Titlebook: Cognitive Computing – ICCC 2023; 7th International Co Xiuqin Pan,Ting Jin,Liang-Jie Zhang Conference proceedings 2024 The Editor(s) (if app

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书目名称Cognitive Computing – ICCC 2023影响因子(影响力)




书目名称Cognitive Computing – ICCC 2023影响因子(影响力)学科排名




书目名称Cognitive Computing – ICCC 2023网络公开度




书目名称Cognitive Computing – ICCC 2023网络公开度学科排名




书目名称Cognitive Computing – ICCC 2023被引频次




书目名称Cognitive Computing – ICCC 2023被引频次学科排名




书目名称Cognitive Computing – ICCC 2023年度引用




书目名称Cognitive Computing – ICCC 2023年度引用学科排名




书目名称Cognitive Computing – ICCC 2023读者反馈




书目名称Cognitive Computing – ICCC 2023读者反馈学科排名

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0302-9743 na, during December 17–18, 2023..The 9 full papers in this book were carefully reviewed and selected from 14 submissions. They are organized in topical sections as follows: Cognitive Computing Technologies and Infrastructure, Cognitive Computing Applications, Sensing Intelligence, Cognitive Analysis

令人发腻

Conference proceedings 2024 December 17–18, 2023..The 9 full papers in this book were carefully reviewed and selected from 14 submissions. They are organized in topical sections as follows: Cognitive Computing Technologies and Infrastructure, Cognitive Computing Applications, Sensing Intelligence, Cognitive Analysis, Mobile S

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High-Precision Detection of Suicidal Ideation on Social Media Using Bi-LSTM and BERT Models Random Forest, XGBoost, and Logistic Regression before transitioning to advanced deep learning models. The Bi-LSTM and BERT models emerged as top performers, achieving detection accuracies of 97% and 98%, respectively. While our study is constrained by dataset limitations and potential biases, it m

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ENER: Named Entity Recognition Model for Ethnic Ancient Books Based on Entity Boundary Detectionries and generates the named entity tag sequence of ancient books. Experiments on the corpus of ancient books named entities and other general Chinese data sets show the effectiveness of our approach. On the one hand, ENER has improved the accuracy, recall and F1 value by 2.09%, 1.62% and 1.85% resp

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An Enhanced Opposition-Based Golden-Sine Whale Optimization Algorithmefined initial population. Furthermore, we introduce the Golden Sine Algorithm to modify the optimization approach of WOA, fostering an equilibrium between global exploration and exploitation abilities. In our evaluation, the proposed algorithm is assessed on nine classic benchmark functions with a

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T4S: Two-Stage Screenplay Synopsis Summary Generation with Turning PointsLM, rewrites key scene text and concatenates it to form the final plot summary of the movie script. The results of the implementation show that the proposed method in this paper outperforms baseline methods.

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Multi-Factor Water Level Prediction Based on IndRNN-Attentionof specific historical moments for water level prediction. Experimental results demonstrate the effectiveness of our proposed method. Besides, the findings of this paper have practical implications for industry supervisors and cargo-carrying ships, providing scientific guidance for precise ship pre-