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.…”

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. …”

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

“…<p dir="ltr">The stable operation of converter-interfaced generation (CIG) units is paramount for ensuring resilience in low-inertia power systems. …”

An Optimal Energy Dispatch Management System for Hybrid Power Plants: PV-Grid-Battery-Diesel Generator-Pumped Hydro Storage by Fatma Ahmed (11084787)

“…This paper presents a comprehensive energy management framework holding real-time optimisation for HPP. The practical implications of this research are significant, as it provides a roadmap for seamlessly integrating RESs with Battery Energy Storage Systems (BESSs) in Hybrid Power Plants (HPPs) to minimise cost while meeting daily household energy demands. …”

Distribution network line protection in the presence of distributed generation by Margossian, Harag

“…Unlike synchronous and asynchronous generators, inverter based DGs have a controlled current output during faults. …”
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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. …”

Inland Treatment of the Brine Generated from Reverse Osmosis Advanced Membrane Wastewater Treatment Plant Using Epuvalisation System by Qurie, Mohannad

“…The reverse osmosis (RO) brine generated from the Al-Quds University wastewater treatment plant was treated using an epuvalisation system. …”
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Evolutionary algorithms for state justification in sequential automatic test pattern generation by El-Maleh, Aiman H.

“…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. …”
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Accommodating High Penetrations of Renewable Distributed Generation Mix in Smart Grids by Khayata, Mohammad Tarek

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Exploring the potential of onboard energy scavenging subsystems for generating valuable data by Raziq Yaqub (16488878)

“…Furthermore, it enables real-time surveillance of vehicular suspension system health and offers a nuanced exploration of driver behavior patterns. …”

Hierarchical multi-head attention LSTM for polyphonic symbolic melody generation by Ahmet Kasif (17787560)

“…Qualitative analysis conducted on the generated melodies shows significantly improved loss scores on MSE over baseline methods, and is able to generate melodies that were both musically coherent and expressive. …”

An Iterative Heuristic for State Justi�cation in Sequential Automatic Test Pattern Generation by El-Maleh, Aiman H.

“…State justifcation is one of the most time-consuming tasks in sequential Automatic Test Pattern Generation (ATPG). …”
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An Evolutionary Meta-Heuristic for State Justification in Sequential Automatic Test Pattern Generation by El-Maleh, Aiman H.

“…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. …”
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An evolutionary meta-heuristic for state justification insequential automatic test pattern generation by El-Maleh, A.H.

“…Sequential circuit test generation using deterministic, fault-oriented algorithms is highly complex and time consuming. …”
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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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Advancing Interpretability in Sequential Models Through Generative AI Rationalization Using GPT-4 by Mohammed Rasol Al Saidat

“…Preliminary results demonstrate that our approach not only enhances the accuracy of sequential predictions but also significantly improves their interpretability. This finding highlights the potential of generative AI to bridge the gap between complex AI decision-making processes. …”
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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.…”

Modelling the Impact of Bottlenecks on Arterial Travel Time Using Neural Networks by Abdallah, Azza

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Keyed Watermarks: A Fine-grained Tracking of Event-time in Apache Flink by Yasser, Tawfik

“…A significant part of this process is played by watermarks, which are unique timestamps that show the passage of events in time. …”
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