[HTML][HTML] A survey of uncover misleading and cyberbullying on social media for public health

O Darwish, Y Tashtoush, A Bashayreh, A Alomar… - Cluster computing, 2023 - Springer
Misleading health information is a critical phenomenon in our modern life due to advance in
technology. In fact, social media facilitated the dissemination of information, and as a result …

Application of machine learning techniques to detect the children with autism spectrum disorder

M Liao, H Duan, G Wang - Journal of Healthcare Engineering, 2022 - Wiley Online Library
Early detection of autism spectrum disorder (ASD) is highly beneficial to the health
sustainability of children. Existing detection methods depend on the assessment of experts …

[HTML][HTML] Hybrid deep learning algorithm for forecasting SARS-CoV-2 daily infections and death cases

F Alqahtani, M Abotaleb, A Kadi, T Makarovskikh… - Axioms, 2022 - mdpi.com
The prediction of new cases of infection is crucial for authorities to get ready for early
handling of the virus spread. Methodology Analysis and forecasting of epidemic patterns in …

[HTML][HTML] Predictive analytics in mental health leveraging llm embeddings and machine learning models for social media analysis

A Radwan, M Amarneh, H Alawneh… - International Journal of …, 2024 - igi-global.com
The prevalence of stress-related disorders has increased significantly in recent years,
necessitating scalable methods to identify affected individuals. This paper proposes a novel …

[HTML][HTML] A novel convolutional adversarial framework for multivariate time series anomaly detection and explanation in cloud environment

P Wen, Z Yang, L Wu, S Qi, J Chen, P Chen - Applied Sciences, 2022 - mdpi.com
Anomaly detection is critical to ensure cloud infrastructures' quality of service. However, due
to the complexity of inconspicuous (indistinct) anomalies, high dynamicity, and the lack of …

Emo-SL Framework: Emoji Sentiment Lexicon Using Text-Based Features and Machine Learning for Sentiment Analysis

M Alfreihat, O Almousa, Y Tashtoush, A AlSobeh… - IEEE …, 2024 - ieeexplore.ieee.org
Recently, given the rise of types of social media networks, the analysis of sentiment and
opinions in textual data has gained significant importance. However, sentiment analysis in …

[HTML][HTML] Intelligent Health Care and Diseases Management System: Multi-Day-Ahead Predictions of COVID-19

A Abugabah, F Shahid - Mathematics, 2023 - mdpi.com
The rapidly growing number of COVID-19 infected and death cases has had a catastrophic
worldwide impact. As a case study, the total number of death cases in Algeria is over two …

Detecting Arabic YouTube spam using data mining techniques

Y Tashtoush, A Magableh, O Darwish… - … on Digital Forensics …, 2022 - ieeexplore.ieee.org
Since YouTube became one of the sources of income, the number of users has increased
significantly and the number of spammers who aim to spread viruses or to promote their …

Project management effort estimation using agile manager game platform

YM Tashtoush, W Doulat, S Banat… - … on Information and …, 2022 - ieeexplore.ieee.org
Effort estimation research studied the effort spent in direct software project development.
While the effort involved in indirect software project development increased, management is …

Analysis of Jordanian University Students Problems Using Data Mining System

MB Issa, O Darwish, DH Allah… - … on Information and …, 2022 - ieeexplore.ieee.org
Many social media users, especially university students, suffer from some problems that
occur in their daily lives, such as anger, stress, depression, sleep problems, physical and …