Convolutional Neural Network Based Deep Neural Network Model for Electrocardiogram Records Classification

AM Khudhur, MH Alwan, Q Al Omairi… - Proceedings of the 7th …, 2023 - dl.acm.org
Сardiovascular diseases, also known as CVDs, currently rank as the primary incidence of
mortality. The present approach for identifying illnesses involves the analysis of the …

Various Modulation Types Classification on the Air by Convolutional Neural Network

YI Hammadi, MAK Alsaeedi, OA Mahmood… - Proceedings of the 7th …, 2023 - dl.acm.org
Deep learning (DL), a relatively recent AI technique, has been successfully applied to the
problem of automated modulation categorization (AMC), with promising results. An essential …

Network algorithm for controlling robotic manipulator system: Prototype Implementation

L Gorbacheva, M Zakharov… - Proceedings of the 7th …, 2023 - dl.acm.org
The article discusses the problems of remote control of robotic manipulators via a
communication network. The structure of the developed model network for intercepting and …

CREDEEP: Deep Learning-based approaches to detect credibility in Twitter conversations

I Fadhli, L Hlaoua, MN Omri - Procedia Computer Science, 2023 - Elsevier
In recent years, social networks have become the most exploited sources of information,
such as Facebook, Instagram, LinkedIn, and Twitter, have been considered to be the main …

Extreme Learning Machine for Spammer Detection and Fake User Identification from Twitter

SY Modadugu, SSN Rao… - 2024 IEEE 13th …, 2024 - ieeexplore.ieee.org
The proliferation of online social networking sites (OSNs) platforms like Twitter has led to an
increase in spam and the presence of fake user accounts, posing significant challenges to …

A multi-blockchain system application based on improved PBFT consensus mechanism for online rumor co-governance

Y Chen, F Liu - 2022 - researchsquare.com
At present, there are difficulties in the governance of Internet rumors, such as slow control
and information barriers. In the face of the confused and complex social public opinion …

The Proposed Deep Learning Combined with Knowledge Graphs for Fake News Detections on Social Networks

QH Nguyen, LT Trung, TTK Phan, TXD Nguyen… - International Conference …, 2023 - Springer
Social media and social networks are large network which plays significant roles in our
society. Recently, many studies have investigated how to differentiate between a trustworthy …

[PDF][PDF] Evaluating Deep Learning Frameworks for False Information Identification: XLNet, RoBERTa-wwm, and ALBERT Compared

YY Lin - 2024 - osf.io
This study evaluates the efficiency of deep learning models XLNet, RoBERTa-wwm, and
ALBERT in detecting misinformation within Taiwanese media using the" Cofacts" dataset. By …

Improving fake news detection on social networks through a novel machine learning approach

A Jain, A Kumar, M Joshi, H Disawala - Multidisciplinary Science …, 2024 - malque.pub
Recent years have seen an increase in societal information, such as commercial
advertisements, celebrity information, political news, etc., due to the growth of online social …

[PDF][PDF] Machine Learning for Arabic Fake News Detection with Word Embedding During Covid-19 Pandemic

AN Hasoon, RN Ismail… - International Journal of …, 2022 - researchgate.net
Virus corona causes a big storm of media, especially when it appeared in 2020. As a result
of that, a large number of fake news are spread in a social media such as tweeter. Therefore …