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Can I read Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications on EtoBox?
Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications by Ravichander Janapati & Usha Desai & Steven Fernandes & Rakesh Sengupta & Shubham Tayal is a nonfiction available to read on EtoBox.
What is Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications about?
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.
Who reads Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Ravichander Janapati & Usha Desai & Steven Fernandes & Rakesh Sengupta & Shubham Tayal
- Publisher
- CRC Press
- Published
- 2026
- Language
- EN
- Category
- nonfiction
- Subjects
- Computer Science, Artificial Intelligence (Ai), Stem
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