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Workshop on Machine Learning in Smart Mobility
2020The workshop on Machine Learning in Smart Mobility (MLSM) was co-located with the 21st International Conference on Intelligent Data Engineering and Automated Learning—IDEAL 2020, held online on November 4–6.
Sara Ferreira +2 more
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Business Scenarios for Machine-to-Machine Mobile Applications
2010 Ninth International Conference on Mobile Business and 2010 Ninth Global Mobility Roundtable (ICMB-GMR), 2010M2M communications are capturing the attention of many stakeholders from application developers to mobile operators. Recent initiatives of the GSMA and of mobile operators show their interest in finding new sources of revenue through the adoption of wireless connectivity in a wide range of devices.
Da Silva Gonçalves, Vânia Guiomar +1 more
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Inter-cloud mobility of virtual machines
Proceedings of the 4th Annual International Conference on Systems and Storage, 2011Cloud computing is increasingly gaining inroads among a variety of organizational users. As clouds are introduced for use by enterprises, service providers, and governmental and educational entities, new challenges related to the interconnection between such clouds emerge.
Kenneth Nagin +6 more
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Industrial Vehicle Technology International, 2019
OFF-HIGHWAY OEMs ARE FINDING BENEFITS IN OUTSOURCING THE TASK OF MEETING THE EUROPEAN MACHINERY DIRECTIVE REQUIREMENTS ON SAFETY
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OFF-HIGHWAY OEMs ARE FINDING BENEFITS IN OUTSOURCING THE TASK OF MEETING THE EUROPEAN MACHINERY DIRECTIVE REQUIREMENTS ON SAFETY
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Mobile Computers as Scientific Computing Machines
2014 IEEE Intl Conf on High Performance Computing and Communications, 2014 IEEE 6th Intl Symp on Cyberspace Safety and Security, 2014 IEEE 11th Intl Conf on Embedded Software and Syst (HPCC,CSS,ICESS), 2014As pervasive mobile computing becomes more of areality the question arises whether a mobile device such as atablet can be sufficient to serve as the sole personal computingdevice of a scientist. To this end the performance of an Androidbased tablet computer is compared to that of a Notebook.
W. A. Smit, Ben M. Herbst
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2014
A new partnership model leverages the world’s largest interconnected industry to help break cycles of poverty.
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A new partnership model leverages the world’s largest interconnected industry to help break cycles of poverty.
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Multimodal machine learning for intelligent mobility
2020Scientific problems are solved by finding the optimal solution for a specific task. Some problems can be solved analytically while other problems are solved using data driven methods. The use of digital technologies to improve the transportation of people and goods, which is referred to as intelligent mobility, is one of the principal beneficiaries of ...
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Mobility characterization for autonomous mobile robots using machine learning
Autonomous Robots, 2011This paper presents a supervised learning approach to improving the autonomous mobility of wheeled robots through sensing the robot's interaction with terrain `underfoot.' Mobility characterization is cast as a hierarchical task, in which pre-immobilization detection is achieved using support vector machines in time to prevent full immobilization, and ...
Eric Trautmann, Laura E. Ray
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A Study on Networking Functionalities and Challenges for Machine-to-Machine Mobile Networks
2017 IEEE 86th Vehicular Technology Conference (VTC-Fall), 2017With the assistance of wireless and Internet technologies, the Machine-to-Machine (M2M) devices are connected to the application servers to perform collaborative tasks and provide various applications with little or no human intervention. Based on a general network architecture summarized from the proposals of the 3rd Generation Partnership Project ...
Yeh-Cheng Lin, Chia-Peng Lee, Phone Lin
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Mobility Control for Machine-to-Machine in LTE Systems with Cooperative Relaying
Wireless Personal Communications, 2015In this paper, we propose a solution that would guarantee the quality of service (QoS) for machine-to-machine (M2M) communications in all cell regions and power zones of long term evolution networks. To avoid the negative effect of the co-channel interference at M2M devices at the cell edge, we propose a mobility control (MC) scheme based on ...
Abdelhalim Najjar, Noureddine Hamdi
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