Related Books

A Deep Transfer Learning Model with Classical Data Augmentation and CGAN to Detect COVID-19 from Chest CT Radiography Digital Images
Language: en
Pages: 17

A Deep Transfer Learning Model with Classical Data Augmentation and CGAN to Detect COVID-19 from Chest CT Radiography Digital Images

Authors: Mohamed Loey
Categories: Medical
Type: BOOK - Published: 2020-04-16 - Publisher: Infinite Study

GET EBOOK

In this study, five different deep convolutional neural network-based models (AlexNet, VGGNet16, VGGNet19, GoogleNet, and ResNet50) have been selected for the i
Collected Papers. Volume XIV
Language: en
Pages: 970

Collected Papers. Volume XIV

Authors: Florentin Smarandache
Categories: Mathematics
Type: BOOK - Published: 2022-11-01 - Publisher: Infinite Study

GET EBOOK

This fourteenth volume of Collected Papers is an eclectic tome of 87 papers in Neutrosophics and other fields, such as mathematics, fuzzy sets, intuitionistic f
Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning
Language: en
Pages: 19

Within the Lack of Chest COVID-19 X-ray Dataset: A Novel Detection Model Based on GAN and Deep Transfer Learning

Authors: Mohamed Loey
Categories: Mathematics
Type: BOOK - Published: - Publisher: Infinite Study

GET EBOOK

The coronavirus (COVID-19) pandemic is putting healthcare systems across the world under unprecedented and increasing pressure according to theWorld Health Orga
Proceedings of Fifth Doctoral Symposium on Computational Intelligence
Language: en
Pages: 599

Proceedings of Fifth Doctoral Symposium on Computational Intelligence

Authors: Abhishek Swaroop
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

GET EBOOK

Computational Intelligence in Pattern Recognition
Language: en
Pages: 756

Computational Intelligence in Pattern Recognition

Authors: Asit Kumar Das
Categories: Technology & Engineering
Type: BOOK - Published: 2021-09-04 - Publisher: Springer Nature

GET EBOOK

This book features high-quality research papers presented at the 3rd International Conference on Computational Intelligence in Pattern Recognition (CIPR 2021),