Name: Machine Learning and Computational Intelligence Techniques for Data Engineering. Proceedings of the 4th International Conference MISP 2022, Volume 2 (en Inglés)
SKU: 67385120
Price: 1136.33 MXN
Availability: InStock
Author: Pradeep Singh;Deepak Singh;Vivek Tiwari
ISBN: 9789819900480

portada Machine Learning and Computational Intelligence Techniques for Data Engineering. Proceedings of the 4th International Conference MISP 2022, Volume 2 (en Inglés)

Machine Learning and Computational Intelligence Techniques for Data Engineering. Proceedings of the 4th International Conference MISP 2022, Volume 2 (en Inglés)

Formato

Libro Físico

Editorial

Springer

Autor

Pradeep Singh;Deepak Singh;Vivek Tiwari

Año

2023

Idioma

Inglés

N° páginas

912

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x4.5 cm

ISBN13

9789819900480

Machine Learning and Computational Intelligence Techniques for Data Engineering. Proceedings of the 4th International Conference MISP 2022, Volume 2 (en Inglés)

Pradeep Singh;Deepak Singh;Vivek Tiwari (Autor) · Springer · Tapa Blanda

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Reseña del libro "Machine Learning and Computational Intelligence Techniques for Data Engineering. Proceedings of the 4th International Conference MISP 2022, Volume 2 (en Inglés)"

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.