| 书目名称 | Machine Learning for Environmental Noise Classification in Smart Cities |
| 编辑 | Ali Othman Albaji |
| 视频video | |
| 概述 | Machine learning-based sound classifier for environmental noise.Qualitative analysis of community perceptions based on a noise pollution survey.Create an interactive web dashboard and data warehousing |
| 丛书名称 | Synthesis Lectures on Engineering, Science, and Technology |
| 图书封面 |  |
| 描述 | .We present a Machine Learning (ML) approach to monitoring and classifying noise pollution. Both methods of monitoring and classificationhave been proven successful. MATLAB and Python code was generated to monitor alltypes 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 datawere stored in Tableau softwa |
| 出版日期 | Book 2024 |
| 关键词 | MATLAB; Machine Learning; PYTHON; Artificial Intelligence; Smart cities; Noise pollution; Urbanity |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-031-54667-9 |
| isbn_softcover | 978-3-031-54669-3 |
| isbn_ebook | 978-3-031-54667-9Series ISSN 2690-0300 Series E-ISSN 2690-0327 |
| issn_series | 2690-0300 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
发表于 2025-3-21 19:05:46
