Machine Learning in Python for Visual and Acoustic Data based Process Monitoring

This book PDF is perfect for those who love Computers genre, written by Ankur Kumar and published by MLforPSE which was released on 24 April 2024 with total hardcover pages 69. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Machine Learning in Python for Visual and Acoustic Data based Process Monitoring books below.

Machine Learning in Python for Visual and Acoustic Data based Process Monitoring
Machine Learning in Python for Visual and Acoustic Data based Process Monitoring
Author : Ankur Kumar
File Size : 50,5 Mb
Publisher : MLforPSE
Language : English
Release Date : 24 April 2024
ISBN : 978186723xxxx
Pages : 69 pages
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Machine Learning in Python for Visual and Acoustic Data based Process Monitoring by Ankur Kumar Book PDF Summary

This book is designed to help readers gain quick familiarity with deep learning-based computer vision and abnormal equipment sound detection techniques. The book helps you take your first step towards learning how to use convolutional neural networks (the ANN architecture that is behind the modern revolution in computer vision) and build image sensor-based manufacturing defect detection solutions. A quick introduction is also provided to how modern predictive maintenance solutions can be built for process critical equipment by analyzing the sound generated by the equipment. Overall, this short eBook sets the foundation with which budding process data scientists can confidently navigate the world of modern computer vision and acoustic monitoring.

Machine Learning in Python for Visual and Acoustic Data based Process Monitoring

Machine Learning in Python for Visual and Acoustic Data based Process Monitoring by Ankur Kumar

This book is designed to help readers gain quick familiarity with deep learning-based computer vision and abnormal equipment sound detection techniques. The book helps you take your first step towards learning how to use convolutional neural networks (the ANN architecture that is behind the modern revolution in computer vision) and

Get Book
Machine Learning in Python for Process and Equipment Condition Monitoring and Predictive Maintenance

Machine Learning in Python for Process and Equipment Condition Monitoring and Predictive Maintenance by Ankur Kumar,Jesus Flores-Cerrillo

This book is designed to help readers quickly gain a working knowledge of machine learning-based techniques that are widely employed for building equipment condition monitoring, plantwide monitoring , and predictive maintenance solutions in process industry . The book covers a broad spectrum of techniques ranging from univariate control charts to deep learning-based

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This unique text/reference describes in detail the latest advances in unsupervised process monitoring and fault diagnosis with machine learning methods. Abundant case studies throughout the text demonstrate the efficacy of each method in real-world settings. The broad coverage examines such cutting-edge topics as the use of information theory to

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Machine Learning in Python for Dynamic Process Systems

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