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Titlebook: Artificial Intelligence Applications and Innovations; 12th IFIP WG 12.5 In Lazaros Iliadis,Ilias Maglogiannis Conference proceedings 2016 I

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期刊全称Artificial Intelligence Applications and Innovations
期刊简称12th IFIP WG 12.5 In
影响因子2023Lazaros Iliadis,Ilias Maglogiannis
视频video
发行地址Includes supplementary material:
学科分类IFIP Advances in Information and Communication Technology
图书封面Titlebook: Artificial Intelligence Applications and Innovations; 12th IFIP WG 12.5 In Lazaros Iliadis,Ilias Maglogiannis Conference proceedings 2016 I
影响因子This book constitutes the refereed proceedings of the 12th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2016, and three parallel workshops, held in Thessaloniki, Greece, in September 2016. The workshops are the Third Workshop on New Methods and Tools for Big Data, MT4BD 2016, the 5th Mining Humanistic Data Workshop, MHDW 2016, and the First Workshop on 5G - Putting Intelligence to the Network Edge, 5G-PINE 2016.The 30 revised full papers and 8 short papers presented at the main conference were carefully reviewed and selected from 65 submissions. The 17 revised full papers and 7 short papers presented at the 3 parallel workshops were selected from 33 submissions. The papers cover a broad range of topics such as artificial neural networks, classification, clustering, control systems - robotics, data mining, engineering application of AI, environmental applications of AI, feature reduction, filtering, financial-economics modeling, fuzzy logic, genetic algorithms, hybrid systems, image and video processing, medical AI applications, multi-agent systems, ontology, optimization, pattern recognition, support vector machines, text minin
Pindex Conference proceedings 2016
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Werner Konrad,Matthias Schusterhe rule of thumb..In this paper we get advantage of Web Image Context Extraction (WICE) using visual web-page parsing and specific distance metrics and following this we locate key terms within this text to index the image using language models. In this way, the proposed method is totally learning f
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Werner Konrad,Matthias Schusterrk is compared to other two neural-based approaches. Simulations show that the proposed network achieves a superior performance, which could be improved if an additional wave parameter (wave direction) was to be included in the input variables.
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Artificial Intelligence Applications and Innovations12th IFIP WG 12.5 In
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