Machine Learning for Environmental Noise Classification in Smart Cities
Ali Othman Albaji
Machine Learning for Environmental Noise Classification in Smart Cities
Ali Othman Albaji
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Description
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.
Ali Othman Albaji received a bachelor’s degree in electrical engineering specializing in “General communications” from the Civil Aviation Higher College, Tripoli, Libya, in 2007, and a Master’s degree in electronics and telecommunication engineering from University Technology Malaysia *UTM*, Johor Bahru, Malaysia in 2022. His research interests are Machine Learning (ML), IoT, Wireless Sensor Networks (WSN), VSAT, SCADA Systems, Optical Networking, Wireless Communications, Deep Learning (DL), Artificial intelligence (AI), Web design, Robotics, and Programming Languages expert / Traineron ( Python, MATLAB, JAVA, JAVA Script, SQL, Data Base MSQL, C++, HTML, and....ETC).