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Development of Predictive Models using Machine Learning Alg..:

, In: 2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM ),

Amado, Timothy M. ; Bunuan, Ma. Rica ; Chicote, Relamae F.... - p. 1-6 , 2019

Link: https://doi.org/10.1109/HNICEM48295.2019.9072907

RT 
T1 <cTitle>2019 IEEE 11th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management ( HNICEM )</cTitle>: T1 <Title>Development of Predictive Models using Machine Learning Algorithms for Food Adulterants Bacteria Detection</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9072907&Exemplar=1&LAN=DE
				
A1 Amado, Timothy M.
A1 Bunuan, Ma. Rica
A1 Chicote, Relamae F.
A1 Espenida, Sheila May C.
A1 Masangcay, Honeyleth L.
A1 Ventura, Camille H.
A1 Tolentino, Lean Karlo S.
A1 Padilla, Maria Victoria C.
A1 Madrigal, Gilfred Allen M.
A1 Enriquez, Lejan Alfred C.
YR 2019
K1 Biological system modeling
K1 Predictive models
K1 Training
K1 Tuning
K1 Support vector machines
K1 Microorganisms
K1 Radio frequency
K1 Adulteration
K1 Escherichia coli
K1 Staphylococcus aureus
K1 Random Forest
K1 Artificial Neural Networks
K1 Support Vector Machine
K1 K-Nearest Neighbors
K1 Naïve-Bayes
SP 1
OP 6
LK http://dx.doi.org/https://doi.org/10.1109/HNICEM48295.2019.9072907
DO https://doi.org/10.1109/HNICEM48295.2019.9072907
SF ELIB - SuUB Bremen

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