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Signal Processing and Machine Learning with Applications
607![Signal Processing and Machine Learning with Applications](http://img.images-bn.com/static/redesign/srcs/images/grey-box.png?v11.9.4)
Signal Processing and Machine Learning with Applications
607Hardcover(1st ed. 2022)
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Overview
Signal Processing and Machine Learning with Applications presents methods that are used to perform various Machine Learning and Artificial Intelligence tasks in conjunction with their applications. It is organized in three parts: Realms of Signal Processing; Machine Learning and Recognition; and Advanced Applications and Artificial Intelligence. The comprehensive coverage is accompanied by numerous examples, questions with solutions, with historical notes. The book is intended for advanced undergraduate and postgraduate students, researchers and practitioners who are engagedwith signal processing, machine learning and the applications.
Product Details
ISBN-13: | 9783319453712 |
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Publisher: | Springer International Publishing |
Publication date: | 09/30/2022 |
Edition description: | 1st ed. 2022 |
Pages: | 607 |
Product dimensions: | 6.10(w) x 9.25(h) x (d) |
About the Author
Dr. Sheuli Paul is a scientist in Defence Research and Development Canada, engaged in applied research in the areas of signal processing, machine learning, artificial intelligence and human-robot interaction. Trying to solve complex problems in interdisciplinary areas is her passion.
Dr. Veton Këpuska is an inventor of Wake-Up-Word Speech Recognition, a method of communication with machines for which he was granted two patents. He joined Florida Institute of Technology (FIT) in 2003 and engaged in numerous research activities in speech and image processing, digital processes, and machine learning. Dr. Këpuska won the First Annual Digital Signal Processing Design competition by applying his Wake-up-Word on embedded Analog Devices Platform. Dr. Këpuska won numerous awards including “the Kerry Bruce Clark” award for teaching excellence and received numerous best paper awards.
Prof. Marius Silaghi has taught, researched, and published in the areas of artificial intelligence and networking. Professor Silaghi is involved in human-machine interaction research and proposed techniques for motion capture, speech recognition, and robotics. He founded the conference on Distributed Constraint Optimization and gave multiple tutorials on the topic at the main artificial intelligence conferences. He received numerous best paper awards.