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Titlebook: Advances in Data-driven Computing and Intelligent Systems; Selected Papers from Swagatam Das,Snehanshu Saha,Jagdish Chand Bansal Conference

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發(fā)表于 2025-3-21 19:17:12 | 只看該作者 |倒序瀏覽 |閱讀模式
期刊全稱Advances in Data-driven Computing and Intelligent Systems
期刊簡稱Selected Papers from
影響因子2023Swagatam Das,Snehanshu Saha,Jagdish Chand Bansal
視頻videohttp://file.papertrans.cn/148/147699/147699.mp4
發(fā)行地址Presents research papers on data-driven computing and intelligent systems.Results of ADCIS 2022 held at BITS Pilani, K K Birla Goa Campus, Goa, India.Serves as a reference for researchers and practiti
學科分類Lecture Notes in Networks and Systems
圖書封面Titlebook: Advances in Data-driven Computing and Intelligent Systems; Selected Papers from Swagatam Das,Snehanshu Saha,Jagdish Chand Bansal Conference
影響因子.The volume is a collection of best selected research papers presented at International Conference on Advances in Data-driven Computing and Intelligent Systems (ADCIS 2022) held at BITS Pilani, K K Birla Goa Campus, Goa, India during 23 – 25 September 2022. It includes state-of-the art research work in the cutting-edge technologies in the field of data science and intelligent systems. The book presents data-driven computing; it is a new field of computational analysis which uses provided data to directly produce predictive outcomes. The book will be useful for academicians, research scholars, and industry persons..
Pindex Conference proceedings 2023
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,‘Wives All’: Emma and Florence Hardy, benchmark functions which are different from the 19 benchmark functions which were used in the sparrow search algorithm’s paper. After the comparison of experimental results of SSA with GWO, BBA, and PSO, it is obtained that the convergence speed of SSA is slow in some benchmark functions.
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Anita Hussenius,Kathryn ScantleburyP300 amplitude of averaged target trials at . electrode. Forward model considering eight channels showed lower neural activation in disabled subjects than abled-bodied subjects. Through this work, we show the utility of the CorrCA method for traditional P300 experiments. The presented application-le
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