End-to-end transformer-based models in textual-based NLP

A Rahali, MA Akhloufi - AI, 2023 - mdpi.com
Transformer architectures are highly expressive because they use self-attention
mechanisms to encode long-range dependencies in the input sequences. In this paper, we …

Privacy preservation in Artificial Intelligence and Extended Reality (AI-XR) metaverses: A survey

M Alkaeed, A Qayyum, J Qadir - Journal of Network and Computer …, 2024 - Elsevier
The metaverse is a nascent concept that envisions a virtual universe, a collaborative space
where individuals can interact, create, and participate in a wide range of activities. Privacy in …

Machine learning-based text classification comparison: Turkish language context

YI Alzoubi, AE Topcu, AE Erkaya - Applied Sciences, 2023 - mdpi.com
The growth in textual data associated with the increased usage of online services and the
simplicity of having access to these data has resulted in a rise in the number of text …

Fake news detection techniques on social media: A survey

I Ali, MNB Ayub, P Shivakumara… - … and Mobile Computing, 2022 - Wiley Online Library
Social media platforms like Twitter have become common tools for disseminating and
consuming news because of the ease with which users can get access to and consume it …

Medigpt: Exploring potentials of conventional and large language models on medical data

MAT Rony, MS Islam, T Sultan, S Alshathri… - IEEE …, 2024 - ieeexplore.ieee.org
Medical text classification organizes medical documents into categories to streamline
information retrieval and support clinical decision-making. Traditional machine learning …

Novel federated decision making for distribution of anti-SARS-CoV-2 monoclonal antibody to eligible high-risk patients

A AlSereidi, SQM Salih, RT Mohammed… - … Journal of Information …, 2024 - World Scientific
Context: When the epidemic first broke out, no specific treatment was available for severe
acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The urgent need to end this …

BERT-Based Approach for Greening Software Requirements Engineering Through Non-Functional Requirements

AF Subahi - IEEE Access, 2023 - ieeexplore.ieee.org
The incorporation of sustainability principles during the requirements engineering phase of
the development life cycle constitutes greening software requirements. This incorporation …

Ensemble learning with pre-trained transformers for crash severity classification: A Deep NLP Approach

S Jaradat, R Nayak, A Paz, M Elhenawy - Algorithms, 2024 - mdpi.com
Transfer learning has gained significant traction in natural language processing due to the
emergence of state-of-the-art pre-trained language models (PLMs). Unlike traditional word …

From online reviews to smartwatch recommendation: An integrated aspect-based sentiment analysis framework

RK Ray, A Singh - Journal of Retailing and Consumer Services, 2025 - Elsevier
In the current landscape, smartwatches have gained popularity as wearable devices thanks
to their fitness tracking and health monitoring capabilities. However, the abundance of …

BTLink: automatic link recovery between issues and commits based on pre-trained BERT model

J Lan, L Gong, J Zhang, H Zhang - Empirical Software Engineering, 2023 - Springer
Data traceability in software development can connect different software artifacts to enhance
the observability of developer practices. In particular, traceability links between issues and …