Smart Cities Machine Learning (242 results)
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Published by Singapore, Springer., 2021
Series: Book 465 of 540 - Advances in Intelligent Systems and Computing
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XVII, 998 p. Softcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Advances in Intelligent Systems and Computing, 1245. Sprache: Englisch….
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Internet of Energy for Smart Cities : Machine Learning Models and Techniques
Jindal, Anish (EDT); Kumar, Neeraj (EDT); Aujla, Gagangeet Singh (EDT)
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Published by Springer International Publishing AG, Cham, 2024
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Hardcover. Condition: new. Hardcover. We present a Machine Learning (ML) approach to monitoring and classifying noise pollution. Both methods of monitoring and classification have been proven successful. MATLAB and Python code was generated to monitor all types of noise pollution from the collected data, while ML was trained to…classify these data. ML algorithms showed promising performance in monitoring the different sound classes such as highways, railways, trains and birds, airports and many more. It is observed that all the data obtained by both methods can be used to control noise pollution levels and for data analytics. They can help decision making and policy making by stakeholders such as municipalities, housing authorities and urban planners in smart cities. The findings indicate that ML can be used effectively in monitoring and measurement. Improvements can be obtained by enhancing the data collection methods. The intention is to develop more ML platforms from which to construct a less noisy. The second objective of this study was to visualize and analyze the data of 18 types of noise pollution that have been collected from 16 different locations in Malaysia. All the collected data were stored in Tableau software. Through the use of both qualitative and quantitative measurements, the data collected for this project was then combined to create a noise map database that can help smart cities make informed decisions. We present a Machine Learning (ML) approach to monitoring and classifying noise pollution. MATLAB and Python code was generated to monitor all types of noise pollution from the collected data, while ML was trained to classify these data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Springer, 2022
Series: Book 172 of 176 - Springer Optimization and Its Applications
- Hardcover
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Internet of Energy for Smart Cities : Machine Learning Models and Techniques
Jindal, Anish (EDT); Kumar, Neeraj (EDT); Aujla, Gagangeet Singh (EDT)
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Published by Springer, 2022
Series: Book 172 of 176 - Springer Optimization and Its Applications
- Hardcover
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- Softcover
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Condition: New. 2024th edition NO-PA16APR2015-KAP.
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Published by Springer, 2023
Series: Book 172 of 176 - Springer Optimization and Its Applications
- Softcover
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Published by Springer, 2022
Series: Book 172 of 176 - Springer Optimization and Its Applications
- Hardcover
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Internet of Energy for Smart Cities : Machine Learning Models and Techniques
Jindal, Anish (EDT); Kumar, Neeraj (EDT); Aujla, Gagangeet Singh (EDT)
- Softcover
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- Softcover
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Internet of Energy for Smart Cities : Machine Learning Models and Techniques
Jindal, Anish (EDT); Kumar, Neeraj (EDT); Aujla, Gagangeet Singh (EDT)
- Softcover
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- Hardcover
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Published by Springer, 2023
Series: Book 172 of 176 - Springer Optimization and Its Applications
- Softcover
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Published by Springer, 2023
Series: Book 172 of 176 - Springer Optimization and Its Applications
- Softcover
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- Softcover
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Taschenbuch. Condition: Neu. Role Of big Data and Machine Learning In Development of Smart Cities | Hiba Iftikhar | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786203924497 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbie…ter: preigu.
Internet of Energy for Smart Cities: Machine Learning Models and Techniques
Jindal, Anish (Editor)/ Kumar, Neeraj (Editor)/ Aujla, Gagangeet Singh (Editor)
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Language: English
Published by Springer Nature Switzerland, Springer Nature Switzerland, 2025
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - We present a Machine Learning (ML) approach to monitoring and classifying noise pollution. Both methods of monitoring and classification have been proven successful. MATLAB and Python code was generated to monitor all types of noise pollution from…the collected data, while ML was trained to classify these data. ML algorithms showed promising performance in monitoring the different sound classes such as highways, railways, trains and birds, airports and many more. It is observed that all the data obtained by both methods can be used to control noise pollution levels and for data analytics. They can help decision making and policy making by stakeholders such as municipalities, housing authorities and urban planners in smart cities. The findings indicate that ML can be used effectively in monitoring and measurement. Improvements can be obtained by enhancing the data collection methods. The intention is to develop more ML platforms from which to construct a less noisy. The second objective of this study was to visualize and analyze the data of 18 types of noise pollution that have been collected from 16 different locations in Malaysia. All the collected data were stored in Tableau software. Through the use of both qualitative and quantitative measurements, the data collected for this project was then combined to create a noise map database that can help smart cities make informed decisions.
Language: English
Published by Springer Nature Switzerland, Springer International Publishing, 2024
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - We present a Machine Learning (ML) approach to monitoring and classifying noise pollution. Both methods of monitoring and classification have been proven successful. MATLAB and Python code was generated to monitor all types of noise pollution from the col…lected data, while ML was trained to classify these data. ML algorithms showed promising performance in monitoring the different sound classes such as highways, railways, trains and birds, airports and many more. It is observed that all the data obtained by both methods can be used to control noise pollution levels and for data analytics. They can help decision making and policy making by stakeholders such as municipalities, housing authorities and urban planners in smart cities. The findings indicate that ML can be used effectively in monitoring and measurement. Improvements can be obtained by enhancing the data collection methods. The intention is to develop more ML platforms from which to construct a less noisy. The second objective of this study was to visualize and analyze the data of 18 types of noise pollution that have been collected from 16 different locations in Malaysia. All the collected data were stored in Tableau software. Through the use of both qualitative and quantitative measurements, the data collected for this project was then combined to create a noise map database that can help smart cities make informed decisions.
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Machine Learning for Environmental Noise Classification in Smart Cities | Ali Othman Albaji | Taschenbuch | Synthesis Lectures on Engineering, Science, and Technology | xvii | Englisch | 2025 | Springer | EAN 9783031546693 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17,…69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
- Softcover
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