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Structure: Internal structure identifier : 42088
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Artificial Neural Network-Based Equation to Predict the Toxicity of Herbicides on Rats

Mabrouk Hamadache , Salah Hanini , Othmane Benkortbi , Abdeltif Amrane , Latifa Khaouane et al.
Chemometrics and Intelligent Laboratory Systems, 2016, 154, pp.7-15. ⟨10.1016/j.chemolab.2016.03.007⟩
Journal articles hal-01295518v1

Application of multilayer perceptron for prediction of the rat acute toxicity of insecticides

M. Hamadache , O. Benkortbi , S. Hanini , A. Amrane
2015 International Conference on Materials and Energy, ICOME 2015 and the 2016 International Conference on Materials and Energy, ICOME 2016, May 2016, La Rochelle, France. pp.37-42, ⟨10.1016/j.egypro.2017.11.169⟩
Conference papers hal-01695565v1
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A Quantitative Structure Activity Relationship for acute oral toxicity of pesticides on rats: Validation, Domain of Application and Prediction

Mabrouk Hamadache , Othmane Benkortbi , Salah Hanini , Abdeltif Amrane , Latifa Khaouane et al.
Journal of Hazardous Materials, 2016, 303, pp. 28-40. ⟨10.1016/j.jhazmat.2015.09.021⟩
Journal articles hal-01220889v1

QSAR modeling in ecotoxicological risk assessment: application to the prediction of acute contact toxicity of pesticides on bees (Apis mellifera L.)

Mabrouk Hamadache , Othmane Benkortbi , Salah Hanini , Abdeltif Amrane
Environmental Science and Pollution Research, 2018, 25 (1), pp.896-907. ⟨10.1007/s11356-017-0498-9⟩
Journal articles hal-01696986v1