Transformer-based models for combating rumours on microblogging platforms: a review
The remarkable success of Transformer-based embeddings in natural language tasks has
sparked interest among researchers in applying them to classify rumours on social media …
sparked interest among researchers in applying them to classify rumours on social media …
Principles of artificial intelligence and its application in cardiovascular medicine
H Wieneke, I Voigt - Clinical Cardiology, 2024 - Wiley Online Library
Artificial intelligence (AI) represents a rapidly developing field. Its use can improve diagnosis
and therapy in many areas of medicine. Despite this enormous progress, many physicians …
and therapy in many areas of medicine. Despite this enormous progress, many physicians …
A robust end-to-end deep learning-based approach for effective and reliable BTD using MR images
Detection of a brain tumor in the early stages is critical for clinical practice and survival rate.
Brain tumors arise in multiple shapes, sizes, and features with various treatment options …
Brain tumors arise in multiple shapes, sizes, and features with various treatment options …
Humans are still better than ChatGPT: Case of the IEEEXtreme competition
Since the release of ChatGPT, numerous studies have highlighted the remarkable
performance of ChatGPT, which often rivals or even surpasses human capabilities in various …
performance of ChatGPT, which often rivals or even surpasses human capabilities in various …
TumorDetNet: A unified deep learning model for brain tumor detection and classification
Accurate diagnosis of the brain tumor type at an earlier stage is crucial for the treatment
process and helps to save the lives of a large number of people worldwide. Because they …
process and helps to save the lives of a large number of people worldwide. Because they …
A lightweight deep learning-based model for tomato leaf disease classification
Tomato leaf diseases significantly impact crop production, necessitating early detection for
sustainable farming. Deep Learning (DL) has recently shown excellent results in identifying …
sustainable farming. Deep Learning (DL) has recently shown excellent results in identifying …
Controlling the dissemination of rumors and antirumors in social networks: a mathematical modeling and analysis approach
This paper presents a novel model for understanding the dissemination of rumors and
counter-rumors (antirumors) on social media platforms. It explores the impact of these …
counter-rumors (antirumors) on social media platforms. It explores the impact of these …
CA-CD: context-aware clickbait detection using new Chinese clickbait dataset with transfer learning method
Purpose A clickbait is a deceptive headline designed to boost ad revenue without
presenting closely relevant content. There are numerous negative repercussions of clickbait …
presenting closely relevant content. There are numerous negative repercussions of clickbait …
Cost-Effective Signcryption for Securing IoT: A Novel Signcryption Algorithm Based on Hyperelliptic Curves
Security and efficiency remain a serious concern for Internet of Things (IoT) environments
due to the resource-constrained nature and wireless communication. Traditional schemes …
due to the resource-constrained nature and wireless communication. Traditional schemes …
Recent advances in health biotechnology during pandemic
S Ari Yuka, A Akpek, A Özarslan… - Sigma Journal of …, 2023 - avesis.marmara.edu.tr
The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which
emerged in 2019, cut the epoch that will make profound fluctuates in the history of the world …
emerged in 2019, cut the epoch that will make profound fluctuates in the history of the world …