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| 1 | Elaboation and chemical reactivity of enzyme modified ion exchanging textiles显示文摘 | Amounas M Magne V Innocent C | 2002 | Enzyme and Microbial Technology2002，31，： | 1 |
| 2 | Enzyme textile for removal of urea with coupling process:enzymatic reaction and electrodialysis显示文摘 | Magne V Amounas M Innocent C | 2002 | Dedalination2002，144，： | 1 |
| 3 | Synthesis, characterization and biological activity of sugar - based gemini cationic amphiphiles显示文摘 | NABEL A N AMOUNA S M | 2008 | J Surf Det2008，11，： | 1 |
| 4 | Elaboration and chemical reactivity of enzyme modified ion exchanging textiles 显示文摘 | AMOUNAS M MAGNE V INNOCENT C | 2002 | Enzyme and Microbial Tec2002，3，： | 1 |
| 5 | Elaboration and chemical reactivity of enzyme modified ion exchanging textiles显示文摘 | Amounas M Magne V Innocent C | 2002 | Enzyme Microb Tech2002，31，： | 1 |
| 6 | An Efficient Signcryption Scheme based on the Elliptic Curve Discrete Logarithm Problem 显示文摘 | Amounas Sadki Kinani | 2013 | International Journal of Information & Network Security (IJINS)2013，，2： | 1 |
| 7 | A membrane based reactor with an enzyme immobilized by an avidin-biotin molecular recognition in a polymer matrix显示文摘 | Amounas M Innocent C Cosnier S | 2000 | J Membr Sci2000，176，： | 1 |
| 8 | Proposed Developements of Blind Signature Scheme based on ECC 显示文摘 | Amounas Kinani | 2013 | Computer2013，2013，2： | 1 |
| 9 | Cryptography with Elliptic Curve Using Tifinagh Characters显示文摘 | Fatima Amounas El Hassan El Kinani | 2012 | Journal of Mathematics and System Science2012，2，2： | 0 |
| 10 | A Machine Learning Based Framework for a Stage-Wise Classification of Date Palm White Scale Disease显示文摘Date palm production is critical to oasis agriculture,owing to its economic importance and nutritional advantages.Numerous diseases endanger this precious tree,putting a strain on the economy and environment.White scale Parlatoria blanchardi is a damaging bug that degrades the quality of dates.When an infestation reaches a specific degree,it might result in the tree’s death.To counter this threat,precise detection of infected leaves and its infestation degree is important to decide if chemical treatment is necessary.This decision is crucial for farmers who wish to minimize yield losses while preserving production quality.For this purpose,we propose a feature extraction and machine learning(ML)technique based framework for classifying the stages of infestation by white scale disease(WSD)in date palm trees by investigating their leaflets images.80 gray level co-occurrence matrix(GLCM)texture features and 9 hue,saturation,and value(HSV)color moments features are extracted from both grayscale and color images of the used dataset.To classify the WSD into its four classes(healthy,low infestation degree,medium infestation degree,and high infestation degree),two types of ML algorithms were tested;classical machine learning methods,namely,support vector machine(SVM)and k-nearest neighbors(KNN),and ensemble learning methods such as random forest(RF)and light gradient boosting machine(LightGBM).The ML models were trained and evaluated using two datasets:the first is composed of the extracted GLCM features only,and the second combines GLCM and HSV descriptors.The results indicate that SVM classifier outperformed on combined GLCM and HSV features with an accuracy of 98.29%.The proposed framework could be beneficial to the oasis agricultural community in terms of early detection of date palm white scale disease(DPWSD)and assisting in the adoption of preventive measures to protect both date palm trees and crop yield. | Abdelaaziz Hessane Ahmed El Youssefi Yousef Farhaoui Badraddine Aghoutane Fatima Amounas | 2023 | Big Data Mining and Analytics2023，6，3： | 0 |
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