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In a previous conference paper, we described an exploratory study on using Granger to predict bugs (Couto et al. 2012).
This paper describes a new sensitivity study on using ADR to stabilize the future LEO debris environment.
This paper presents a study on using deep learning for the modelling of a post-combustion CO2 capture process.
This paper describes a recent study on using fly ash for backfilling abandoned room and pillar mines.
A case study on using the proposed approach to analyze 94 stores from a supermarket chain is presented.
A study on using the proposed multicast system for all multimedia including on-demand services such as VOD, MOD, and NOD is in progress.
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Finally, we report two case studies on using OGs.
Recently, there are many studies on using pressure transient data for naturally fractured reservoir modelling.
Furthermore, there are no empirical studies on using RCA in synchronous retrospectives of geographically distributed teams.
Recently, there are studies on using neural networks (NN) to learn the nonlinear mapping between clean and distorted speech coefficients.
The goal of this paper is to provide a comprehensive review of existing studies on using GP for automated design of production scheduling heuristics.
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