Machine Intelligence Techniques for Data Analysis and Signal Processing
Proceedings of the 4th International Conference MISP 2022, Volume 1
Series: Lecture Notes in Electrical Engineering; 997;
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172 475 Ft (164 262 Ft + 5% VAT)
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172 475 Ft
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Edition number 2023
- Publisher Springer
- Date of Publication 31 May 2023
- Number of Volumes 1 pieces, Book
- ISBN 9789819900848
- Binding Hardback
- No. of pages901 pages
- Size 235x155 mm
- Weight 1705 g
- Language English
- Illustrations 107 Illustrations, black & white; 366 Illustrations, color 516
Categories
Short description:
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.
MoreLong description:
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.
MoreTable of Contents:
On Diverse and Serendipitous item Recommendation: A Reinforced Similarity and Multi-Objective Optimization based Composite Recommendation Framework.- Comparative Analysis of Node Dependent and Node Independent Graph Matrices for Brain Connectivity.- Facial Expression Recognition from low resolution facial segments using Pre-trained networks.- Design and Analysis of Quad Element UWB MIMO Antenna with Mutual Coupling Reduction Techniques.- Enhancing Agriculture Outcome with Multiple Crop Recommendations Using Sequential Forword Feature Selection.- Kernel Level Pruning for CNN.
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