Machine learning applications : from computer vision to robotics / edited by Indranath Chatterjee, Sheetal Zalte.
"Machine learning (ML), and deep learning (DL) technologies are changing virtually every industry around the world. These technologies are increasingly being used in robotics and vehicle automation, and in businesses such as financial services, retail, manufacturing, healthcare, and life scienc...
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| Online Access: |
Full Text (via Wiley) |
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| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken, New Jersey :
Wiley-IEEE Press,
[2024]
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| Subjects: |
| Summary: | "Machine learning (ML), and deep learning (DL) technologies are changing virtually every industry around the world. These technologies are increasingly being used in robotics and vehicle automation, and in businesses such as financial services, retail, manufacturing, healthcare, and life sciences. This book details the advances in these technologies and presents case studies on how they can be applied to different domains such as image processing, computer vision, robotics, and more. Comprised of 13 chapters, this book introduces real-world applications of machine and deep learning to healthcare, blockchain technology, cyber security, and climate change completed with case studies, solutions, and use cases for the reader's active learning. With a team of expert contributors, applications to image processing are examined, including medical imaging, pattern recognition, object detection, image segmentation, image transformation, morphological processing and more. An explanation of AI and robotic applications in mechanical design is also discussed including robot-assisted surgeries, security, and space exploration. Aimed at professionals and researchers alike, this book covers a range of important machine and deep learning applications. The editors and contributors describe the importance of each subject area and detail why they are so important to us"-- |
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| Physical Description: | 1 online resource (xvi, 221 pages) : illustrations (chiefly color) |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781394173358 1394173350 9781394173341 1394173342 9781394173334 1394173334 |
| Source of Description, Etc. Note: | Description based on online resource; title from digital title page (viewed on December 27, 2023). |