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| 1 | Fake News Classification Using a Fuzzy Convolutional Recurrent Neural Network显示文摘In recent years,social media platforms have gained immense popularity.As a result,there has been a tremendous increase in content on social media platforms.This content can be related to an individual’s sentiments,thoughts,stories,advertisements,and news,among many other content types.With the recent increase in online content,the importance of identifying fake and real news has increased.Although,there is a lot of work present to detect fake news,a study on Fuzzy CRNN was not explored into this direction.In this work,a system is designed to classify fake and real news using fuzzy logic.The initial feature extraction process is done using a convolutional recurrent neural network(CRNN).After the extraction of features,word indexing is done with high dimensionality.Then,based on the indexing measures,the ranking process identifies whether news is fake or real.The fuzzy CRNN model is trained to yield outstanding resultswith 99.99±0.01%accuracy.This work utilizes three different datasets(LIAR,LIAR-PLUS,and ISOT)to find the most accurate model. | Dheeraj Kumar Dixit Amit Bhagat Dharmendra Dangi | 2022 | Computers, Materials & Continua2022，，6： | 1 |
| 2 | Hypomethylation of Noncoding DNA Regions and Overexpression of the Long Noncoding RNA, AFAP1-AS1 , in Barrett’s Esophagus and Esophageal Adenocarcinoma显示文摘 | Wenjing Wu Tushar D. Bhagat Xue Yang Jee Hoon Song Yulan Cheng Rachana Agarwal John M. Abraham Sariat Ibrahim Matthias Bartenstein Zulfiqar Hussain Masako Suzuki Yiting Yu Wei Chen Charis Eng John Greally Amit Verma Stephen J. Meltzer | 2013 | Gastroenterology2013，，5： | 1 |
| 3 | Role of DNA Methylation in the Pathogenesis and Treatment of Myelodysplastic Syndromes显示文摘 | Hina Khan Cristina Vale Tushar Bhagat Amit Verma | 2013 | Seminars in Hematology2013，，1： | 1 |
| 4 | Role of DNA Methylation in the Pathogenesis and Treatment of Myelodysplastic Syndromes显示文摘 | Hina Khan Cristina Vale Tushar Bhagat Amit Verma | 2013 | Seminars in Hematology2013，，1： | 1 |
| 5 | Hypomethylation of Noncoding DNA Regions and Overexpression of the Long Noncoding RNA, AFAP1-AS1 , in Barrett’s Esophagus and Esophageal Adenocarcinoma显示文摘 | Wenjing Wu Tushar D. Bhagat Xue Yang Jee Hoon Song Yulan Cheng Rachana Agarwal John M. Abraham Sariat Ibrahim Matthias Bartenstein Zulfiqar Hussain Masako Suzuki Yiting Yu Wei Chen Charis Eng John Greally Amit Verma Stephen J. Meltzer | 2013 | Gastroenterology2013，，5： | 1 |
| 6 | Sentiment Analysis on Social Media Using Genetic Algorithm with CNN显示文摘There are various intense forces causing customers to use evaluated data when using social media platforms and microblogging sites.Today,customers throughout the world share their points of view on all kinds of topics through these sources.The massive volume of data created by these customers makes it impossible to analyze such data manually.Therefore,an efficient and intelligent method for evaluating social media data and their divergence needs to be developed.Today,various types of equipment and techniques are available for automatically estimating the classification of sentiments.Sentiment analysis involves determining people’s emotions using facial expressions.Sentiment analysis can be performed for any individual based on specific incidents.The present study describes the analysis of an image dataset using CNNswithPCA intended to detect people’s sentiments(specifically,whether a person is happy or sad).This process is optimized using a genetic algorithm to get better results.Further,a comparative analysis has been conducted between the different models generated by changing the mutation factor,performing batch normalization,and applying feature reduction using PCA.These steps are carried out across five experiments using theKaggledataset.The maximum accuracy obtained is 96.984%,which is associated with the Happy and Sad sentiments. | Dharmendra Dangi Amit Bhagat Dheeraj Kumar Dixit | 2022 | Computers, Materials & Continua2022，，3： | 0 |
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