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Titlebook: New Trends in Information and Communications Technology Applications; 4th International Co Abbas M. Al-Bakry,Safaa O. Al-Mamory,Jaafar A. A

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書目名稱New Trends in Information and Communications Technology Applications
副標(biāo)題4th International Co
編輯Abbas M. Al-Bakry,Safaa O. Al-Mamory,Jaafar A. Al-
視頻videohttp://file.papertrans.cn/666/665959/665959.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: New Trends in Information and Communications Technology Applications; 4th International Co Abbas M. Al-Bakry,Safaa O. Al-Mamory,Jaafar A. A
描述This book constitutes refereed proceedings of the 4th International Conference on?New Trends in Information and Communications Technology Applications, NTICT 2020, held on June 15, 2020.?The NTICT conference was planned to take place in Baghdad on March 11-12, 2019, but due to the COVID-19 pandemic the conference has been postponed on June 15, 2020 and moved to the virtual format..The 15 full papers and 3 short papers presented were thoroughly reviewed and selected from 90 qualified submissions.?The volume presents the latest research results in such areas as network protocols, overlay and other logical network structures, wireless access networks, computer vision, machine learning, artificial Intelligence, data mining, control methods..
出版日期Conference proceedings 2020
關(guān)鍵詞artificial intelligence; bandwidth; classification; communication systems; computer hardware; computer ne
版次1
doihttps://doi.org/10.1007/978-3-030-55340-1
isbn_softcover978-3-030-55339-5
isbn_ebook978-3-030-55340-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Real-Time Sickle Cell Anemia Diagnosis Based Hardware Acceleratorncy with different platforms to show the differentiation in terms of time execution and power computation. Based on our knowledge, the results show that our proposed model has achieved the best accuracy (87.15%) and has high efficiency for real-time diagnosis.
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1865-0929 plications, NTICT 2020, held on June 15, 2020.?The NTICT conference was planned to take place in Baghdad on March 11-12, 2019, but due to the COVID-19 pandemic the conference has been postponed on June 15, 2020 and moved to the virtual format..The 15 full papers and 3 short papers presented were tho
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Heart Disease Prediction System Using Optimization Techniquesof patient data, 60 of them employed for testing, and 237 used for training. The results showed 98.33% accuracy of logistic regression obtained with attributes selected by mutual information combined with binary particle swarm optimization algorithm but with attributes chosen from the binary particle swarm optimization algorithm achieved 96.66%.
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Conference proceedings 2020, NTICT 2020, held on June 15, 2020.?The NTICT conference was planned to take place in Baghdad on March 11-12, 2019, but due to the COVID-19 pandemic the conference has been postponed on June 15, 2020 and moved to the virtual format..The 15 full papers and 3 short papers presented were thoroughly re
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