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Titlebook: New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques; Julian Andres Zapata-Cortes,Giner Alor-Hernánd

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楼主: Julienne
发表于 2025-3-23 11:51:04 | 显示全部楼层
Operational Risks Management in the Reverse Logistics of Lead-Acid Batteriesriority of the risks considered. These prioritized risks help organizations related to this activity to develop action plans to mitigate these risks. Once the most critical risks are defined, actions to mitigate or eliminate them were proposed.
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Comparative Analysis of Decision Tree Algorithms for Data Warehouse Fragmentationtion metrics (Precision, ROC Area, Recall, and F-measure) for different selected data sets using the SSB (Star Schema Benchmark). Several experiments were carried out using two attribute selection methods: Best First and Greedy Stepwise, the data sets were pre-processed using the Class Conditional P
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New Perspectives on Enterprise Decision-Making Applying Artificial Intelligence Techniques
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racterization of the latter from continuous parameter martingales, are covered. Stopping (or optional) times play a key role in all this work, and some classifications of these are given. The treatment also includes the Stratonovich integrals as well as an identification of the square integrable mar
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er stochastic differential equations and its progression to stochastic flows for the . .-bounded case. This work takes up Sections 4 and 5 below, and most of Section 4 appears in book form for the first time. Several other results are included in the Complements section.
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Carlos Alexander Grajales,Santiago Medina Hurtado CCs exist, the same is true for ICCs, and as far as Monte Carlo simulation is concerned, there does not seem to be much difference in difficulty either. On the other hand, one might expect that progress in computation in simple and fixed recourse models can be used for computation with ICCs.
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