Share
Deep Learning Techniques for Detection of COPD
Meenu Vijarania
(Author)
·
Swati Gupta
(Author)
·
LAP Lambert Academic Publishing
· Paperback
Deep Learning Techniques for Detection of COPD - Vijarania, Meenu ; Gupta, Swati
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Friday, July 19 and
Friday, July 26.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
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%.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.
