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pro vyhledávání: '"Piyush R. Chaudhari"'
Autor:
Sudeep D. Thepade, Piyush R. Chaudhari
Publikováno v:
Applied Artificial Intelligence, Vol 35, Iss 2, Pp 154-170 (2021)
Detecting the appropriate usage of a piece of land is known as Land Usage Mining. The key resource to detect the Land Usages is aerial Images. The advancement in technology in form of satellites, drones, unmanned aerial vehicles do capture the tons o
Externí odkaz:
https://doaj.org/article/f5aa5fa2151243b79c8b83da4e2b1092
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
Autor:
Piyush R. Chaudhari, Sudeep D. Thepade
Publikováno v:
Applied Artificial Intelligence. 35:154-170
Detecting the appropriate usage of a piece of land is known as Land Usage Mining. The key resource to detect the Land Usages is aerial Images. The advancement in technology in form of satellites, d...
Publikováno v:
International Journal of Engineering and Advanced Technology. 9:2612-2621
Automatic Land Usage Identification is one of the most demanded research areas in Remote Sensing. One of the primitive sources for Land Usage Identification is Aerial images. Automatic Land Usage Identification is implemented by exploring different f
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