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Titlebook: Innovations in Computational Intelligence and Computer Vision; Proceedings of ICICV Manoj Kumar Sharma,Vijaypal Singh Dhaka,Jo?o Manue Conf

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發(fā)表于 2025-3-21 19:06:45 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Innovations in Computational Intelligence and Computer Vision
副標題Proceedings of ICICV
編輯Manoj Kumar Sharma,Vijaypal Singh Dhaka,Jo?o Manue
視頻videohttp://file.papertrans.cn/468/467060/467060.mp4
概述Presents selected works by active researchers in the fields of computational intelligence and computer vision.Gathers the outcomes of the ICICV 2020, hosted by Manipal University Jaipur, Rajasthan, In
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Innovations in Computational Intelligence and Computer Vision; Proceedings of ICICV Manoj Kumar Sharma,Vijaypal Singh Dhaka,Jo?o Manue Conf
描述.This book presents high-quality, peer-reviewed papers from the International Conference on “Innovations in Computational Intelligence and Computer Vision (ICICV 2020),” hosted by Manipal University Jaipur, Rajasthan, India, on January 17–19, 2020. Offering a collection of innovative ideas from researchers, scientists, academics, industry professionals and students, the book covers a variety of topics, such as artificial intelligence and computer vision, image processing and video analysis, applications and services of artificial intelligence and computer vision, interdisciplinary areas combining artificial intelligence and computer vision, and other innovative practices. .
出版日期Conference proceedings 2021
關鍵詞Artificial Intelligence; Computer Vision; Image Processing; Video Analysis; Innovative Practices; ICICV P
版次1
doihttps://doi.org/10.1007/978-981-15-6067-5
isbn_softcover978-981-15-6066-8
isbn_ebook978-981-15-6067-5Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2021
The information of publication is updating

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Optimized Z-Buffer Using Divide and Conquerquer along with Z-buffer to reduce the number of pixels required to check to determine which surfaces are needed to be rendered and which surfaces do not require rendering. This helps reduce the time complexity as well as space complexity of the algorithm resulting in computing less number of pixels.
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A New Automatic Query Expansion Approach Using Term Selection and Document Clusteringd other AQE methods is tested on sets of queries for CACM and CISI datasets. The higher values obtained for different information retrieval performance measures prove superiority of proposed AQE approach over other AQE methods.
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Noise Density Range Sensitive Mean-Median Filter for Impulse Noise Removal(10–90%). Simulation results show that the proposed filter outperforms in comparison with the other nonlinear filters. At very high noise densities, the proposed filter provides better visual representation with 6.5% average improvement in peak signal-to-noise ratio value when compared to state-of-the-art filters.
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Conference proceedings 2021 vision, image processing and video analysis, applications and services of artificial intelligence and computer vision, interdisciplinary areas combining artificial intelligence and computer vision, and other innovative practices. .
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Information Fusion-Based Intruder Detection Techniques in Surveillance Wireless Sensor Networkeous solution. This paper presents a survey on the various information fusion-based intruder detection techniques and their related parameters. This paper also lists the various challenges that arise while designing an algorithm for intruder detection using SWSN.
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