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Titlebook: Hybrid Intelligent Systems; 18th International C Ana Maria Madureira,Ajith Abraham,Maria Leonilde V Conference proceedings 2020 Springer Na

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Modelling and Predicting Individual Salaries in United Kingdom with Graph Convolutional Network,y approximately half of the UK job postings have a salary publicly displayed. Therefore, the aim of this research is to model and predict the salary of a new job, so as to improve the performance of job search and help a vast amount of job seekers better understand the market worth of their desirabl
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Predicting the Degree of Collaboration of Researchers on Co-authorship Social Networks,ng their professional knowledge and evaluating the performance of each individual researcher. In this paper, we mine the academic co-authorship social network in order to predict the potential degree of collaboration for each individual researcher on that network. Where predicting the degree of coll
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A Real-Time Monitoring System for Boiler Tube Leakage Detection,agnose and monitor the status of boiler tubes in real time. Such a system can help prevent sudden breakdown of boiler tubes installed in thermal power plants. These measures, using the proposed network-based boiler tube monitoring system, can increase the productivity and security of power plants.
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Assessing Ant Colony Optimization Using Adapted Networks Science Metrics,pired by the behavior of ants in nature, and it is commonly used to solve combinatorial optimization problems. Network Science allows studying the structure and the dynamics of networks. This area of study provides metrics used to extract global information from networks in a particular moment. This
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Clustering Support for an Aggregator in a Smart Grid Context,s, new challenges and consequently more complexity is added to the management of the sectors. In the electric sector is introduced the theme of the Smart grids and so all the concepts aggregated with it. The possibility of the existence of demand response programs and the expansion of the distribute
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