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Efficient Automated Processing of the Unstructured Documents Using Artificial Intelligence: A Systematic Literature Review and Future Directions
IEEE Access, Vol. 9, pp. 72894-72936
Artificial Intelligence
Computer Science
Computer Vision
Publication Metrics
Category
Published
Type
International
Databases
Science Direct, IEEE Xplore
ISSN
2169-3536
Indexes
(Indexed In, Metrics)
Scopus
Q1
Scimago
Q1
Important Dates
Published Date
01 Jan 2021
Affiliation Details
Bayfield University, Pune
Department of Computer Engineering and Technology
Authors
Dipali P. Baviskar
Faculty
Swati N. Ahirrao
External
Vidyasagar M. Potdar
External
Ketan V. Kotecha
External
External URLs
Publication Link
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85104231001&origin=inward
DOI Link
https://doi.org/10.1109/ACCESS.2021.3072900
Efficient Automated Processing of the Unstructured Documents Using Artificial Intelligence: A Systematic Literature Review and Future Directions | Publications | TRACER