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Record Nr. |
UNINA9910484064003321 |
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Titolo |
Advanced Machine Learning Technologies and Applications : Proceedings of AMLTA 2021 / / edited by Aboul-Ella Hassanien, Kuo-Chi Chang, Tang Mincong |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (1,144 pages) : illustrations |
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Collana |
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Advances in Intelligent Systems and Computing, , 2194-5365 ; ; 1339 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Artificial intelligence |
Big data |
Computational Intelligence |
Artificial Intelligence |
Big Data |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Living with COVID-19: A Data Mining Approach for Social Media Learning -- Impact of COVID-19 Pandemic on Diet Prediction and Patient Health based on Support Vector Machine -- Text Classification of Arabic text: Deep learning in ANLP -- Classification of date fruits in a controlled environment using Convolutional Neural Networks -- Job Candidate Rank Approach using Machine Learning Techniques -- Analysis of Arabic Songs: Abdel ElHalim as a Case Study -- Arabic Multi-label Text Classification of News Articles. |
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Sommario/riassunto |
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This book presents the refereed proceedings of the 6th International Conference on Advanced Machine Learning Technologies and Applications (AMLTA 2021) held in Cairo, Egypt, during March 22–24, 2021, and organized by the Scientific Research Group of Egypt (SRGE). The papers cover current research Artificial Intelligence Against COVID-19, Internet of Things Healthcare Systems, Deep Learning Technology, Sentiment analysis, Cyber-Physical System, Health Informatics, Data Mining, Power and Control Systems, Business Intelligence, Social media, |
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Control Design, and Smart Systems. |
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