Name: Deep Learning Techniques for Detection of COPD
Price: 837.00 ZAR
Availability: InStock
Author: Vijarania, Meenu ; Gupta, Swati
ISBN: 9786207465279

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portada Deep Learning Techniques for Detection of COPD

Deep Learning Techniques for Detection of COPD

Type

Physical Book

Author

Meenu Vijarania

Swati Gupta

Publisher

LAP Lambert Academic Publishing

Language

English

Pages

Format

Paperback

Dimensions

22.9 x 15.2 x 0.3 cm

Weight

0.09 kg.

ISBN13

9786207465279

Synopsis "Deep Learning Techniques for Detection of COPD"

Deep COPD, an innovative deep learning approach for accurate detection of Chronic Obstructive Pulmonary Disease (COPD) using respiratory sound analysis. The proposed approach utilizes a Convolutional Neural Network (CNN) model trained on a respiratory sound database containing wheezes, crackles, and both crackles and wheezes. To overcome the challenge of a small dataset, innovative techniques such as device-specific fine-tuning, concatenation-based augmentation, blank region clipping, and smart padding are employed. These techniques enable efficient utilization of the dataset, resulting in an impressive accuracy of 90% to 95%.

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Deep Learning Techniques for Detection of COPD - Vijarania, Meenu ; Gupta, Swati

Synopsis "Deep Learning Techniques for Detection of COPD"

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