Transformer-based models for combating rumours on microblogging platforms: a review

R Anggrainingsih, GM Hassan, A Datta - Artificial Intelligence Review, 2024 - Springer
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 …

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 …

A robust end-to-end deep learning-based approach for effective and reliable BTD using MR images

N Ullah, MS Khan, JA Khan, A Choi, MS Anwar - Sensors, 2022 - mdpi.com
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 …

Humans are still better than ChatGPT: Case of the IEEEXtreme competition

A Koubaa, B Qureshi, A Ammar, Z Khan, W Boulila… - Heliyon, 2023 - cell.com
Since the release of ChatGPT, numerous studies have highlighted the remarkable
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

N Ullah, A Javed, A Alhazmi, SM Hasnain, A Tahir… - Plos one, 2023 - journals.plos.org
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 …

A lightweight deep learning-based model for tomato leaf disease classification

N Ullah, JA Khan, S Almakdi… - Computers …, 2023 - researchprofiles.herts.ac.uk
Tomato leaf diseases significantly impact crop production, necessitating early detection for
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

A El Bhih, Z Yaagoub, M Rachik, K Allali… - The European Physical …, 2024 - Springer
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 …

CA-CD: context-aware clickbait detection using new Chinese clickbait dataset with transfer learning method

HC Wang, M Maslim, HY Liu - Data Technologies and Applications, 2024 - emerald.com
Purpose A clickbait is a deceptive headline designed to boost ad revenue without
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

J Khan, C Zhu, W Ali, M Asim, S Ahmad - Information, 2024 - mdpi.com
Security and efficiency remain a serious concern for Internet of Things (IoT) environments
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 …