The impact of socio-economic factors on waste generation in the UAE by Daoud, Omar Walid Omar

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Detection of statistically significant network changes in complex biological networks by Raghvendra Mall (581171)

“…</p><h3>Methods</h3><p dir="ltr">In this paper, we propose an improvement over the state-of-the-art based on the Generalized Hamming Distance adopted for evaluating the topological difference between two networks and estimating its statistical significance. The proposed procedure exploits a more effective model selection criteria to generate <i>p</i>-values for statistical significance and is more efficient in terms of computational time and prediction accuracy than literature methods. …”

Advancing Interpretability in Sequential Models Through Generative AI Rationalization Using GPT-4 by Mohammed Rasol Al Saidat

“…Our study introduces a hybrid model that integrates traditional sequential prediction models with GPT-4, aiming to generate detailed, context-sensitive explanations for model outputs. …”
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RFX3 is essential for the generation of functional human pancreatic islets from stem cells by Bushra Memon (4792767)

Preterm birth in low-middle income Countries by Alim, Swarray-Deen

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Examining the Use of Generative Artificial Intelligence in Higher Education and Its Impact on Social Sustainability: An Integrated Model of UTAUT2 and T-EESST by QUNNEIS, SAI’DAH MAHMOUD

“…The aim of this research entails the proposing and advancing of a model that enhances the adoption of GenAI in an educational setting that is based on Technology-Environmental, Economic, and Social Sustainability Theory (T-EESST) and the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model. …”
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Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting by Aryan Bhambu (18767731)

“…The computational results demonstrate the superiority of the proposed models through a comparative analysis against state-of-the-art approaches across fifteen significant wave height time series, validated by three error metrics and a statistical test.…”

Small-Signal Stability Analysis and Parameters Optimization of Virtual Synchronous Generator for Low-Inertia Power System by Alaa Altawallbeh (22565837)

“…This paper presents a comprehensive small-signal modeling and stability analysis framework for grid-connected virtual synchronous generators (VSGs), integrating: an LCL-filter interfaced power converter, active/reactive power loop (APL/RPL) controllers, and dual-loop PI-based current and voltage control. …”

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

“…<p dir="ltr">Hardware trends have motivated the development of mixed precision algorithms in numerical linear algebra, which aim to decrease runtime while maintaining acceptable accuracy. …”

Exploring the Transformative Potential of Generative AI in Mechanical Engineering Education by Alghazo, Mohannad

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Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids by Khayata, Mohammad Tarek

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Feeder protection challenges with high penetration of inverter based distributed generation by Margossian, Haraj

“…The increasing proportion of inverter based distributed generation (DG) in the power system may limit the short circuit power available at distribution substations and consequently cause significant troubles for the protection of distribution feeders where DG are connected. …”
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Hierarchical multi-head attention LSTM for polyphonic symbolic melody generation by Ahmet Kasif (17787560)

“…This enables our model to generate more complex and expressive melodies than previous methods, while still being musically coherent. …”

Distributed generator status estimation for adaptive feeder protection in active distribution grids by Margossian, Haraj

“…This paper proposes a framework for adaptive feeder protection in distribution grids with a high amount of distributed generators (DGs) installed. The scheme adapts the feeder protection relay settings according to the changes in the connection status of those DGs that have a significant impact on the fault current. …”
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Optimal Planning of Distributed Generators and Shunt Capacitors in Isolated Microgrids With Nonlinear Loads by Yazdavar, Ameen H.

“…The intermittent natures of loads and renewable DGs are modelled probabilistically. The effectiveness of the proposed planning approach has been validated using the PG&E 69-bus system, and the followings are observed: 1) the significance of applying suitable fundamental-power-flow and harmonic-power-flow algorithms for isolated microgrids, and 2) the possibility of avoiding a severe voltage distortion by utilizing an appropriate planning method and only small increase in the cost.…”
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A model predictive control strategy for enhancing fault ride through in PMSG wind turbines using SMES and improved GSC control by Sobhy M. Abdelkader (13038282)

“…These challenges pose a threat to grid stability, impede Wind Turbine Generator performance, and may lead to significant damage to wind turbines. …”

Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through... by Masri, Oussama Samer

“…Results The method of measuring reflectivity is good to excellent reliability for all regions of interest except the fourth. The mean reflectivity of the choriocapillaris and Sattler’s layer in amblyopic eyes were significantly lower than in healthy eyes (p = 0.003 and p = 0.008 respectively). …”
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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women by Vijay, Ganji

“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”
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Serum 25-hydroxyvitamin D concentrations are inversely associated with body adiposity measurements but the association with bone mass is non-linear in postmenopausal women by Vijay Ganji (8710491)

“…In a continuous variable analysis, the association between 25(OH)D and bone mass was significant, non-linear, inverse ‘U’. In conclusion, serum 25-hydroxyvitamin D was inversely associated with adiposity measures and non-linearly associated to bone mass in postmenopausal Qatari women.…”

Impact of Ionic Strength and Charge Density on Donnan Potential in the NaCl-Cation Exchange Membrane System by Al-Sakaji, Baraa A. K.

“…At higher compositions, the DH model significantly overestimates the predicted (absolute) Donnan potential compared to the Meissner model. …”
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