The impact of nozzle diameter and printing speed on geopolymer-based 3D-Printed concrete structures: Numerical modeling and experimental validation حسب Shoukat Alim Khan (14778226)

"…The numerical model successfully captures these buildability trends, though with an error ranging from 32 % to 45 % in predicting failure in 3D-printed structures. Nevertheless, the overall performance of the numerical model remains reliable in predicting the influence of printing parameters on buildability.…"

Emerging investigators series: revisiting greenhouse gas mitigation from conventional activated sludge and anaerobic-based wastewater treatment systems حسب Chen, Siming

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Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection حسب Sulaiman Khan (12585349)

"…This research study presents a data fusion-based method for underwater salient object detection and ocean environment monitoring by utilizing a deep model.…"

Computational identification of genetic subnetwork modules associated with maize defense response to Fusarium verticillioides حسب Mansuck Kim (19570903)

"…The other two predicted modules were indirectly involved in the defense response, where the most significant GO terms associated with these modules were GO:0046914 (transition metal ion binding) and GO:0046686 (response to cadmium ion). …"

Navigating the Stock Market: The Role of State-of-the-Art Deep Learning Techniques حسب Anika Kanwal (18905377)

"…Additionally, our experiments demonstrated a 42–91% reduction in RMSE compared to standard CNN and GRU-based approaches, reflecting significantly improved prediction precision.…"

Do near-bedtime usage of smartphones and problematic internet usage really impact sleep? A study based on objectively recorded usage data حسب Aftab Alam (5158601)

Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030) حسب Khaled F. Alkaraki (22051967)

Enhancing Liquefied Natural Gas supply chain robustness through digital twin-driven machine learning models: A special case of cryogenic heat exchanger حسب Mariem Mhiri (17991544)

"…Next, this data is processed through Aspen HYSYS-based and ML-driven DT to assess the system performance and predict potential failures, respectively. …"

Deep Learning in Smart Grid Technology: A Review of Recent Advancements and Future Prospects حسب Mohamed Massaoudi (16888710)

"…Motivated by the outstanding success of DL-based prediction methods, this article attempts to provide a thorough review from a broad perspective on the state-of-the-art advances of DL in SG systems. …"

A Neighborhood Framework for Resource-Lean Content Flagging حسب Sheikh Muhammad Sarwar (19517701)

"…<p dir="ltr">We propose a novel framework for cross- lingual content flagging with limited target- language data, which significantly outperforms prior work in terms of predictive performance. …"

Recurring Multi-layer Moving Window Approach to Forecast Day-ahead and Week-ahead Load Demand Considering Weather Conditions حسب Dao H. Vu (19517236)

Analysis of the Capacitor-Less D-STATCOM for Voltage Profile Improvement in Distribution Network With High PV Penetration حسب Wesam Rohouma (16904871)

A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI حسب Oishi Jyoti (21593819)

"…Three different publicly available datasets have been used based on the age group to create the best predicting model for each case. …"

A Review on the Lifetime Estimation Methods of XLPE Power Cables حسب Mohammad AlShaikh Saleh (22467046)

"…This article next examines artificial intelligence–based life models, a cutting-edge approach that integrates traditional knowledge with advanced computational techniques, such as machine learning and data analytics, for enhanced prediction of cable life expectancy. …"

A novel hybrid methodology for fault diagnosis of wind energy conversion systems حسب Khaled Dhibi (16891524)

"…In the second step, we applied a wrapper technique called equilibrium optimizer to get optimized features and better classification accuracy. The main idea behind using a hybrid feature selection step is to select a small subset from original data that can achieve maximum classification accuracy and reduce the computational complexity of the RF technique. …"

Effect of acute and chronic grapefruit, orange and pineaple juice consumption upon blood lipoprotein synthesis and metabolism in the rat. (c2004) حسب Abou-Khalil, Jamil

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The effects of Salvia Officinalis leave on hyperlipidemia, glycemia, ulcer, inflammation, and bactericidal activity. (c2006) حسب Alayan, Iman

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Implementation of corporate governance rules and procedures in lebanese firms حسب Elgammal, Walid

"…Corporate governance is composed of several elements performing specific functions. The main elements are: audit committee, external auditor, internal audit, and board of directors. …"
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An Analysis of Thermal Comfort at the School Outdoor Spaces: A Case Study of the American School of Creative Science, Dubai, UAE حسب ABU-QULBAIN, LANA

"…Additionally, the addition of vegetation alone had an impact on the microclimate decreasing it by 5%. Thus, combining the strategies of vegetation, shade, green facades/roofs and small water features resulted in 5% to 25% reduction in PET depending on the corresponding location being analyzed. …"
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Impact of the positive pressure valve on vascular access device occlusions and bloodstream infections حسب Btaiche, Imad

"…These types of devices have been shown to significantly decrease VAD occlusion rates by 8.2%, when compared to a standard connector device (Jacobs et al., 2004). …"
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