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Deep Learning and Signal-Processing Methods for Multisensor Data Fusion
Applications to Ambulatory Health Monitoring
Angleščina
283 b
30 dni za vračilo blaga
This book focuses on the development of multisensor fusion algorithms for wearable devices that are useful in ambulatory health monitoring using signal-processing and deeplearning-based methods. The algorithms described account for the signal quality prior to fusion, in order to enable reliable inferences without contributing to additional computational overhead. The content discussed is beneficial in the broad application of multisensor fusion, as the algorithms developed or discussed in the final chapters are generalized cases of the methods developed in the initial chapters, offering relevance to the broader multisensor fusion community.
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