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Titlebook: Advances in Intelligent Computing Techniques and Applications; Intelligent Systems, Faisal Saeed,Fathey Mohammed,Yousef Fazea Conference pr

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51#
發(fā)表于 2025-3-30 12:05:53 | 只看該作者
52#
發(fā)表于 2025-3-30 13:30:36 | 只看該作者
The Patented Technology Innovation Portfolio on 4D Printer Using Theory of Inventive Problem Solvinignificant impact on the industrial and scientific domains. 4D printing, a progression derived from 3D printing, incorporates time as an additional dimension, enabling buildings to change, adapt, and respond to external stimuli autonomously. This review critically examines?various?patents, particula
53#
發(fā)表于 2025-3-30 18:48:59 | 只看該作者
Detection User Needs: LDA-Based Analysis of Arabic Reviews for Governmental Mobile Applications,s details such as bugs or problems, evaluation of user experience with some features, suggestions for improvements, and ideas for new features. The previous literature has illustrated different techniques and approaches to reduce the work needed to analyze and extract valuable content from mobile ap
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發(fā)表于 2025-3-31 00:32:21 | 只看該作者
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發(fā)表于 2025-3-31 01:08:43 | 只看該作者
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發(fā)表于 2025-3-31 06:59:43 | 只看該作者
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發(fā)表于 2025-3-31 12:13:56 | 只看該作者
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發(fā)表于 2025-3-31 14:41:47 | 只看該作者
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發(fā)表于 2025-3-31 20:03:59 | 只看該作者
Integrating K-Means Clustering and Levenshtein Distance and K-Nearest Neighbor Algorithms for Enhan to both the standalone K-NN algorithm and the combination of K-NN with LD. The integrated approach yielded impressive outcomes, with an accuracy of 84.12%, recall of 68.08%, precision of 85.33%, and F-score of 75.74%. Furthermore, it led to enhancements of 1.01% in accuracy, 1.78% in recall, 0.23%
60#
發(fā)表于 2025-3-31 23:19:01 | 只看該作者
A Novel Fractional ARIMA Model with Genetic Algorithm and Its Applications in Forecasting the Electtwo well-known grey models. The FARIMA model outperforms the other three models in all case studies, demonstrating that it can be used as a precise and promising approach for forecasting in the short term with small datasets.
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