標(biāo)題: Titlebook: Combating Fake News with Computational Intelligence Techniques; Mohamed Lahby,Al-Sakib Khan Pathan,Wael Mohamed Sh Book 2022 The Editor(s) [打印本頁] 作者: corrupt 時間: 2025-3-21 19:07
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書目名稱Combating Fake News with Computational Intelligence Techniques被引頻次
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書目名稱Combating Fake News with Computational Intelligence Techniques讀者反饋
書目名稱Combating Fake News with Computational Intelligence Techniques讀者反饋學(xué)科排名
作者: Frisky 時間: 2025-3-21 23:57 作者: 音樂戲劇 時間: 2025-3-22 03:36
Stable Images and Discriminants of fake news on the Internet, analyzing the most important Deep learning algorithms and studies on their effectiveness in detecting distrustful information. The research methodology employed was bibliographic, documentary and descriptive. The information was collected from several scientific articl作者: COST 時間: 2025-3-22 04:47
David Mond,Juan J. Nu?o-Ballesterosia (SM). The broad dissemination of misinformation and FN can create harmful societal repercussions. Despite current improvements, spotting fake news remains difficult owing to its intricacy, multiplicity, multi-modality, and fact-scrutiny or annotation expenses. Therefore, there is a necessity for 作者: Vasodilation 時間: 2025-3-22 10:58 作者: recede 時間: 2025-3-22 12:52
Numerical Computation of Singularity Sets,dia there is widespread fake news with misleading information leading to the chances where the reputation of the company is threatened. The influence of media has led to heights of depression and mental health issues as they don’t find the real cause of it. This makes it an important issue that need作者: recede 時間: 2025-3-22 20:45
Oriol Bohigas,Montserrat Manubens,Lluís Rostechnology and thus, contributes to the increase of spreading of fake news. The current study experiments and investigates machine learning models that classify news as either fake or real. Five classifiers were implemented using Random Forest, Support Vector Machine, Gradient Boosting, Logistic Reg作者: 不能和解 時間: 2025-3-22 22:10
Introduction to Sato’s microlocal analysishe plethora of content choices. Taking this into account, fake news detection/classification is definitely becoming of paramount importance in order to avoid the so-called reality vertigo, preclude misinformation and protect actual reality. This chapter presents a comprehensive performance evaluatio作者: Acupressure 時間: 2025-3-23 04:59
Introduction to Sato’s microlocal analysisedibility and reliability, to check and be aware of the news is needed. Based on the artificial intelligence and suitable k-means grouping method, the existed and proved fake news could be used to train the proposed system. The features of the fake news could be classified and identified according t作者: lanugo 時間: 2025-3-23 06:12 作者: constitute 時間: 2025-3-23 10:23 作者: 傻瓜 時間: 2025-3-23 15:35 作者: Iniquitous 時間: 2025-3-23 20:06
,Almost split sequences for ?-graded rings,ght. At its core, it poses a chilling question—what do we do if our worldview is fundamentally wrong? Even if internally consistent, what if it does not match the real world? Are our beliefs justified, or could we become indoctrinated from living in a “bubble”? If the latter is true, how could we ev作者: Breach 時間: 2025-3-24 01:28 作者: 持續(xù) 時間: 2025-3-24 06:05 作者: 一窩小鳥 時間: 2025-3-24 09:47 作者: Guaff豪情痛飲 時間: 2025-3-24 14:41
Combating Fake News with Computational Intelligence Techniques978-3-030-90087-8Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: gentle 時間: 2025-3-24 16:31
https://doi.org/10.1007/978-3-030-90087-8Computational Intelligence; Fake News; Data Science; Artificial Intelligence; Machine Learning/ Deep Lea作者: profligate 時間: 2025-3-24 20:28
978-3-030-90089-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: LUMEN 時間: 2025-3-25 02:32 作者: 樂章 時間: 2025-3-25 04:52 作者: eustachian-tube 時間: 2025-3-25 11:06 作者: 共同確定為確 時間: 2025-3-25 13:50 作者: 心痛 時間: 2025-3-25 18:32
Numerical Computation of Singularity Sets,, the chapter elaborates on developing a system using Machine Learning and Natural Language processing that uses RNN and its techniques like LSTM and Bi-LSTM for the detection of misleading information. The implementation is done for general fake news and purely Covid-19 fake news.作者: 結(jié)束 時間: 2025-3-25 21:18
Introduction to Sato’s microlocal analysisnd draws safe generic conclusions with respect to the dimensionality that each algorithm should have, the kind of training that should be performed beforehand for each one of them, and finally the method for generating vector representations of textual information.作者: 全國性 時間: 2025-3-26 03:57
Gert-Martin Greuel,Günther Trautmannthe intention to use Fintech services in Vietnam. In addition, four factors including: usefulness (SHI), ease of use (DSD), social influence (XH), and communication about Fintech services also have a positive impact on intention to use. Fintech services.作者: 太空 時間: 2025-3-26 04:32 作者: BINGE 時間: 2025-3-26 11:51 作者: 周興旺 時間: 2025-3-26 15:57
Fake News Detection Using Machine Learning and Natural Language Processing, the chapter elaborates on developing a system using Machine Learning and Natural Language processing that uses RNN and its techniques like LSTM and Bi-LSTM for the detection of misleading information. The implementation is done for general fake news and purely Covid-19 fake news.作者: 感激小女 時間: 2025-3-26 18:31
