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Titlebook: Smart Computing and Communication; 4th International Co Meikang Qiu Conference proceedings 2019 Springer Nature Switzerland AG 2019 artific

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楼主: JAR
发表于 2025-3-28 17:16:54 | 显示全部楼层
A Survey of Deep Learning Applied to Story Generation,its background, and the current state of research. We then summarize and analyze the standard methods of story generation. Based on various divisions of user constraints, the story-generation methods are divided into three categories: the theme-oriented model, the storyline-oriented model, and the h
发表于 2025-3-28 21:03:57 | 显示全部楼层
A Smart Roll Wear Check Scheme for Ensuring the Rolling Quality of Steel Plates,ntitatively judge roll wear state. Lastly, a back-propagation (BP) neural network model for recognition and judgment for roll wear is established. It provides an experimental test to show that the five parameters as a quantitative evaluation for roll wear morphology are effective. By processing the
发表于 2025-3-29 00:17:17 | 显示全部楼层
Hierarchically Channel-Wise Attention Model for Clean and Polluted Water Images Classification,ive combination of features to boost classification performance. Experimental results on a latest water image dataset (reporting 71.2% in accuracy) with several comparative methods demonstrate the effectiveness and robustness of the proposed model incorporating CNN for water image classification.
发表于 2025-3-29 06:50:28 | 显示全部楼层
Do Top Social Apps Effect Voice Call? Evidence from Propensity Score Matching Methods,sitive effects of frequent use of Wechat on traditional mobile phone calls. But for QQ, we found that frequent use of QQ reduces mobile phone calls. The conclusion provides a new theoretical feature for business package recommendation, namely, the frequency of mobile social APPs. For WeChat users wh
发表于 2025-3-29 08:12:09 | 显示全部楼层
Automated Classification of Attacker Privileges Based on Deep Neural Network,(NVD) to validate the effectiveness of the IG-DNN model. We observe that prerequisite and postcondition privileges can be generated with overall average F-measure of 99.53% and 98.90% with the IG-DNN models, respectively. Moreover, compared with Naïve Bayes, KNN, and SVM, the IG-DNN model has achiev
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Zhao Wang,Yanqi Wang,Yanan Zhang,Yangyang Liu,Chao Ma,Haijun Wangchers to this new discipline; thus we use a plain, tutorial style, and complement the description of algorithms with examples and exercises. We attempt to achieve a balance be­ tween theoretical foundations and technological issues; thus we present a careful introduction to the new language Datalog,
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