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Titlebook: Inventive Computation Technologies; S. Smys,Robert Bestak,Álvaro Rocha Conference proceedings 2020 Springer Nature Switzerland AG 2020 Con

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发表于 2025-3-21 19:35:34 | 显示全部楼层 |阅读模式
书目名称Inventive Computation Technologies
编辑S. Smys,Robert Bestak,Álvaro Rocha
视频video
概述Presents the proceedings of the ICICT 2019 Conference, hosted by RVS Technical Campus, Coimbatore, Tamil Nadu, on 29–30 August 2019.Discusses recent research results and applications in computation te
丛书名称Lecture Notes in Networks and Systems
图书封面Titlebook: Inventive Computation Technologies;  S. Smys,Robert Bestak,Álvaro Rocha Conference proceedings 2020 Springer Nature Switzerland AG 2020 Con
描述.With the intriguing development of technologies in several industries, along with the advent of ubiquitous computational resources, there are now ample opportunities to develop innovative computational technologies in order to solve a wide range of issues concerning uncertainty, imprecision, and vagueness in various real-life problems. The challenge of blending modern computational techniques with traditional computing methods has inspired researchers and academics alike to focus on developing innovative computational techniques. In the near future, computational techniques may provide vital solutions by effectively using evolving technologies such as computer vision, natural language processing, deep learning, machine learning, scientific computing, and computational vision. A vast number of intelligent computational algorithms are emerging, along with increasing computational power, which has significantly expanded the potential for developing intelligent applications. These proceedings of the International Conference on Inventive Computation Technologies [ICICT 2019] cover innovative computing applications in the areas of data mining, big data processing, information management
出版日期Conference proceedings 2020
关键词Control Engineering; Information sciences and Technology; Computational Intelligence; Big data Analytic
版次1
doihttps://doi.org/10.1007/978-3-030-33846-6
isbn_softcover978-3-030-33848-0
isbn_ebook978-3-030-33846-6Series ISSN 2367-3370 Series E-ISSN 2367-3389
issn_series 2367-3370
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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2367-3370 s recent research results and applications in computation te.With the intriguing development of technologies in several industries, along with the advent of ubiquitous computational resources, there are now ample opportunities to develop innovative computational technologies in order to solve a wide
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Performance Analysis of Optimization Algorithms Using Chirp Signal, Maximum Likelihood and different optimization techniques are adopted for minimizing the error. Eventhough the results obtained for all optimization algorithms are comparable with the actual parameters, Levenberg-Marquardt algorithm gave the best fit, with minimum average absolute relative error.
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Robust Smart Home Monitoring System Based on 802.11 Mesh Network, like device status output, device control, and device automation. By establishing the client nodes in a mesh network, we will be able to connect the devices together and perform data acquisition through a server and transmit the data into a cloud platform through a gateway, and successfully notify the user through applets and a web-based GUI.
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https://doi.org/10.1007/978-3-030-33846-6Control Engineering; Information sciences and Technology; Computational Intelligence; Big data Analytic
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