Evaluation of Machine Learning Methods for Fake News Detectionnd draws safe generic conclusions with respect to the dimensionality that each algorithm should have, the kind of training that should be performed beforehand for each one of them, and finally the method for generating vector representations of textual information.作者: 爆炸 時間: 2025-3-26 21:48
Factors Affecting the Intention of Using Fintech Services in the Context of Combating of Fake Newsthe intention to use Fintech services in Vietnam. In addition, four factors including: usefulness (SHI), ease of use (DSD), social influence (XH), and communication about Fintech services also have a positive impact on intention to use. Fintech services.作者: 歡樂中國 時間: 2025-3-27 01:53
Framework for Fake News Classification Using Vectorization and Machine Learning (ML) algorithms are then applied for classification. Two different datasets Kaggle and ISOT is used for experimentation and evaluated on the same scale using different evaluation metrics to demonstrate the efficacy of the proposed framework.作者: 迫擊炮 時間: 2025-3-27 08:14
Book 2022archers design new paradigms considering the unique opportunities associated with computational intelligence techniques. Further, the book helps readers understand computational intelligence techniques combating fake news in a systematic and straightforward way..作者: 細(xì)胞膜 時間: 2025-3-27 10:52
Introduction to Sato’s microlocal analysiso the proposed system in this research. In addition, according to these found features, the news announced or spread by the specific person, organizations, or group, could be classified as the doubtful news.作者: 原來 時間: 2025-3-27 16:46
Homology and cohomology of manifoldsng current datasets that are available for this purpose. Three models explored traditional supervised learning, while the fourth model explored transfer learning by fine-tuning the pre-trained language model for the same task. All four models yield comparable results with the fourth model achieving the best classification accuracy.作者: 可憎 時間: 2025-3-27 17:51 作者: Heretical 時間: 2025-3-27 22:36
Credibility and Reliability News Evaluation Based on Artificial Intelligent Service with Feature Sego the proposed system in this research. In addition, according to these found features, the news announced or spread by the specific person, organizations, or group, could be classified as the doubtful news.作者: nautical 時間: 2025-3-28 05:35
Deep Learning with Self-Attention Mechanism for Fake News Detectionng current datasets that are available for this purpose. Three models explored traditional supervised learning, while the fourth model explored transfer learning by fine-tuning the pre-trained language model for the same task. All four models yield comparable results with the fourth model achieving the best classification accuracy.作者: MERIT 時間: 2025-3-28 10:04 作者: Mucosa 時間: 2025-3-28 11:19
Fake News Detection in Internet Using Deep Learning: A Review result of this research, it was concluded that Deep learning techniques present a better performance than conventional methods and will be of great importance in the future of war against fake news due to their potential in automatic detection.作者: 螢火蟲 時間: 2025-3-28 15:12 作者: BILE 時間: 2025-3-28 22:19
Using Artificial Intelligence Against the Phenomenon of Fake News: A Systematic Literature Reviewws in various fields such as politics, sports, business, etc. and that these two tools have proven to be effective in classifying fake news. This study is intended to guide researchers as well as people involved in this field. It is believed that this study will help fill a gap in this field by pres作者: ARCH 時間: 2025-3-29 00:02 作者: 總 時間: 2025-3-29 04:02
Fake News Detection Using Ensemble Learning and Machine Learning Algorithmsplored. The performance of the five classifiers was evaluated using the accuracy, the F1-Score, the recall, and the precision. The attained results are promising. The ensemble classifier trained using random forest algorithm and gradient boosting algorithm outperform the other classifiers and thus i作者: 實現(xiàn) 時間: 2025-3-29 11:08 作者: 有權(quán)威 時間: 2025-3-29 13:13 作者: 瑣碎 時間: 2025-3-29 15:55
Detecting News Influence in?a?Country: One Step Forward Towards Understanding Fake Newsd similarities are tentatively pointed out. These results can be manually verified in order to determine which websites tend to draw inspiration from one another. The data gathered on every intermediate step can be queried and analyzed separately, and most notably we already use the set of hyperlink作者: Atmosphere 時間: 2025-3-29 21:53 作者: FAR 時間: 2025-3-30 01:25 作者: 油氈 時間: 2025-3-30 07:37 作者: 技術(shù) 時間: 2025-3-30 10:51
Integrals and differential equationsriteria: channel and year of publication, research type, study domain, study platform, study context, study category, feature, and machine learning techniques used to handle categorical data. The results showed that most of the selected papers use both features text/content and linguistic to design 作者: 過時 時間: 2025-3-30 13:54
The period map and the intersection formws in various fields such as politics, sports, business, etc. and that these two tools have proven to be effective in classifying fake news. This study is intended to guide researchers as well as people involved in this field. It is believed that this study will help fill a gap in this field by pres作者: 卷發(fā) 時間: 2025-3-30 18:27 作者: 撫慰 時間: 2025-3-30 22:04
