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Titlebook: Advances in Computational Intelligence and Informatics; Proceedings of ICACI Raghavendra Rao Chillarige,Salvatore Distefano,San Conference

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發(fā)表于 2025-3-21 20:07:02 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Computational Intelligence and Informatics
期刊簡稱Proceedings of ICACI
影響因子2023Raghavendra Rao Chillarige,Salvatore Distefano,San
視頻videohttp://file.papertrans.cn/168/167230/167230.mp4
發(fā)行地址Presents research papers written by active researchers in the areas of computational intelligence.Provides results of ICACII 2023 organized by Anurag University, Hyderabad, India.Serves as a reference
學科分類Lecture Notes in Networks and Systems
圖書封面Titlebook: Advances in Computational Intelligence and Informatics; Proceedings of ICACI Raghavendra Rao Chillarige,Salvatore Distefano,San Conference
影響因子.The book is a collection of best selected research papers presented at 2nd International Conference on Advances in Computational Intelligence and Informatics (ICACII 2023) organized by Anurag University, Hyderabad, India,?during 22–23 December 2023. It includes innovative ideas and new research findings in the field of Computational Intelligence and Informatics which is useful for researchers, scientists, technocrats, academicians, and engineers. The areas included are high performance system, data science and analytics, computational intelligence and expert?systems, cloud computing, computer network, and emerging technologies..
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Digital HR Strategy in the Modern Business Environment of Ukraine in Conditions of Uncertainty,n Ukraine are HR strategies aimed at using the opportunities identified in the SWOT analysis. The current research shows that digitalization and gamification, lifelong learning, HR branding and HR marketing, and leadership development are the most relevant in personnel management. The strategic dire
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Hybrid Method for Discovering DDOS Attack,hich fails under standard DDoS attacks, and SEVEN, a different approach based on adaptive and selective verification, also fail below post-flooding attacks of HTTP since the massive number of indicators used to convey payloads. Consequently, in order to develop the algorithm more accurately, we are
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Neural Networks and GPU-Based Weed Detection Under Varying Light Illumination, plants utilizing geometric features in the existing model. The primary objective is to improve the accuracy rate and to reduce the computational time. The proposed system is closed to be more accurate if convolution neural network and region-based convolutional neural network are used. One of the s
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