Machine Learning Approach on Traffic Congestion Monitoring System in Internet of Vehicles

Procedia Computer Science ◽

10.1016/j.procs.2020.04.241 ◽

2020 ◽

Vol 171 ◽

pp. 2235-2241 ◽

Cited By ~ 3

Author(s):

Shridevi Jeevan Kamble ◽

Manjunath R Kounte

Keyword(s):

Machine Learning ◽

Monitoring System ◽

Traffic Congestion ◽

Learning Approach ◽

Internet Of Vehicles ◽

Machine Learning Approach

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Tyre Pressure Monitoring System - Machine Learning Approach

Recent Patents on Signal Processinge ◽

10.2174/2210686305666150825222210 ◽

2015 ◽

Vol 4 (2) ◽

pp. 84-93

Author(s):

Hemanth Praveen ◽

Vaithianathan Sugumaran

Keyword(s):

Machine Learning ◽

Monitoring System ◽

Learning Approach ◽

Pressure Monitoring ◽

Tyre Pressure ◽

Tyre Pressure Monitoring System ◽

Tyre Pressure Monitoring ◽

Machine Learning Approach

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Vibration based real time brake health monitoring system – A machine learning approach

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/624/1/012027 ◽

2019 ◽

Vol 624 ◽

pp. 012027 ◽

Cited By ~ 1

Author(s):

T M Alamelu Manghai ◽

R Jegadeeshwaran

Keyword(s):

Machine Learning ◽

Real Time ◽

Monitoring System ◽

Health Monitoring ◽

Learning Approach ◽

Health Monitoring System ◽

System A ◽

Machine Learning Approach

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Pylon Anti-Vandalism Monitoring System using Machine Learning Approach

2020 IEEE PES/IAS PowerAfrica ◽

10.1109/powerafrica49420.2020.9219946 ◽

2020 ◽

Author(s):

Mary Ahuna ◽

Alex Muumbo ◽

Jack McLean

Keyword(s):

Machine Learning ◽

Monitoring System ◽

Learning Approach ◽

Machine Learning Approach

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Automatic frog call monitoring system: a machine learning approach

10.1117/12.458716 ◽

2002 ◽

Cited By ~ 5

Author(s):

Gary G. Yen ◽

Qiang Fu

Keyword(s):

Machine Learning ◽

Monitoring System ◽

Learning Approach ◽

System A ◽

Machine Learning Approach ◽

Call Monitoring

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Indirect Tire Monitoring System - Machine Learning Approach

IOP Conference Series Materials Science and Engineering ◽

10.1088/1757-899x/252/1/012018 ◽

2017 ◽

Vol 252 ◽

pp. 012018 ◽

Cited By ~ 3

Author(s):

O Svensson ◽

S Thelin ◽

S Byttner ◽

Y Fan

Keyword(s):

Machine Learning ◽

Monitoring System ◽

Learning Approach ◽

Machine Learning Approach

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Real Time Water Treatment Plant Monitoring System using IOT and Machine Learning Approach

10.1109/icdi3c53598.2021.00064 ◽

2021 ◽

Author(s):

S J Sugumar ◽

Sahana R ◽

Saketh Phadke ◽

Sameer Prasad ◽

Srilakshmi G R

Keyword(s):

Machine Learning ◽

Water Treatment ◽

Real Time ◽

Monitoring System ◽

Treatment Plant ◽

Water Treatment Plant ◽

Learning Approach ◽

Machine Learning Approach ◽

Plant Monitoring

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Design and Development Methodology for Healthcare Monitoring System based on IoT and Machine Learning Approach

SSRN Electronic Journal ◽

10.2139/ssrn.3611499 ◽

2020 ◽

Author(s):

Sourav Kumar Dubey ◽

Shubham Kumar Tiwari ◽

Shweta Rani Pushpa ◽

Sunil Kumar Gouda ◽

Vijay Hansda ◽

...

Keyword(s):

Machine Learning ◽

Monitoring System ◽

Learning Approach ◽

Design And Development ◽

Development Methodology ◽

Machine Learning Approach ◽

Healthcare Monitoring

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AutiLife: A Healthcare Monitoring System for Autism Center in 5G Cellular Network using Machine Learning Approach

2019 IEEE 17th International Conference on Industrial Informatics (INDIN) ◽

10.1109/indin41052.2019.8972179 ◽

2019 ◽

Author(s):

Md. Ibrahim Mamun ◽

Afroza Rahman ◽

Md. Abdul Khaleque ◽

Md. Abdul Hamid ◽

M. F. Mridha

Keyword(s):

Machine Learning ◽

Monitoring System ◽

Cellular Network ◽

Learning Approach ◽

Machine Learning Approach ◽

Healthcare Monitoring

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Machine Learning Approach for Predicting COVID-19 Suspect Using Non-contact Vital Signs Monitoring System by RGB Camera

10.1007/978-981-16-2102-4_43 ◽

2021 ◽

pp. 465-473

Author(s):

Maliha Hassan ◽

Jannat Binta Alam ◽

Arpa Datta ◽

Anika Thasin Mim ◽

Md Naimul Islam

Keyword(s):

Machine Learning ◽

Monitoring System ◽

Vital Signs ◽

Learning Approach ◽

Vital Signs Monitoring ◽

Machine Learning Approach

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The monitoring system of Business support system with emergency prediction based on machine learning approach

2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS) ◽

10.1109/apnoms.2016.7737239 ◽

2016 ◽

Cited By ~ 4

Author(s):

Jen-Hao Chen ◽

Chao-Wen Huang ◽

Chien-Wei Cheng

Keyword(s):

Machine Learning ◽

Monitoring System ◽

Support System ◽

Learning Approach ◽

Machine Learning Approach ◽

Business Support

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