pone.0323574.t014 - Research on two-stage dynamic optimization model and algorithm for agricultural products joint distribution network based on vehicles and customers sharing unde... حسب Meilin Zhu (688698)

pone.0323574.t016 - Research on two-stage dynamic optimization model and algorithm for agricultural products joint distribution network based on vehicles and customers sharing unde... حسب Meilin Zhu (688698)

pone.0323574.t015 - Research on two-stage dynamic optimization model and algorithm for agricultural products joint distribution network based on vehicles and customers sharing unde... حسب Meilin Zhu (688698)

Parameters of ML algorithms. حسب Md. Maeen Molla (20827041)

Ablation experiments of data accumulation and resource utilization. حسب Yixian Wen (12201388)

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CU segmentation process. حسب Hui Yang (91136)

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Selection strategy process. حسب Hui Yang (91136)

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Comparison of seed node selection methods. حسب Giuseppe Agapito (104634)

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Overview of the main features of the mentioned software tools. “” represents a feature that has not been possible to evaluate. حسب Giuseppe Agapito (104634)

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This figure shows a non-exhaustive representation of the main models reported in our discussion, for illustrative purpose only. حسب Giuseppe Agapito (104634)

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Classical Predictive Coding for motion processing. حسب Elnaz Nemati (21402730)

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CY45-0.5/1#9 Code file for data processing and prediction results. حسب Yanhua Xian (21417128)

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Image processing steps applied in our research. حسب Md Junayed Hossain (22615268)

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Dynamic resource allocation process. حسب Yixian Wen (12201388)

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Countries and data availability period. حسب Angélica C. G. Santos (21553405)

MAE, MAPE, MSE, RMSE, <i>R</i>² and Training Time (ms) for different algorithms utilised in this research. حسب Md Junayed Hossain (22615268)

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Minimal data set definition. حسب Hui Yang (91136)

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Algorithm process. حسب Wei Cui (92129)

Database after processed itemset <i>XEDC</i>. حسب Loan T. T. Nguyen (20660789)

"…The insights gained from higher abstraction levels are somewhat more valuable than those from lower levels since they contain the outlines of the data. To address this issue, this work suggests two PPUM algorithms, namely <b>MLHProtector</b> and <b>FMLHProtector</b>, to operate at all abstraction levels in a transaction database to protect them from data mining algorithms. …"

Database after processed itemset <i>XEDC</i>. حسب Loan T. T. Nguyen (20660789)

"…The insights gained from higher abstraction levels are somewhat more valuable than those from lower levels since they contain the outlines of the data. To address this issue, this work suggests two PPUM algorithms, namely <b>MLHProtector</b> and <b>FMLHProtector</b>, to operate at all abstraction levels in a transaction database to protect them from data mining algorithms. …"