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Traffic Monitoring | Open Access Journals

Advances in Robotics & Automation

ISSN: 2168-9695

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Traffic Monitoring

Network traffic monitoring is the way toward assessing, breaking down and overseeing system traffic for any variation from the norm or procedure that can influence organize execution, accessibility or potentially security. There are a few unique sorts of traffic sensors accessible, yet three over the ground types have gotten progressively regular lately: radar, dynamic infrared and laser radar. The present innovation permits every one of these gadgets to screen a few paths of traffic at once.

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Conference Proceedings

An assessment of the effects of varying martensite layer depth on the mechanical properties of quenched and self-tempered steel rebars
Saad Al-Motham
Posters & Accepted Abstracts: Journal of Civil and Environmental Engineering
An assessment of the effects of varying martensite layer depth on the mechanical properties of quenched and self-tempered steel rebars
Saad Al-Motham
Posters & Accepted Abstracts: Journal of Civil and Environmental Engineering
Design analysis of structures for residential light steel framing systems
Amarildo V Moreira
Posters & Accepted Abstracts: Journal of Civil and Environmental Engineering
Design analysis of structures for residential light steel framing systems
Amarildo V Moreira
Posters & Accepted Abstracts: Journal of Civil and Environmental Engineering
Carbon nanostructure modified lifepo4 cathodes for lithium ion battery applications
Lama Mahmoud
Posters & Accepted Abstracts: Journal of Material Sciences & Engineering
Carbon nanostructure modified lifepo4 cathodes for lithium ion battery applications
Lama Mahmoud
Posters & Accepted Abstracts: Journal of Material Sciences & Engineering
Impact of Brooks-Iyengar distributed sensor network algorithm for the next decade
S S Iyengar
: International Journal of Sensor Networks and Data Communications
Impact of Brooks-Iyengar distributed sensor network algorithm for the next decade
S S Iyengar
: International Journal of Sensor Networks and Data Communications
Development of a radial basis function neural network for the recognition of common phases present in carbon steel metallographs
Sara E. McCaslin and Adarsh Kesireddy
Scientific Tracks Abstracts: Journal of Material Sciences & Engineering
Development of a radial basis function neural network for the recognition of common phases present in carbon steel metallographs
Sara E. McCaslin and Adarsh Kesireddy
Scientific Tracks Abstracts: Journal of Material Sciences & Engineering

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Citations: 1275

Advances in Robotics & Automation received 1275 citations as per Google Scholar report

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