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Record #50729

Predicting the Growth of F. proliferatum and F. culmorum and the Growth of Mycotoxin Using Machine Learning Approach

Publisher
Hindawi
Original paper date
Jul 15, 2022
Institution
Department of Computer Science and Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, 600054 Tamil Nadu, India · Department of Computer Science and Engineering, VIT University, Chennai, 632014 Tamil Nadu, India · Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Anandnagar, Krishnankoil, 626126 Tamil Nadu, India · Department of Computer Science and Engineering, Presidency University, Bengaluru, Yelahanka, 560064 Karnataka, India · Department of Botany and Microbiology, College of Science, King Saud University, PO Box 2455, Riyadh 11451, Saudi Arabia · Department of Sciences, University of Tennessee Health Science Center, Memphis, TN 38103, USA · Department of CSE & IT, School of Engineering and Technology, Kebridehar University, Ethiopia
Open access
No
Article type
Research Article
Broad categories
(B/T) Data Science(BLS) Biology - Molecular(BLS) Microbiology(BLS) Toxicology
Notes from Retraction Watch

See also: https://pubpeer.com/publications/69FA9DB69F70417BE52B4C41EE5A83

Citation lifecycle

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Pre-retraction
0
Same day
1
Post-retraction
3
% post-retraction
75.0%
~0.0 citations/yr before retraction · ~1.0 citations/yr after
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