Environmental and mechanical performance of different fiber reinforced polymers in beams by Sami Sbahieh (17563119)

“…The reported results from literature were compatible with each other where using FRP composites in beams enhance the stiffness and strength and at the same time reduce the environmental impacts compared to traditional building materials like steel, also developing the design and construction codes for reinforced concrete beams by using FRPs will encourage the use of these materials in constructions.…”

Closed-form Exact and Asymptotic Expressions for the Symbol Error Rate and Channel Capacity of the H-function Fading Channel by Alhennawi, Husam R.

“…The derived exact expressions are given in terms of the univariate and multivariate Fox H functions for which we provide a portable and efficient Python code. Since the Fox's H-function fading channel represents the most generalized fading model ever presented in the literature, the derived expressions subsume most of those previously presented for all the known simple and composite fading models. …”
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Sensitivity analysis and genetic algorithm-based shear capacity model for basalt FRC one-way slabs reinforced with BFRP bars by Abathar Al-Hamrani (16494884)

“…<p dir="ltr">Fiber-reinforced polymer (FRP) composites are increasingly used in concrete structures owing to their superior corrosion resistance. …”

Performance of BFRP RC beams using high strength concrete by Abed, Farid

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Comparison of shear behavior of normal and recycled aggregates beams strengthened with CFRP U-Wraps by Abdalla, Jamal A.

“…The test results indicate that the shear capacity of all specimens strengthened with CFRP composites increased significantly compared to the control beam specimens. …”
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Effect of Flexural NSM-FRP Bars on the Shear Strength of Reinforced Concrete Beams by Saleh, Rayyan Bashar

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Shear behavior of green concrete beams reinforced with basalt FRP bars and stirrups by Abathar Al-Hamrani (16494884)

“…Comparing the experimental results of the current study with the current design codes and guidelines provisions, the CSA-S806-12 has shown the best predictions with a mean experimental to predicted shear (<i>V</i>_<em>exp</em><i>/V</i>_<em>pre</em><i>)</i> ratio of 1.43 ± 0.29.…”

Adaptive PPO With Multi-Armed Bandit Clipping and Meta-Control for Robust Power Grid Operation Under Adversarial Attacks by Mohamed Massaoudi (16888710)

“…This paper proposes a novel composite enhanced proximal policy optimization (CePPO) algorithm to improve power grid operation under adversarial conditions. …”

FAI: Fast, accurate, and intelligent approach and prediction tool for flexural capacity of FRP-RC beams based on super-learner machine learning model by Tadesse G. Wakjira (14779165)

“…<p dir="ltr">Fiber-reinforced polymer (FRP) composites have recently been considered in the field of structural engineering as one of the best alternatives to conventional steel reinforcement due to their high tensile strength, lightweight, cost-effectiveness, and superior corrosion resistance. …”

GFRP-Reinforced Concrete Columns: State-of-the-Art, Behavior, and Research Needs by Elkafrawy, Mohamed

“…This comprehensive review paper delves into the utilization of Glass Fiber-Reinforced Polymer (GFRP) composites within the realm of concrete column reinforcement, spotlighting the surge in structural engineering applications that leverage GFRP instead of traditional steel to circumvent the latter’s corrosion issues. …”
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Effect of Material Constituents on Bond Characteristics of Self Consolidating Concrete by Alhamad, Amjad Ahmad

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MSLP: mRNA subcellular localization predictor based on machine learning techniques by Saleh Musleh (15279190)

“…</p><h3>Availability</h3><p dir="ltr">We have implemented a Docker container and API for end users to run their sequences on our model. Datasets, the code of API and the Docker are shared for the community in GitHub at: https://github.com/smusleh/MSLP.…”

Strengthening of Shear Deficient Reinforced Concrete Beams using Anchored CFRP sheets by Mhanna, Haya H. M.

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Strengthening of Pre-Damaged Columns exposed to Fire using FRCM by Al-Momani, Bashar

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Finite Element Investigation of Pre-Damaged RC Columns Retrofitted with FRCM by Kyaure, Muhammad

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Deep learning for brain electron microscopy segmentation: Advances, challenges, and future directions in connectomics and ultrastructure analysis by Uzair Shah (15740699)

“…Despite progress, reproducibility challenges persist with only 54% of studies providing public code repositories. These advances drive innovation in 3D computer vision, establish new benchmarks for volumetric instance segmentation, and address fundamental challenges in processing massive biological datasets. …”