Deep learning's fitness for purpose: A transformation problem frame's perspective

Deep learning's fitness for purpose: A transformation problem frame's perspective

Abstract Combined sewer overflows represent significant risks to human health as untreated water is discharged to the environment. Municipalities, such as the Metropolitan Sewer District of Greater Cincinnati (MSDGC), recently began collecting large amounts of water‐related data and considering the...

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Bibliographic Details
Main Authors:	Hemanth Gudaparthi, Nan Niu, Yilong Yang, Matthew VanDoren, Reese Johnson
Format:	Article
Language:	English
Published:	Wiley 2023-06-01
Series:	CAAI Transactions on Intelligence Technology
Subjects:	deep learning deep neural networks software engineering
Online Access:	https://doi.org/10.1049/cit2.12237

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