Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications
eBook - ePub

Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications

About this book

This book presents various machine learning applications in the field of engineering with a focus on deep learning-based machine learning approaches. It examines the relationship between three different multidisciplinary engineering branches: biomedical engineering, signal processing, and computer science.

Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications explores recent advancements in the use of AI/ML in practical engineering applications by inviting top experts to share the outcomes of their most recent work. Among the topics explored are detection, measurement, and monitoring of signals (biosensors and biomedical devices) and the use of diagnostic interpretations of bioelectric data using signal-processing techniques. The authors also address several machine learning tasks, such as classification (supervised learning) and clustering (unsupervised learning), in the context of engineering. Finally, the book also describes the development of new biomaterials for use in the body.

The book will be a great help to researchers and academics working in the fields of biomedical signaling and/or human-machine interface.

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications by Ravichander Janapati,Usha Desai,Steven L Fernandes,Rakesh Sengupta,Shubham Tayal in PDF and/or ePUB format. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2025
eBook ISBN
9781040359716
Edition
0
Topic
Computer Science
Index
Computer Science

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. About the Editors
  8. List of Contributors
  9. Chapter 1 AI in Communication: A Chatbot to Practice a Clinical Interview in Spanish (BOTES)
  10. Chapter 2 AI-Driven Diagnostic Assistance for the Gastrointestinal Tract Diseases
  11. Chapter 3 Data-Driven Techniques for Fault Diagnosis and Predictive Maintenance
  12. Chapter 4 Harnessing Machine Learning for Peptidase Inhibitor Prediction in Therapeutic Discovery
  13. Chapter 5 Enhancing Breast Cancer Detection with Radiomics and Machine Learning: A Comprehensive Analysis Using MRI Datasets
  14. Chapter 6 Enhancing Deep Learning-Based Colon Cancer Detection Using Attention Module
  15. Chapter 7 Acoustic-Based Parkinson’s Disease Diagnosis Using Transfer Learning: Combining VGG16 with Light Gradient Boosting Machine (LGBM) Classifier
  16. Chapter 8 Advances in Machine Learning for QSAR Modeling: Enhancing Drug Discovery through Predictive Precision and Data Integration
  17. Chapter 9 Stability Analysis of Recurrent Shunting On-Center Off-Surround Neural Networks with Nonlinear Transfer Functions: An Energy Function Approach
  18. Chapter 10 ChatGPT: A Critical Analysis of Its Performance and Virtue Exploration
  19. Chapter 11 Fundus Image Restoration and Enhancement Using Multi Resolution CNN Framework
  20. Chapter 12 An Application of Improved Support Vector Machine Classifier for the Study of Breast Cancer Detection
  21. Index