Titlebook: Intelligent Decision Technologies; Proceedings of the 1 Ireneusz Czarnowski,Robert J. Howlett,Lakhmi C. Ja Conference proceedings 2020 The

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Solving Job Shop Scheduling with Parallel Population-Based Optimization and Apache Sparkrocess of search for the best solution. The suggested architecture,?based on the A-Team concept, is used to solve the Job Shop Scheduling Problem (JSP) instances. Computational experiment is carried out to compare the results from solving a benchmark set of the problem instances obtained using the p

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Predicting Profitability of Peer-to-Peer Loans with Recovery Models for Censored Dataisk. In fact, high default rates and low recovery rates are the norms. Potential investors want to know the expected profit in these loans, which means they need to model both defaults and recoveries. However, real-world data sets are censored in the sense that they have many ongoing loans, where fu

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Manufacturing as a Service in Industry 4.0: A Multi-Objective Optimization Approachitability, and competitiveness.?In order to improve the availability of the companies’ own production facilities without having to rely on cost-intensive reserve machines or other means of minimizing downtime, it is also necessary, beyond planning the production smartly, to be able to outsource the

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Explanatory Monitoring of Discrete-Event Systemshe root cause of an observed misbehavior is a set of faults.?This set-oriented perspective of the diagnosis results was later adopted also for dynamical systems, although it fits neither the temporal nature of their observations, which are gathered over a time interval, nor the temporal evolution of

Incumbent

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Optimal Quality-Based Recycling and Reselling Prices of Returned SEPs in IoT Environmentoducts) in a real-time way. In the paper, considering the characteristic of SEPs, an algorithm based on GA (genetic algorithm) is proposed for OEM to determine recycling and reselling prices of returned SEPs. A benchmark example is utilized to verify the effectiveness of the proposed algorithm. We f

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On a Novel Representation of Multiple Textual Documents in a Single Graphlgorithm for text categorization. The proposed approach enables the investigation of the importance of a term into a whole corpus of documents and supports the inclusion of relationship edges between documents, thus enabling the calculation of important metrics as far as documents are concerned. Com

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