Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mayuresh R. Dindorkar"'
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 27, Iss , Pp 101014- (2022)
Rapid progress in deep learning (DL) is benefitting almost all fields including ‘Remote Sensing’. Until now several deep convolutional neural networks (DCNN) are proposed, every one of them gives distinct results according to its depth as well as
Externí odkaz:
https://doaj.org/article/06743d6042ae4c83814a743a5ba7c299
Covid19 Identification from Chest X-ray Images using Machine Learning Classifiers with GLCM Features
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 19, Iss 3 (2020)
From staying quarantined at home, practicing work from home to moving outside wearing masks and carrying sanitizers, every individual has now become so adaptive to so called ‘New Normal’ post series of lockdowns across the countries. The situatio
Externí odkaz:
https://doaj.org/article/bc4001c3d03443f1a547b7f6759d5cd8
Publikováno v:
2020 IEEE Bombay Section Signature Conference (IBSSC).
The outbreak of the novel Coronavirus has caused catastrophic consequences on the entire global economy leading to a huge loss of health and wealth. Mankind has suffered a lot due to this pandemic. Large number of screening tests are performed on the
Covid19 Identification from Chest X-ray Images using Machine Learning Classifiers with GLCM Features
Publikováno v:
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 19, Iss 3 (2020)
Universitat Autònoma de Barcelona
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 19, Iss 3 (2020)
From staying quarantined at home, practicing work from home to moving outside wearing masks and carrying sanitizers, every individual has now become so adaptive to so called 'New Normal' post series of lockdowns across the countries. The situation tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f47a274a79f5e7c0959e8eb859a3bcc
https://ddd.uab.cat/record/233663
https://ddd.uab.cat/record/233663