Showing 861 - 880 results of 2,101 for search '(pattern OR patterns) research algorithms', query time: 0.20s Refine Results
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    Relationship Between Weight Status and Health-Related Quality of Life in School-age Children in China by Mandana Zanganeh, Peymané Adab, Bai Li, Miranda Pallan, Wei J. Liu, Lin Rong, Wei Liu, James Martin, Kar K. Cheng, Emma Frew

    Published 2022-03-01
    “…CHU-9D-CHN utility scores were generated using 2 scoring algorithms (UK and Chinese tariffs). Height and weight measures were taken at school by trained researchers using standardized methods, and BMI _z_ scores were calculated using the World Health Organization 2007 growth charts. …”
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    Scheduling with sequence-dependent setup times in short-term production planning: A main path analysis-based review by Kuo-Ching Ying, Pourya Pourhejazy, Zhi-Rong Lin

    Published 2025-06-01
    “…This study aims to provide a systematic review of setup times in the short-term production planning literature, using an objective, algorithm-based approach. The Main Path Analysis (MPA) and Cluster Analysis (CA) methods are employed to identify patterns of knowledge development and the most significant advancements in the field. …”
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    An Analysis of Consumer Purchase Behavior Following Cart Addition in E-Commerce Utilizing Explainable Artificial Intelligence by Ramazan Esmeli, Aytac Gokce

    Published 2025-02-01
    “…This study highlights the significant impact of session-specific factors, like price fluctuations, category transitions, and geographical context, coupled with consumers’ previous browsing patterns, on model predictions.…”
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    Systematic Construction and Validation of a Novel Ferroptosis-Related Gene Model for Predicting Prognosis in Cervical Cancer by Wentao Qin, Can He, Daqiong Jiang, Yang Gao, Yu Chen, Min Su, Yuanjun Yang, Zhao Yang, Hongbing Cai, Hua Wang

    Published 2022-01-01
    “…Two molecular subgroups (cluster 1 and cluster 2) with different FRG expression patterns were recognized. A ferroptosis-related model based on 4 genes (VEGFA, CA9, DERL3, and RNF130) was developed through TCGA database to identify the unfavorable prognosis cases. …”
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