Numerical Investigation of the Fetal Left Heart Hemodynamics During Gestational Stages by Huseyin Enes Salman (18131794)

“…<p dir="ltr">Flow-driven hemodynamic forces on the cardiac tissues have critical importance, and have a significant role in the proper development of the heart. …”

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

Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burd... by Katherine R Paulson (8674293)

“…</p><p><br></p><h3>Findings</h3><p dir="ltr">Global U5MR decreased from 71·2 deaths per 1000 livebirths (95% uncertainty interval [UI] 68·3–74·0) in 2000 to 37·1 (33·2–41·7) in 2019 while global NMR correspondingly declined more slowly from 28·0 deaths per 1000 live births (26·8–29·5) in 2000 to 17·9 (16·3–19·8) in 2019. …”

Exploiting the Spatio-Temporal Patterns in IoT Data to Establish a Dynamic Ensemble of Distributed Learners by Mehdi Mohammadi (5024105)

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

Prediction of evaporation losses in wet cooling towers by QURESHI, BILAL AHMED

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Successive interference cancellation using stage dependent decision functions by Bentrcia, A.

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3-D Full-Vectorial Analysis of Strong Optical Waveguide Discontinuities Using Pade Approximants by Jamid, H.A.

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A multi-targeted approach to identify potential flavonoids against three targets in the SARS-CoV-2 life cycle by Sanjay Kumar (8853)

“…By examining the effects of glycosylation and other structural-activity relationships, the presence of sugar moiety in flavonoids significantly reduces its binding energy. It increases the solubility of flavonoids leading to reduced toxicity and higher bioavailability. …”

Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities by Md Golam Morshed (19420537)

“…A significant increase in feature learning-based representations for action recognition has emerged in recent years, due to the widespread use of deep learning-based features. …”

Differing endometrial expression of calcium modulating transient receptor potential channels by Maryam Ghavideldarestani (11862563)

Strain response of hot-mix asphalt overlays for bottom-up reflective cracking by Ghauch, Ziad G.

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Multicast at Edge: An Edge Network Architecture for Service-Less Crowdsourced Live Video Multicast by Kamran Zahoor (16896354)

Addressing Challenges of Distance Learning in the Pandemic with Edge Intelligence Enabled Multicast and Caching Solution by Kashif Bilal (16896357)

TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by Zina Chkirbene (16869987)

“…Processing similar features that provide redundant information increases the computational time, which is a critical problem especially for users with constrained resources (battery, energy). …”

Mixed precision iterative refinement with adaptive precision sparse approximate inverse preconditioning by Noaman Khan (19810050)

“…Our numerical experiments show that this approach can potentially lead to a reduction in the cost of storing and applying sparse approximate inverse preconditioners, although a significant reduction in cost may comes at the expense of increasing the number of GMRES iterations required for convergence.…”

Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT by Arumugam K (18456690)

SRP: An Efficient Runtime Protection Framework for Blockchain-based Smart Contracts by Isra M. Ali (17869355)

“…Our empirical and experimental results indicate the feasibility and efficiency of our approach, where SRP outperforms the onchain-only mechanism in terms of service time and throughput, for increasing workloads.</p><h2>Other Information</h2> <p> Published in: Journal of Network and Computer Applications<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.jnca.2023.103658" target="_blank">https://dx.doi.org/10.1016/j.jnca.2023.103658</a></p>…”

Towards secure private and trustworthy human-centric embedded machine learning: An emotion-aware facial recognition case study by Muhammad Atif Butt (10849980)

“…However, despite the significant impact of AI design on human interests, the security and trustworthiness of edge AI applications are not foolproof and ethicalneither foolproof nor ethical; Moreover, social norms are often ignored duringin the design, implementation, and deployment of edge AI systems. …”

Accessibility first: detecting frustration in web browsing for visually impaired and sighted smartphone users by Yasmin Abdelaal (17773458)