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Machine Intelligence Techniques for Data Analysis and Signal Processing

Om Machine Intelligence Techniques for Data Analysis and Signal Processing

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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  • Språk:
  • Engelsk
  • ISBN:
  • 9789819900848
  • Bindende:
  • Hardback
  • Sider:
  • 916
  • Utgitt:
  • 31. mai 2023
  • Utgave:
  • 23001
  • Dimensjoner:
  • 160x51x241 mm.
  • Vekt:
  • 1686 g.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 30. juli 2025

Beskrivelse av Machine Intelligence Techniques for Data Analysis and Signal Processing

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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