Titlebook: Advances on Smart and Soft Computing; Proceedings of ICAC Faisal Saeed,Tawfik Al-Hadhrami,Errais Mohammed Conference proceedings 2021 The

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書目名稱Advances on Smart and Soft Computing影響因子(影響力)學(xué)科排名




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書目名稱Advances on Smart and Soft Computing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Advances on Smart and Soft Computing被引頻次




書目名稱Advances on Smart and Soft Computing被引頻次學(xué)科排名




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書目名稱Advances on Smart and Soft Computing讀者反饋




書目名稱Advances on Smart and Soft Computing讀者反饋學(xué)科排名

BARK

Evaluation of Several Artificial Intelligence and Machine Learning Algorithms for Image Classificationg with deep learning methods (CNN and transfer learning). Data augmentation and fine-tuning techniques are explored to handle the overfitting problem. Conducted experiment results show the effectiveness of transfer learning with data augmentation and fine-tuning using the VGG16 network as the precision reaches 89%.

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Feature Selection and Classification Using CatBoost Method for Improving the Performance of Predictithe ensemble methods, random forest, XGBoost and CatBoost were used to find the most important features for predicting PD. The effect of these features with different thresholds was investigated in order to obtain the best performance for predicting PD. The results showed that CatBoost method obtained the best results.

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