Showing 7,461 - 7,480 results of 10,804 for search '(advances OR advanced) in computing and engineering', query time: 0.18s Refine Results
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    Evaluation of slope stability in open pit based on 3D geological modeling and DFN by Yongji CHEN, Tingke YAN, Cong LIU

    Published 2025-07-01
    “…These datasets facilitate the development of a generalized model of the mining area using advanced 3D geological modeling techniques. Using a discrete fracture network (DFN), the three-dimensional modeling of slopes with fully characterized structural surfaces was constructed. …”
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  10. 7470

    Analysis of the State and Development of the Economy of the Republic of Uzbekistan in the Conditions of Digitalization and Implementation of Strategic Reforms by B. A. Begalov, I. E. Zhukovskaya, A. A. Mamadzhanov

    Published 2024-07-01
    “…In addition, this study showed that the applied digital solutions, such as digital platforms and digital services specially developed for the field of statistics, artificial intelligence technologies, BIGDATA, cloud computing, business analytical engines, as well as specialized software products, the ability to work with mobile devices and the use of satellite navigation to collect statistical data in the regions of the country make it possible to conduct a multidimensional analysis of business processes of economic objects of the national economy and develop optimal management decisions for the further effective development of industries and spheres of the economy of the Republic of Uzbekistan.Conclusion. …”
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  11. 7471

    Features extraction based on Naive Bayes algorithm and TF-IDF for news classification. by Li Zhang

    Published 2025-01-01
    “…This study proposes a hybrid news classification framework that integrates classical machine learning with modern advances in NLP to address these challenges. Our methodology introduces three key innovations: (1) Domain-Specific Feature Engineering, combining tailored n-grams and entity-aware TF-IDF weighting to amplify discriminative terms; (2) BERT-Guided Feature Selection, leveraging distilled BERT to identify contextually important words and resolve rare-term ambiguities; and (3) Computationally Efficient Deployment, achieving 95.2% of the accuracy of BERT at 1/52.4th of the inference cost. …”
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    Enhancing Quality Control: A Study on AI and Human Performance in Flip Chip Defect Detection by Wannisa Cheamsiri, Anuchit Jitpattanakul, Paisarn Muneesawang, Konlakorn Wongpatikaseree, Narit Hnoohom

    Published 2024-01-01
    “…This study introduces an advanced defect inspection model that utilizes object detection techniques to identify defects in Flip Chip cross-section images. …”
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