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, videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves to be a valuable resource for those in academia and industry.
| ISBN: | 9789819900497 |
| Publication date: | 17th May 2024 |
| Author: | International Conference on Machine Intelligence and Signal Processing |
| Publisher: | Springer an imprint of Springer Nature Singapore |
| Format: | Paperback |
| Pagination: | 896 pages |
| Series: | Lecture Notes in Electrical Engineering |
| Genres: |
Artificial intelligence Applied computing |
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, videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves to be a valuable resource for those in academia and industry.
Machine Learning and Computational Intelligence Techniques for Data Engineering Volume 2 features in the following genres: Artificial intelligence, Applied computing
Machine Learning and Computational Intelligence Techniques for Data Engineering Volume 2 is available in Paperback, Hardback
Machine Learning and Computational Intelligence Techniques for Data Engineering Volume 2 was written by International Conference on Machine Intelligence and Signal Processing and published by Springer an imprint of Springer Nature Singapore
Machine Learning and Computational Intelligence Techniques for Data Engineering Volume 2 has 896 pages
Yes it is part of Lecture Notes in Electrical Engineering series
£224.99