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All Outputs (63)

EmoNet: Unveiling Affective States Through Convolutional Neural Networks in Textual Emotion Classification (2024)
Presentation / Conference Contribution

In the burgeoning field of natural language processing, emotion classification from textual data has emerged as a critical task with applications ranging from sentiment analysis to mental health assessment. This paper explores the utilization of Conv... Read More about EmoNet: Unveiling Affective States Through Convolutional Neural Networks in Textual Emotion Classification.

Enhancing Cybersecurity: Machine Learning and Natural Language Processing for Arabic Phishing Email Detection (2024)
Thesis

Phishing is a significant threat to the modern world, causing considerable financial losses. Although electronic mail has shown to be a valuable asset around the world in terms of facilitating communication for all parties involved, whether huge corp... Read More about Enhancing Cybersecurity: Machine Learning and Natural Language Processing for Arabic Phishing Email Detection.

Exploring Gamification Research Trends Using Topic Modeling (2023)
Journal Article
Ayaz, A., Ozyurt, O., Al-Rahmi, W. M., Salloum, S., Shutaleva, A., Alblehai, F., & Habes, M. (2023). Exploring Gamification Research Trends Using Topic Modeling. IEEE Access, https://doi.org/10.1109/access.2023.3326444

Gamification holds significant importance as an efficacious means to motivate individuals, stimulate their engagement, and foster desired behaviors. There is an increasing interest among researchers in exploring the domain of gamification. Consequent... Read More about Exploring Gamification Research Trends Using Topic Modeling.

Novel machine learning based approach for analysing the adoption of metaverse in medical training: A UAE case study (2023)
Journal Article
Salloum, S. A., Bettayeb, A., Salloum, A., Aburayya, A., Khadragy, S., Hamoudi, R., & Alfaisal, R. (in press). Novel machine learning based approach for analysing the adoption of metaverse in medical training: A UAE case study. Informatics in Medicine Unlocked, 42, 101354. https://doi.org/10.1016/j.imu.2023.101354

The outbreak of the COVID-19 pandemic led to disruptions in the delivery of medical training across borders, posing challenges in observing and practicing advanced surgical techniques with cutting-edge medical equipment from foreign countries. Howeve... Read More about Novel machine learning based approach for analysing the adoption of metaverse in medical training: A UAE case study.

Gender as a moderating variable in online misinformation acceptance during COVID-19. (2023)
Journal Article
Mansoori, A., Tahat, K., Tahat, D., Habes, M., Salloum, S. A., Mesbah, H., & Elareshi, M. (in press). Gender as a moderating variable in online misinformation acceptance during COVID-19. Heliyon, 9(9), e19425. https://doi.org/10.1016/j.heliyon.2023.e19425

Misinformation remained a critical consideration during the COVID-19 that further cultivated fears leading to strong unrest among the public globally. This study clarifies certain misconceptions related to the pandemic by investigating whether factor... Read More about Gender as a moderating variable in online misinformation acceptance during COVID-19..

Social media paradox: Utilizing social media technology for creating better value for better social outcomes: Case of developing countries (2023)
Journal Article
Sarwar, B., Sarwar, A., Mugahed Al-Rahmi, W., Almogren, A. S., Salloum, S., & Habes, M. (2023). Social media paradox: Utilizing social media technology for creating better value for better social outcomes: Case of developing countries. Cogent Business and Management, 10(2), https://doi.org/10.1080/23311975.2023.2210888

This study presents a research framework based on the underlying richness of social media capacity (usefulness) at the individual level of youngsters regarding their contribution to building social capital and civic engagement, which significantly le... Read More about Social media paradox: Utilizing social media technology for creating better value for better social outcomes: Case of developing countries.

Factors Indicating Media Dependency and Online Misinformation Sharing in Jordan (2023)
Journal Article
Habes, M., Elareshi, M., Mansoori, A., Pasha, S., Salloum, S. A., & Al-Rahmi, W. M. (2023). Factors Indicating Media Dependency and Online Misinformation Sharing in Jordan. Sustainability, 15(2), 1474. https://doi.org/10.3390/su15021474

Although social media is a vital platform in our life, it is blamed for poor efforts to moderate content included mis/disinformation and fake news. This could have an impact on its legacy and on sustainability in society in the long term. This resear... Read More about Factors Indicating Media Dependency and Online Misinformation Sharing in Jordan.

SMEs’ innovativeness and technology adoption as downsizing strategies during COVID-19: the moderating role of financial sustainability in the tourism industry using structural equation modelling (2022)
Journal Article
Shwedeh, F., Aburayya, A., Alfaisal, R., Adelaja, A. A., Ogbolu, G., Aldhuhoori, A., & Salloum, S. (2022). SMEs’ innovativeness and technology adoption as downsizing strategies during COVID-19: the moderating role of financial sustainability in the tourism industry using structural equation modelling. Sustainability, 14(23), 16044. https://doi.org/10.3390/su142316044

This study aims to identify why firms, specifically SMEs in the hospitality and tourism industry, downsized during the recent global economic distress caused by COVID-19. This study applied a quantitative methodology by distributing online questionna... Read More about SMEs’ innovativeness and technology adoption as downsizing strategies during COVID-19: the moderating role of financial sustainability in the tourism industry using structural equation modelling.

The adoption of metaverse systems: a hybrid SEM - ML method (2022)
Presentation / Conference
AlHamad, A., Alomari, K., Alshurideh, M., Al Kurdi, B., Salloum, S., & Al-Hamad, A. (2022, November). The adoption of metaverse systems: a hybrid SEM - ML method. Presented at 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives

Seeing high-tech medical devices from other nations and witnessing surgery to learn has become nearly unattainable. The pandemic of coronavirus disease 2019 (COVID-19) has created cross-border medical education challenging. Nevertheless, to cater to... Read More about The adoption of metaverse systems: a hybrid SEM - ML method.

Examining the Impact of Artificial Intelligence and Social and Computer Anxiety in E-Learning Settings: Students’ Perceptions at the University Level (2022)
Journal Article

The learning environment usually raises various types of anxiety based on the student’s abilities to use technology and their abilities to overcome the negative feelings of an individual being watched all the time and criticized. Hence, learners stil... Read More about Examining the Impact of Artificial Intelligence and Social and Computer Anxiety in E-Learning Settings: Students’ Perceptions at the University Level.

Measuring Institutions’ Adoption of Artificial Intelligence Applications in Online Learning Environments: Integrating the Innovation Diffusion Theory with Technology Adoption Rate (2022)
Journal Article

Artificial intelligence applications (AIA) increase innovative interaction, allowing for a more interactive environment in governmental institutions. Artificial intelligence is user-friendly and embraces an effective number of features among the diff... Read More about Measuring Institutions’ Adoption of Artificial Intelligence Applications in Online Learning Environments: Integrating the Innovation Diffusion Theory with Technology Adoption Rate.