Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms by Marwan Dhuheir (19170898)

Effects of information and communication technology on total-factor carbon emission efficiency and the health co-benefits by Jingying Linghu (22337614)

Just-in-time defect prediction for mobile applications: using shallow or deep learning? by Raymon van Dinter (10521952)

KT2C. (c2014) by Al Kawam, Ahmad

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Internet of everything meets the metaverse: Bridging physical and virtual worlds with blockchain by Wajid Rafique (19757058)

“…</p><h2>Other Information</h2> <p> Published in: Computer Science Review<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.cosrev.2024.100678" target="_blank">https://dx.doi.org/10.1016/j.cosrev.2024.100678</a></p>…”

Effect of Implementing Sustainable Management Practices on Construction Claims Mitigation by Thabet, Zeina

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LightEnsemble-Guard: An Optimized Ensemble Learning Framework for Securing Resource-Constrained IoT Systems by Muhammad Usama Tanveer (22225360)

“…The results highlight LightEnsemble-Guard as an effective, scalable and lightweight solution for real-time IoT security, significantly outperforming traditional models in both accuracy and computational efficiency.…”

Pathways to learning: exploring the impact of augmented reality on vocabulary development in children with autism spectrum disorder by Mariam Bahameish (19255789)

Dimensional and positional temporomandibular joint osseous characteristics in normodivergent facial patterns with and without temporomandibular disorders by Maged S. Alhammadi (14150757)

“…Three-dimensional positional and dimensional temporomandibular joint characteristics, including glenoid fossa, mandibular condyles, and joint spaces, were assessed by cone beam computed tomography.</p><h3>Results</h3><p dir="ltr">The glenoid fossa positions in the three orthogonal planes and height showed statistical significance between the two studied groups. …”

Tamp-X: Attacking explainable natural language classifiers through tampered activations by Hassan Ali (3348749)

“…</p><h2>Other Information</h2> <p> Published in: Computers & Security<br> License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.cose.2022.102791" target="_blank">https://dx.doi.org/10.1016/j.cose.2022.102791</a></p>…”

Cyberbullying Detection and Abuser Profile Identification on Social Media for Roman Urdu by Ayesha Atif (22155133)

An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques by Fariha Haque (21485518)

Modeling of photovoltaic soiling loss as a function of environmental variables by Wasim Javed (6105866)

Generative AI: a double-edged sword in the cyber threat landscape by Werisha Ibrar (21635153)

The use of multi-task learning in cybersecurity applications: a systematic literature review by Shimaa Ibrahim (22155739)

“…<p dir="ltr">Cybersecurity is crucial in today’s interconnected world, as digital technologies are increasingly used in various sectors. The risk of cyberattacks targeting financial, military, and political systems has increased due to the wide use of technology. …”

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

Towards secure and trusted AI in healthcare: A systematic review of emerging innovations and ethical challenges by Muhammad Mohsin Khan (22303366)

Role of shared identity and agency trust in online voting among Finnish citizens by Ali Farooq (18692561)

Cybersecurity Transparency and Firm Success: Insights From the Australian Landscape by Hamzeh Al Amosh (15944827)

Intelligent scaling for 6G IoE services for resource provisioning by Abdullah Alharbi (4173502)

“…For 6G, more innovative technological resources are required to be handled by Mobile Edge Computing (MEC). Although the demand for change in service from different sectors, the increase in IoE, the limitation of available computing resources of MEC, and intelligent resource solutions are getting much more significant. …”