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Titlebook: Industrial Networks and Intelligent Systems; 3rd International Co Yuanfang Chen,Trung Q. Duong Conference proceedings 2018 ICST Institute f

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發(fā)表于 2025-3-23 11:47:13 | 只看該作者
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發(fā)表于 2025-3-23 15:33:36 | 只看該作者
Chuong Dang-Le-Bao,Nhan Ly-Trong,Quan Le-Trungr education of female university staff in informatics. In this paper we first give a brief description of the project. Then we outline some starting points of our curricular discussion and we explain the concept of the first Summer Courses for Women in Informatics to be held in Bremen in September 1
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發(fā)表于 2025-3-23 18:01:08 | 只看該作者
Yem Van Vu,Thi Huong Trinh,Nhat Minh Vu,Canh Minh Nguyen,Duy Viet Nguyenpace and content of the first programming subject overwhelmed the women. They lacked confidence in using the computer hardware and were embarrassed to show their ignorance of this. In 1996 structured interviews and focus groups gave a different picture again..A questionnaire was administered to all
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發(fā)表于 2025-3-24 00:53:52 | 只看該作者
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發(fā)表于 2025-3-24 04:50:24 | 只看該作者
Mohammed Nasser Altawaim,Nam-Phong Nguyen,Wiliam G. Scanlonn a Network Society... The Individual and Knowledge Based Organisations. .. HumanResponsibility and Technology. .. Exclusion and Regeneration... This valuable new book contains the edited proceedings of theFifth World Conference on Human Choice and Computers (HCC-5), whichwas sponsored by the Intern
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發(fā)表于 2025-3-24 07:46:13 | 只看該作者
Energy-Efficient Data Collection Using Lossless Compression for Industrial Wireless Sensor Networksilar, and ECL has the original entropy through removing only the redundant data. Experiment results show that compared with other schemes, ECL keeps about 38% and 48% higher data accuracy and 12% and 25% shorter maximum end-to-end delay than EEUC and HEER, respectively, with a similar lifetime.
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發(fā)表于 2025-3-24 13:24:31 | 只看該作者
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發(fā)表于 2025-3-24 17:54:09 | 只看該作者
Program Popularity Prediction Approach for Internet TV Based on Trend Detectingend-specific models and classification probability, our proposed approach achieves better prediction results. The experimental results show that, compared to the existing prediction models, the prediction accuracy can increase more than 20%, and the forecasting period can be effectively shortened.
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發(fā)表于 2025-3-24 22:36:24 | 只看該作者
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發(fā)表于 2025-3-25 00:19:22 | 只看該作者
Huy T. Nguyen,Dac-Binh Ha,Sang Quang Nguyen,Won-Joo Hwang
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