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Results for “"Ashfia Jannat Keya"”

11 results

A Comprehensive Review on Fake News Detection With Deep Learning

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M. F. Mridha, Ashfia Jannat Keya, Md. Abdul Hamid, Muhammad Mostafa Monowar et al.

Journal: IEEE AccessYear: 2021Citations: 252

A protuberant issue of the present time is that, organizations from different domains are struggling to obtain effective solutions for detecting online-based fake news. It is quite thought-provoking to distinguish fake information on the internet as it is often written to deceive users. Compared wit...

Social SciencesSociology and Political ScienceMisinformation and Its ImpactsOpen Access
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A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis

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M. F. Mridha, Md. Abdul Hamid, Muhammad Mostafa Monowar, Ashfia Jannat Keya et al.

Journal: CancersYear: 2021Citations: 91

Breast cancer is now the most frequently diagnosed cancer in women, and its percentage is gradually increasing. Optimistically, there is a good chance of recovery from breast cancer if identified and treated at an early stage. Therefore, several researchers have established deep-learning-based autom...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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AugFake-BERT: Handling Imbalance through Augmentation of Fake News Using BERT to Enhance the Performance of Fake News Classification

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Ashfia Jannat Keya, Md. Anwar Hussen Wadud, M. F. Mridha, Mohammed Alatiyyah et al.

Journal: Applied SciencesYear: 2022Citations: 51

Fake news detection techniques are a topic of interest due to the vast abundance of fake news data accessible via social media. The present fake news detection system performs satisfactorily on well-balanced data. However, when the dataset is biased, these models perform poorly. Additionally, manual...

Social SciencesSociology and Political ScienceMisinformation and Its ImpactsOpen Access
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G-BERT: An Efficient Method for Identifying Hate Speech in Bengali Texts on Social Media

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Ashfia Jannat Keya, Md. Mohsin Kabir, Nusrat Jahan Shammey, M. F. Mridha et al.

Journal: IEEE AccessYear: 2023Citations: 34

The rapid increase in Internet users has increased online concerns such as hate speech, abusive texts, and harassment. In Bangladesh, hate text in Bengali is frequently used on various social media platforms to condemn and abuse individuals. However, Research on recognizing hate speech in Bengali te...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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FakeStack: Hierarchical Tri-BERT-CNN-LSTM stacked model for effective fake news detection

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Ashfia Jannat Keya, Hasibul Hossain Shajeeb, Md. Saifur Rahman, M. F. Mridha

Journal: PLoS ONEYear: 2023Citations: 19

False news articles pose a serious challenge in today's information landscape, impacting public opinion and decision-making. Efforts to counter this issue have led to research in deep learning and machine learning methods. However, a gap exists in effectively using contextual cues and skip connectio...

Social SciencesSociology and Political ScienceMisinformation and Its ImpactsOpen Access
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Fake News Detection Based on Deep Learning

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Ashfia Jannat Keya, Shahid Afridi, Afroza Siddique Maria, Snaha Sadhu Pinki et al.

Year: 2021Citations: 17

Fake news is invalid and misleading information that is conveyed as accurate news. Fake news detection has become indispensable in modern society because of the extreme propagation of false news on social platforms and news portals. Several studies have been released that use fake news on social pla...

Social SciencesSociology and Political ScienceMisinformation and Its Impacts
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A Systematic Review on Airlines Industries based on Sentiment Analysis and Topic Modeling

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Khan Md Ha, Usman Naseem, Ashfia Jannat Keya, Shithi Maitra et al.

Journal: Research SquareYear: 2023Citations: 11

<title>Abstract</title> One of the most important things that managers need is feedback from customers about the quality of the products and services their firms offer. Getting feedback from customers is now typically done via online channels including social media, instant messaging, and review web...

Physical SciencesComputer ScienceArtificial IntelligenceOpen Access
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Systematic Literature Review on Sentiment Analysis in Airline Industry

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Khan Md. Hasib, Usman Naseem, Ashfia Jannat Keya, Shithi Maitra et al.

Journal: SN Computer ScienceYear: 2024Citations: 6
Physical SciencesComputer ScienceArtificial Intelligence
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Recurrent ALBERT for recommendation: A hybrid architecture for accurate and lightweight restaurant recommendations

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Ashfia Jannat Keya, Sayefa Arafah Arpona, Md. Mohsin Kabir, M. F. Mridha

Journal: Cognitive Computation and SystemsYear: 2023Citations: 3

Abstract The online recommendation system has benefited the traditional restaurant business economically. However, finding the best restaurant during rush time and visiting new places is tough. This objective is addressed through a restaurant recommendation approach, which impacts the human decision...

Physical SciencesComputer ScienceInformation SystemsOpen Access
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Federated Learning-Based IoT Intrusion Detection Using Multi-Objective Client Selection with Attention-Enhanced CNN

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Nourin Khandaker, Ashfia Jannat Keya, Fernaz Narin Nur

Year: 2025

The rapid expansion of IoT networks has amplified their vulnerability to cyberattacks, necessitating IDS that balances accuracy, privacy and scalability. Traditional centralized IDS approaches incur high communication overhead and privacy risks, making them unsuitable for resource-constrained IoT en...

Physical SciencesComputer ScienceComputer Networks and Communications
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Review of: "The Future of Education and Human Development in The Era of Generative Pre-Trained Transformer (GPT) Models"

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Ashfia Jannat Keya

Year: 2023
Social SciencesEducationHigher Education Learning PracticesOpen Access
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