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.
This book delves into the characterization, impacts, drivers, and predictability of atmospheric rivers (AR). The chapters help understand how these climate phenomena influence AR behavior, offering a nuanced perspective on climate modeling and prediction.
The two-volume set CCIS 2171 and 2172 constitutes the refereed papers from... Læs mere
This book constitutes the refereed post-conference proceedings of the Second... Læs mere
This book constitutes the refereed post-conference proceedings of the 8th... Læs mere
This book constitutes the refereed proceedings of the 6th Workshop on... Læs mere
This open access book presents a good overview of the current research landscape of assembly, handling and industrial robotics. The objective of MHI Colloquium is the successful networking at both academic and management levels.