Machine Intelligence Techniques For Data Analysis And Signal Processing

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Machine Intelligence Techniques for Data Analysis and Signal Processing

Machine Intelligence Techniques for Data Analysis and Signal Processing
Author :
Publisher : Springer Nature
Total Pages : 879
Release :
ISBN-10 : 9789819900855
ISBN-13 : 9819900859
Rating : 4/5 (859 Downloads)

Book Synopsis Machine Intelligence Techniques for Data Analysis and Signal Processing by : Dilip Singh Sisodia

Download or read book Machine Intelligence Techniques for Data Analysis and Signal Processing written by Dilip Singh Sisodia and published by Springer Nature. This book was released on 2023-05-30 with total page 879 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022). The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, and videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves a valuable resource for those in academia and industry.


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The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: