Showing 401 - 420 results of 10,771 for search 'Big3~', query time: 2.89s Refine Results
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    The big five personality traits and eating habits among female students at Zayed University by Sharifa AlBlooshi, Kawther AlSabbah, Shatha Thani, Rafiq Hijazi, Ayesha S. Al Dhaheri, Falak Zeb, Leila Cheikh Ismail, Leila Cheikh Ismail

    Published 2025-01-01
    “…Personality traits are consistent behavioral patterns that individuals typically exhibit, and the Five-Factor Model (also known as the Big Five) is widely recognized as an effective framework for predicting personality traits.MethodsThis study analyzed the relationship between personality traits and eating behaviors among 425 female students using a cross-sectional design. …”
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    From the Small Screen to the Big Screen: The Super8's Distribution of Sandokan TV series by Nicole Braida

    Published 2025-02-01
    “… ‘From the small screen to the big screen’ proclaims the advertising text of the Super8’s of a television series distributed in 1979 by the German company Piccolo Film, emphasizing the novelty and the potential of format. …”
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    Review on Intelligent Governance of Physical Fitness of College Students under the Background of Big Data by Qing Liu, Zhenzhi Li, Shangli Liu

    Published 2022-01-01
    “…The advent of the era of big data has promoted the reform of sports governance, and intelligent governance is becoming a strategic choice and a new trend to promote the physical fitness development of college students. …”
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    Design of Updating Encryption Algorithm for Privacy Big Data Based on Consortium Blockchain Technology by Lei Liu, Xue Liu, Jiahua Wan

    Published 2022-01-01
    “…The existing privacy big data encryption algorithm cannot achieve real-time update of big data and repeat more big data, resulting in low attack resistance and more malicious attack data. …”
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    HSDP: A Hybrid Sampling Method for Imbalanced Big Data Based on Data Partition by Liping Chen, Jiabao Jiang, Yong Zhang

    Published 2021-01-01
    “…The classical classifiers are ineffective in dealing with the problem of imbalanced big dataset classification. Resampling the datasets and balancing samples distribution before training the classifier is one of the most popular approaches to resolve this problem. …”
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    Research and development of thick plate shape prediction system based on industrial big data by Yufei MA, Changxin LIU, Wei KONG, Jinliang DING

    Published 2021-09-01
    “…Thick plate shape is one of the important indicators to measure the quality of thick plate products.The timely prediction of the final plate shape in production is of great significance for adjusting the operation and control of thick plate production.In actual industrial production, thick plate data has many characteristics, such as multiple coupling information, large amount of redundant information, and multi-source heterogeneity of data.Combining the needs of thick plate shape prediction, a thick plate shape prediction system was designed and developed.The data dump function was used to filter and preprocess the industrial big data to remove the coupling information and redundant variables in the data.LSTM neural network, convolutional neural network and 3D convolutional neural network were used to extract data features from data of different dimensions, and the features were fused based on the maximum mutual information coefficient to establish an integrated learning prediction model, which effectively solved the modeling difficulties caused by multi-source heterogeneous data.The actual industrial data of a domestic thick plate production line was used for verification, and the results showed the effectiveness of the developed system.…”
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    Statistics release and privacy protection method of location big data based on deep learning by Yan YAN, Yiming CONG, Mahmood Adnan, Quanzheng SHENG

    Published 2022-01-01
    “…Aiming at the problems of the unreasonable structure and the low efficiency of the traditional statistical partition and publishing of location big data, a deep learning-based statistical partition structure prediction method and a differential publishing method were proposed to enhance the efficacy of the partition algorithm and improve the availability of the published location big data.Firstly, the two-dimensional space was intelligently partitioned and merged from the bottom to the top to construct a reasonable partition structure.Subsequently, the partition structure matrices were organized as a three-dimensional spatio-temporal sequence, and the spatio-temporal characteristics were extracted via the deep learning model in a bid to realize the prediction of the partition structure.Finally, the differential privacy budget allocation and Laplace noise addition were implemented on the prediction partition structure to realize the privacy protection of the statistical partition and publishing of location big data.Experimental comparison of the real location big data sets proves the advantages of the proposed method in improving the querying accuracy of the published location big data and the execution efficiency of the publishing algorithm.…”
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    Femtosecond Laser and Big-Bubble Deep Anterior Lamellar Keratoplasty: A New Chance by Luca Buzzonetti, Gianni Petrocelli, Paola Valente

    Published 2012-01-01
    “…To report the 12-month follow-up after big-bubble deep anterior lamellar keratoplasty (DALK) assisted by femtosecond laser that we have called IntraBubble. …”
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    Study on a New Method of Link-Based Link Prediction in the Context of Big Data by Chen Jicheng, Chen Hongchang, Li Hanchao

    Published 2021-01-01
    “…This research is aimed at finding the most appropriate link-based link prediction methods in the context of big data based on supervised learning. There is a tone of books written on the same; nonetheless, they are core issues that are not always addressed in these studies, which are critical in understanding the concept of link prediction. …”
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