Titlebook: Classification Applications with Deep Learning and Machine Learning Technologies; Laith Abualigah Book 2023 The Editor(s) (if applicable)

DIS

indecipherable

Salak Image Classification Method Based Deep Learning Technique Using Two Transfer Learning Models,vert into jpg format and augmentation. Based on the accuracy result from the model, the best model for the salak classification is ResNet50 which gave an accuracy of 84% followed by VGG16 that gave an accuracy of 77% and CNN which gave 31%.

champaign

Image Processing Identification for Sapodilla Using Convolution Neural Network (CNN) and Transfer Lnguish Sapodilla from various?images. Furthermore, we utilized different versions of hidden layer and epochs for various outcomes to improve predictive performance. We investigated transfer learning approaches in the classification of Sapodilla?in the suggested study. The suggested CNN model improve

APO

騙子

Champion

Comparative Study on Arabic Text Classification: Challenges and Opportunities, researches, SVM and Naive Bayes were the most widely used classifiers for Arabic text classification, while more effort is needed to develop and to implement flexible Arabic text classification methods and classifiers.

leniency

Pedestrian Speed Prediction Using Feed Forward Neural Network,rian speed with a value of 67.72?m/min and 52.19?m/min. The speed distribution also indicate male pedestrian wearing English/short African clothes and cover shoe to have a higher mean speed of 84.21?m/min and 60.10?m/min in ascending descending direction The artificial neural network was satisfactor

SAGE

CAMP

沖擊力