Empowering Laser Technology With Machine Learning - Bookswagon
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Home > Mathematics and Science Textbooks > Physics > Optical physics > Empowering Laser Technology With Machine Learning: Machine Learning Insight Into The Future of Laser Technology
Empowering Laser Technology With Machine Learning: Machine Learning Insight Into The Future of Laser Technology

Empowering Laser Technology With Machine Learning: Machine Learning Insight Into The Future of Laser Technology


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About the Book

This book provides insights into how machine learning can enhance laser technology, focusing on possibilities rather than detailed coding instructions. It's not strictly a technical book, yet it isn't entirely non-technical either; readers with a basic understanding of lasers, machine learning, and data systems will find it easier to engage with the content. The book explores machine learning applications in various laser fields, including medical treatments, laser material processing, cutting, and welding. It presents case studies showing how machine learning could improve laser operations, diagnostics, and predictive maintenance. Key applications, like Ti-sapphire-based Chirped Pulse Amplification (CPA) systems, illustrate how machine learning might enhance pulse stability and efficiency. The book emphasizes conceptual understanding with block diagrams and flowcharts, presenting possibilities for integrating machine learning into laser systems rather than promising definitive solutions. This approach is ideal for readers interested in the future of laser technology, offering ideas for potential advancements rather than step-by-step implementations.


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Product Details
  • ISBN-13: 9798346955481
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 229 mm
  • No of Pages: 160
  • Returnable: N
  • Sub Title: Machine Learning Insight Into The Future of Laser Technology
  • Width: 152 mm
  • ISBN-10: 8346955480
  • Publisher Date: 23 Nov 2024
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 9 mm
  • Weight: 277 gr


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