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Titlebook: Advances in Computational Collective Intelligence; 16th International C Ngoc-Thanh Nguyen,Bogdan Franczyk,Adrianna Kozierk Conference proce

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發(fā)表于 2025-3-23 10:44:46 | 只看該作者
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發(fā)表于 2025-3-23 21:05:35 | 只看該作者
Franz-Rudolf Esch,Thorsten M?llthe framework of machine translation post-editing technology. As a model for choosing synonyms, a maximum entropy model has been developed, the distinctive feature of which is the consideration of contextual words located at any distance from the translated word in a sentence (non-consecutive colloc
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發(fā)表于 2025-3-23 22:31:25 | 只看該作者
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發(fā)表于 2025-3-24 04:59:34 | 只看該作者
https://doi.org/10.1007/978-3-322-99592-6a disadvantage for individuals who speak Swahili. This research seeks to rectify this disparity by employing advanced generative artificial intelligence models, specifically tailored iterations of the BERT algorithm, to facilitate the production of Swahili news articles. Our methodology entails enha
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發(fā)表于 2025-3-24 09:37:32 | 只看該作者
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發(fā)表于 2025-3-24 12:23:45 | 只看該作者
Zufriedenheits- und Kundenbindungsmanagementm and decide whether it returns the expected output. Unfortunately, budget and temporal constraints limit the amount of testing that can be applied to the system. Therefore, a . selection of tests will reduce the resources devoted to testing while keeping an effective validation process. In this pap
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發(fā)表于 2025-3-24 15:05:55 | 只看該作者
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發(fā)表于 2025-3-24 19:57:24 | 只看該作者
Der Kundenbeziehungs-Lebenszyklust forward by stakeholders to deal with situations of drought and water shortage. The case study is the state of Arizona (USA), where these situations are multiplying and intensifying. The analysis combines knowledge gained from field surveys with the analysis of stakeholder networks and discourses c
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發(fā)表于 2025-3-24 23:18:39 | 只看該作者
Hajo Hippner,René Rentzmann,Klaus D. Wildein the binary classification of selected datasets containing color and monochrome samples with variable resolutions. Additionally, it was examined whether there are factors influencing the effectiveness of the applied ANN and CNN networks. Based on the obtained results, it can be unequivocally state
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