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Titlebook: Advanced Intelligent Systems for Sustainable Development (AI2SD’2018); Volume 5: Advanced I Mostafa Ezziyyani Conference proceedings 2019 S

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發(fā)表于 2025-3-21 16:30:38 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advanced Intelligent Systems for Sustainable Development (AI2SD’2018)
期刊簡稱Volume 5: Advanced I
影響因子2023Mostafa Ezziyyani
視頻videohttp://file.papertrans.cn/146/145785/145785.mp4
發(fā)行地址Highlights the latest research on and applications of Advanced Intelligent Systems for Sustainable Development.Includes the Proceedings of the Advanced Intelligent Systems for Sustainable Development
學(xué)科分類Advances in Intelligent Systems and Computing
圖書封面Titlebook: Advanced Intelligent Systems for Sustainable Development (AI2SD’2018); Volume 5: Advanced I Mostafa Ezziyyani Conference proceedings 2019 S
影響因子This book includes the outcomes of the International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD-2018), held in Tangier, Morocco on July 12–14, 2018.?.Presenting the latest research in the field of computing sciences and information technology, it discusses new challenges and provides valuable insights into the field, the goal being to stimulate debate, and to promote closer interaction and interdisciplinary collaboration between researchers and practitioners.?.Though chiefly intended for researchers and practitioners in advanced information technology management and networking, the book will also be of interest to those engaged in emerging fields such as data science and analytics, big data, internet of things, smart networked systems, artificial intelligence, expert systems and cloud computing.?.
Pindex Conference proceedings 2019
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Conference proceedings 2019ier, Morocco on July 12–14, 2018.?.Presenting the latest research in the field of computing sciences and information technology, it discusses new challenges and provides valuable insights into the field, the goal being to stimulate debate, and to promote closer interaction and interdisciplinary coll
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Bibliographiae Botanicae Supplementumn this scientific research project. Then, we have investigated some ways for compressing the number of parameters of the resulting model to reduce the memory needed for both storing and performing a forward pass while simultaneously preserving acceptable good accuracy.
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