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Titlebook: Intelligent Systems Design and Applications; 20th International C Ajith Abraham,Vincenzo Piuri,Ana Madureira Conference proceedings 2021 Th

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樓主: Annihilate
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發(fā)表于 2025-3-27 00:13:00 | 只看該作者
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發(fā)表于 2025-3-27 01:54:17 | 只看該作者
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發(fā)表于 2025-3-27 07:16:40 | 只看該作者
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發(fā)表于 2025-3-27 11:20:00 | 只看該作者
ImageFuse: A Multi-view Image Featurization Framework for Visual Question Answering,poses a novel image featurization framework named ImageFuse to improve the task of VQA. It implements a combination of feature fusion networks to form a fine-grained image representation instead of directly adopting common representations from the popular ImageNet CNN models via transfer learning. T
35#
發(fā)表于 2025-3-27 16:06:10 | 只看該作者
Cooperative Advanced Driver Assistance Systems: A Survey and Recent Trends,flow deficiency. Therefore, . (C-ADAS) have been proposed to prevent accidents and enhance the road users’ safety. C-ADAS seem to have a considerable potential for road safety and traffic efficiency improvement, by considering different types of situations and proposing various functionalities. This
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發(fā)表于 2025-3-27 19:29:07 | 只看該作者
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發(fā)表于 2025-3-27 22:23:14 | 只看該作者
Employment of Pre-trained Deep Learning Models for Date Classification: A Comparative Study,has various data types that have almost the same appearance and makes classification much more difficult. To overcome these limitations, deep learning offers effective models that automatically extract features better than traditional machine learning techniques. Although deep learning models have s
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發(fā)表于 2025-3-28 04:09:53 | 只看該作者
39#
發(fā)表于 2025-3-28 09:35:01 | 只看該作者
Learning Spherical Word Vectors for Opinion Mining and Applying on Hotel Reviews,r deficiencies and better their performance. In this paper, we propose an opinion mining approach that is applied to hotel reviews. The approach combines both lexical and word vectors’ methods to classify a review. An opinion-oriented sphere of word vectors is constructed, where words correspond to
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發(fā)表于 2025-3-28 13:24:50 | 只看該作者
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