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Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai,Supriya Kapoor,Rahul Bhatia Conference proceedings 2019 Springer Natu

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书目名称Intelligent Systems and Applications
副标题Proceedings of the 2
编辑Kohei Arai,Supriya Kapoor,Rahul Bhatia
视频video
概述Presents the latest research on intelligent systems and applications.Gathers the proceedings of the Intelligent Systems Conference 2018 (IntelliSys 2018), held in London, UK from 6 to 7 September 2018
丛书名称Advances in Intelligent Systems and Computing
图书封面Titlebook: Intelligent Systems and Applications; Proceedings of the 2 Kohei Arai,Supriya Kapoor,Rahul Bhatia Conference proceedings 2019 Springer Natu
描述Gathering the Proceedings of the 2018 Intelligent Systems Conference (IntelliSys 2018), this book offers a remarkable collection of chapters covering a wide range of topics in intelligent systems and computing, and their real-world applications. The Conference attracted a total of 568 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer review process, after which 194 (including 13 poster papers) were selected to be included in these proceedings.. . As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made it possible to tackle many problems more effectively. This branching out of computational intelligence in several directions, and the use of intelligent systems in everyday applications, have created the need for such an international conference, which serves as a venue for reporting on cutting-edge innovations and developments.. . This book collects both theory and application-based chapters on all aspects of artificial intelligence, from classical to intelligent scope. Readers are sure to find the
出版日期Conference proceedings 2019
关键词Artificial Intelligence; Deep Learning; Neural Networks; Fuzzy Logic; Expert Systems; Computational Intel
版次1
doihttps://doi.org/10.1007/978-3-030-01054-6
isbn_softcover978-3-030-01053-9
isbn_ebook978-3-030-01054-6Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Reinforcement Learning for Fair Dynamic Pricing,losses for a company. Despite the fact that dynamic pricing models help companies maximize revenue, fairness and equality should be taken into account in order to avoid unfair price differences between groups of customers. This paper shows how to solve dynamic pricing by using Reinforcement Learning
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A Classification-Regression Deep Learning Model for People Counting,success of applying “ambiguous labelling” to age estimation problem, we also manage to employ this strategy to the people counting problem. We show that it is a reasonable strategy since people counting problem is similar to the age estimation problem. Also, by applying “ambiguous labelling”, we are
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The Impact of Replacing Complex Hand-Crafted Features with Standard Features for Melanoma Classific curable; hence, earlier detection of melanoma is pre-eminent. Because of this fact, a lot of research is being done in this area especially in automatic detection of melanoma. In this paper, we are proposing an automatic melanoma detection system which utilizes a combination of deep and hand-crafte
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