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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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發(fā)表于 2025-3-21 17:01:31 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Advances on Smart and Soft Computing
期刊簡(jiǎn)稱(chēng)Proceedings of ICAC
影響因子2023Faisal Saeed,Tawfik Al-Hadhrami,Errais Mohammed
視頻videohttp://file.papertrans.cn/151/150324/150324.mp4
發(fā)行地址Presents research in various fields of computing and informatics.Discusses the outcomes of ICACIn 2020, held at the Faculty of Sciences Ain Chock Casablanca, Hassan II University, Morocco.Serves as a
學(xué)科分類(lèi)Advances in Intelligent Systems and Computing
圖書(shū)封面Titlebook: Advances on Smart and Soft Computing; Proceedings of  ICAC Faisal Saeed,Tawfik Al-Hadhrami,Errais Mohammed Conference proceedings 2021 The
影響因子This book gathers high-quality papers presented at the First International Conference of Advanced Computing and Informatics (ICACIn 2020), held in Casablanca, Morocco, on April 12–13, 2020. It covers a range of topics, including artificial intelligence technologies and applications, big data analytics, smart computing, smart cities, Internet of things (IoT), data communication, cloud computing,? machine learning algorithms, data stream management and analytics, deep learning, data mining applications, information retrieval, cloud computing platforms, parallel processing, natural language processing, predictive analytics, knowledge management approaches, information security, security in IoT, big data and cloud computing, high-performance computing and computational informatics.
Pindex Conference proceedings 2021
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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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