Machine Learning and Computational Intelligence Techniques for Data Engineering

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Machine Learning and Computational Intelligence Techniques for Data Engineering is written by Pradeep Singh and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 9819900476 (ISBN 10) and 9789819900473 (ISBN 13).

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.