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Titlebook: Advances in Soft Computing; 20th Mexican Interna Ildar Batyrshin,Alexander Gelbukh,Grigori Sidorov Conference proceedings 2021 Springer Nat

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發(fā)表于 2025-3-23 10:13:49 | 只看該作者
STClass: A Method for Determining the Sensitivity of Documentsions that it can cause to its owner. Despite the risks and possible threats, the information must always be kept available to users, therefore, alternatives must be available to protect, detect, and prevent the leakage of sensitive information. A particular case of this problem is the leakage of sen
12#
發(fā)表于 2025-3-23 17:17:49 | 只看該作者
Plagiarism Detection in Students’ Answers Using FP-Growth Algorithmstudents has increased. Modern plagiarism detection systems work well with external plagiarism, they allow to weed out works and answers that completely copy someone else’s published ideas. Using natural language processing methods, the proposed algorithm allows not only detecting plagiarism, but al
13#
發(fā)表于 2025-3-23 21:11:19 | 只看該作者
Determining the Relationship Between the Letters in the Voynich Manuscript Splitting the Text into Puages. This study investigated the effectiveness of examining point detail versus examining the full picture all at once in a single study. In the approach of this study, one of these ways, some letter patterns based on frequency and word length were identified, including connections at different co
14#
發(fā)表于 2025-3-23 23:11:31 | 只看該作者
The Comparative Approach to Solving Temporal-Constrained Scheduling Problem Under Uncertainty allows considering temporal-constrained schedules and determining the necessary resources allocation plan for the activities. A case-study example introduces and estimates three methods for constructing and calculating the main indicators necessary for analyzing the scheduling problem. Three mathem
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發(fā)表于 2025-3-24 03:15:54 | 只看該作者
16#
發(fā)表于 2025-3-24 08:04:26 | 只看該作者
Detecting Traces of Self-harm in Social Media: A Simple and Interpretable Approacheir experiences, worries, and personal concerns. Because of this, there is a growing interest in analyzing this kind of content to identify people who commit self-harm, which is often one of the first signs of suicide risk. Recently, methods based on Deep Learning have shown good results in this tas
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發(fā)表于 2025-3-24 12:32:32 | 只看該作者
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發(fā)表于 2025-3-24 15:13:23 | 只看該作者
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發(fā)表于 2025-3-24 22:07:09 | 只看該作者
20#
發(fā)表于 2025-3-25 01:19:28 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/149753.jpg
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