How does varying the number of personas affect user perceptions and behavior? Challenging the ‘small personas’ hypothesis! by Joni Salminen (7434770)

“…Our study results from eye-tracking and survey data suggest that when using interactive persona systems, the number of personas can be increased from the conventionally suggested ‘less than ten’, without significant negative effects on user perceptions or task performance, and with the positive effects of increasing engagement with the personas, having a more diverse representation of the end-user population, as well as users accessing personas from more varied demographic groups for a design task. …”

B5G: Predictive Container Auto-Scaling for Cellular Evolved Packet Core by Yahuza Bello (19645930)

Bridging Innovation and Security: Advancing Cyber-Threat Detection in Sustainable Smart Infrastructure by Duaa Shoukat (20961200)

Super Neurons by Serkan Kiranyaz (3762058)

“…It is highly desired to improve the receptive field size without increasing the kernel dimensions. This requires a significant upgrade over the generative neurons to achieve the “non-localized kernel operations” for each connection between consecutive layers. …”

Set-based approach for efficient evaluation and analysis of XACML policies. (c2014) by Jebbaoui, Hussein M.

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IoT empowered smart cybersecurity framework for intrusion detection in internet of drones by Syeda Nazia Ashraf (17541222)

Extended Reality “X-Reality” for Prosthesis Training of Upper-Limb Amputees: A Review on Current and Future Clinical Potential by Aya Gaballa (16494149)

Model Based Control of Amine Sweetening Unit by Al Hammadi, Jasim

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QuicTor: Enhancing Tor for Real-Time Communication Using QUIC Transport Protocol by Lamiaa Basyoni (16896426)

Food fraud detection using explainable artificial intelligence by Okan Buyuktepe (17991493)

Smart Farming Revolution: Farmer’s Perception and Adoption of Smart IoT Technologies for Crop Health Monitoring and Yield Prediction in Jizan, Saudi Arabia by Abdoh Jabbari (17541360)

Secure Storage of Crypto Wallet Seed Phrase Using ECC and Splitting Technique by Syeda Tayyaba Bukhari (21842078)

“…It was concluded that it is only possible to hack a seed phrase if a significant portion of it is already known, but even this would require a significant amount of time and computational power.…”

Hybrid deep learning based threat intelligence framework for Industrial IoT systems by Jahanzaib Malik (23718816)

“…A significant challenge currently confronting the Industrial Internet of Things (IIoT) is the increasing prevalence of sophisticated IoT malware threats and attacks. …”

A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education by Abu Zitar, Raed

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Need for Affect, Problematic Social Media Use and the Mediating Role of Fear of Missing Out in European and Arab Samples by Areej Babiker (17032314)

Comparison of Capture Hi-C Analytical Pipelines by Dina Aljogol (12011672)

“…., 3C and its successors 4C, 5C and Hi-C), which is accompanied by the development of computational pipelines to identify biologically meaningful chromatin contacts in such data. …”

Efficient multi-objective neural architecture search framework via policy gradient algorithm by Bo Lyu (16522643)

“…Notably, compared with other multi-objective NAS methods, our NAS framework effectively decreases the computational burden (accounting for just 1/6 of the NSGA-Net). …”

Deep aging clocks: AI-powered strategies for biological age estimation by Luma Srour (22254409)

Pore-scale simulation of fine particles migration in porous media using coupled CFD-DEM by Ahmed Elrahmani (17128837)

“…The time required to develop bridging and subsequent clogging of the pore space that lead to permeability reduction decreases as the flow velocity increases. The size of the fine particles has a significant impact on permeability reduction where the reduction in permeability increases as the size of particles increases. …”

Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation by Fawaz Kserawi (16904859)

“…Our experimental results show a possible decrease in data perturbation error by 51.7% and 61.2% for smart meters and fog-computing data aggregators perturbed data, respectively, compared to the commonly used Gaussian mechanism.…”