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Titlebook: Distributed Computing and Artificial Intelligence, Volume 1: 18th International Conference; Kenji Matsui,Sigeru Omatu,Sara Rodríguez Gonzá

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Soft-Sensors for Monitoring ,. , Bioproduction,e. In this paper, we show the application of SVM to the production of protein by .. The soft-sensor was trained and validated with independent data sets of batch fermentations evaluating the impact of different predictor variables and kernels. Results show that protein production can be predicted only using online measurements.
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https://doi.org/10.1007/978-981-97-4453-4 story, we used the story coherence evaluation model based on the general-purpose language model newly developed for this study, instead of the conventional evaluation metric that compares the generated story with the ground truth. We show that the proposed method can generate a more coherent story.
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https://doi.org/10.1057/978-1-137-57278-3ry nature suggests that its implementation should be composed of vector and matrix data structures. The purpose is to validate the usage of a game specification based on multi-agent systems for the game’s implementation on different platforms.
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The European Union‘s Strategic Partnerships the distance to each vehicle, and process this data to provide the vehicle speed and length. A case has experimented where modules share raw data and another case where modules share processed data. Results show that it is possible to reduce processing load up to 22% in the case of sharing processed information instead of raw data.
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