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Titlebook: ICT Innovations 2018. Engineering and Life Sciences; 10th International C Slobodan Kalajdziski,Nevena Ackovska Conference proceedings 2018

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發(fā)表于 2025-3-21 16:08:53 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱ICT Innovations 2018. Engineering and Life Sciences
副標(biāo)題10th International C
編輯Slobodan Kalajdziski,Nevena Ackovska
視頻videohttp://file.papertrans.cn/461/460160/460160.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: ICT Innovations 2018. Engineering and Life Sciences; 10th International C Slobodan Kalajdziski,Nevena Ackovska Conference proceedings 2018
描述This book constitutes the refereed proceedings of the 10th International ICT Innovations Conference, ICT Innovations 2018, held in Ohrid, Macedonia, in September 2018..The 21 full papers presented were carefully reviewed and selected from 81 submissions. They cover the following topics:sensor applications and deployments, embedded and cyber-physical systems, robotics, network architectures, cloud computing, software infrastructure, software creation and management, models of computation, computational complexity and cryptography, design and analysis of algorithms, mathematical optimization, probability and statistics, data management systems, data mining, human computer interaction (HCI), artificial intelligence, machine learning, life and medical sciences, health care information systems, bioinformatics..
出版日期Conference proceedings 2018
關(guān)鍵詞artificial intelligence; communication channels; e-learning; learning algorithms; robotics; sensors; signa
版次1
doihttps://doi.org/10.1007/978-3-030-00825-3
isbn_softcover978-3-030-00824-6
isbn_ebook978-3-030-00825-3Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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Group Decision Making for Selection of Supplier Under Public Procurementility functions for simple additive weighting and weighted product model. The numerical testing considers a real-life problem for selection of the most preferable supplier of personal computers under a public procurement. The results demonstrate the flexibility of proposed approach when using a group of experts with different expertise.
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Parallel Decoding of Turbo Codesical level of abstraction, is made of several turbo decoders working in parallel. Each turbo decoder is initialized with different recursive convolutional code. Practical implementation of the proposed algorithm may be achieved with a single turbo decoder, where MAP decoders are working concurrently.
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Framework for Human Activity Recognition on Smartphones and Smartwatchestch sensors gives the best results for the activity recognition problem, i.e. to analyze if the accuracy benefits of those combinations are greater than the additional costs for combining those sensors.
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Stories for Images-in-Sequence by Using Visual and Narrative Componentsve a better story flow. Our solution generates long human-like stories that not only describe the visual context of the image sequence but also contains narrative and evaluative language. The obtained results were confirmed by manual human evaluation.
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