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    AlexNet-Based Feature Extraction for Cassava Classification: A Machine Learning Approach by Miftahus Sholihin, Mohd Farhan Md Fudzee, Mohd Norasri Ismail

    Published 2023-12-01
    “…The classifiers employed were support vector machine (SVM), k-nearest neighbors (KNN), and Naive Bayes. The study demonstrated that the most effective feature extraction layer was fc6, achieving an accuracy of 90.7% with SVM. …”
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