in recent years, being used in a wide range of services such as security, metering, health, remote control, tracking, and so on. A critical issue in M2M communications is the energy efficiency as typically the machine devices
Javier Mendonca Costa, Guowang Miao
openaire   +1 more source

Machine-To-Machine Communication

2015
Die zunehmende Digitalisierung stellt unsere Gesellschaft vor Herausforderungen und bietet zugleich eine Unmenge an Chancen. Sowohl Mensch als auch Maschine produzieren heutzutage eine grose Anzahl an Daten, die bisher noch ungenutzt und nicht miteinander verbunden sind.
Thomas Knoll   +2 more
openaire   +1 more source

Communication in machine-to-machine environments

Proceedings of the Fifth Balkan Conference in Informatics, 2012
It has been estimated that by the end of 2020 there will be 50 billion connected devices in Machine-to-Machine (M2M) networks. Such projections should encourage us to deal with the corresponding problems in heterogeneous M2M systems. First of all, devices can communicate through different access technologies (e.g.
Dešić, Saša   +5 more
openaire   +3 more sources

Machine-to-Machine Interfaces

2016
How do Cognitive Things communicate with each other? What are the options and trade-offs?How would Cognitive Things develop trusted relationships? How would they recognize and protect themselves from fraudulent and malicious attacks?How is the information processed by Cognitive Things governed?
openaire   +1 more source

Adopting wireless machine-to-machine technology

Computing and Control Engineering, 2004
Successful adoption of machine-to-machine (M2M) technology requires a strategic approach to ensure that the technical solution is balanced with the business case to demonstrate an early return on investment. Simple solutions work best where the technology can be proven quickly and the benefits easily understood.
openaire   +1 more source

Engineering Machine-to-Machine Traffic in 5G

IEEE Internet of Things Journal, 2016
Machine to machine (M2M) traffic is characterized as low-rate, small-packet traffic with correlated transmissions. In this paper, we propose a two-phase traffic control mechanism (2PTC) for carrying M2M traffic in the future fifth generation (5G) networks.
Xu Li, Jaya B. Rao, Hang Zhang
openaire   +1 more source

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