Showing 1,901 - 1,920 results of 9,922 for search 'open computing', query time: 0.11s Refine Results
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    Statistical Assessment of The Implementation of Socio-Economic Development Strategies of The Republic of Uzbekistan in the Context of Digital Transformation by B. A. Begalov, I. E. Zhukovskaya

    Published 2022-06-01
    “…Scientific studies conducted by the authors state that due to the use of advanced information and digital technologies, innovative mechanisms for collecting and processing information flows, the statistical assessment of the implementation of a whole range of strategies for the development of the socio-economic complex is more open and transparent, which in turn allows you to make competent manage-ment decisions for the effective development of industries and areas of the national economy.Conclusion. …”
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  13. 1913

    Optimization Method of Human Posture Recognition Based on Kinect V2 Sensor by Hang Li, Hao Li, Ying Qin, Yiming Liu

    Published 2025-04-01
    “…Human action recognition aims to understand human behavior and is crucial in enhancing the intelligence and naturalness of human–computer interaction and bionic robots. This paper proposes a method to improve the complexity and real-time performance of action recognition by combining the Kinect sensor with the OpenPose algorithm, the Levenberg–Marquardt (LM) algorithm, and the Dynamic Time Warping (DTW) algorithm. …”
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    The Twitter Explorer: A Framework for Observing Twitter through Interactive Networks by Armin Pournaki, Felix Gaisbauer, Sven Banisch, Eckehard Olbrich

    Published 2021-03-01
    “… We present an open-source interface for scientists to explore Twitter data through interactive network visualizations. …”
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  16. 1916

    Efficient privacy-preserving decision tree classification protocol by Lichuan MA, Jiayi PENG, Qingqi PEI, Haojin ZHU

    Published 2021-08-01
    “…To provide privacy-preserving decision tree classification services in the Internet of things (IoT) big data scenario, an efficient privacy-preserving decision tree classification protocol was proposed by adopting the secure multiparty computation framework into the classification model.The entire protocol consisted of three parts: the original decision tree model mixing, the Boolean share-based privacy-preserving comparing, and the 1-out-of-n oblivious transfer-based classification result obtaining.Via the proposed protocol, the service providers could protect the parameters of their decision tree models and the users were able to derive the classification result without exposing their privately hold data.Through a concrete security analysis, the proposed protocol was proved to be secure against semi-honest adversaries.By implementing the proposed protocol on various practical decision tree models from open datasets, the classification accuracy and the average time cost for completing one privacy-preserving classification service were evaluated.After compared with existing related works, the performance superiority of the proposed protocol is demonstrated.…”
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  17. 1917
  18. 1918

    Studying riots through the lens of social media by Lucas Spierenburg, Sander van Cranenburgh, Oded Cats

    Published 2025-07-01
    “…By applying density-based clustering, we map riots across seven French cities, revealing their highly localized and bursty dynamics. This study opens pathways for future research on the causes and dynamics of social unrest, enabling a deeper understanding of urban riots and their potential mitigation.…”
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