Active distribution network type identification method of high proportion new energy power system based on source-load matching by Qinlin, Shi

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

“…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. …”

Hedonic valuation of land protection methods: implications for cluster development. by Kling, Robert

“…The key findings of the study are: (i) proximity to national or state park land and to city or county open space has a significant positive impact on property values, while proximity to national forest land or to privately conserved land exhibits no significant effects; and, (ii) inclusion of a property within a cluster development decreases its value by 17 to 26 %. …”
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Model Based Control of Amine Sweetening Unit by Al Hammadi, Jasim

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Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems by Shehabeldin, Menatalla Diaaeldin

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Effect of corporate ethics and social responsibility on OCB: the role of employee identification and perceived CSR significance by El-Kassar, Abdul-Nassar

“…Based on the data analysis results, the model is validated and the stated hypotheses are supported. …”
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The Impact Of Teachers’ Differentiated Initiations And Feedback On Students’ Responses: A Model Based On Audience Design And Bloom’s Taxonomy Of Cognitive Domains by ZAGHAB, MAI IDREES

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Assessing test suites of extended finite state machines against model and code based faults by El-Fakih, Khaled

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A Unified Model-Based Framework for the Simplified Execution of Static and Dynamic Assertion-Based Verification by Muhammad Waseem Anwar (9316557)

“…In order to simplify its execution, various Model Based System Engineering approaches provide a higher abstraction layer. …”

A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity by Wesam S. Ahmed (10170053)

“…Further, analysis of trajectories for <u>hydrogen bonds</u> (H-bonds) formed between NLuc and furimazine revealed substantial H-bond interaction between R162 and Q32 residues. …”

Dynamic mechanical characterization and modelling of polypropylene based organoclay nanocomposite by Kui Wang (137551)

“…A three-phase approach based on the micromechanical formulation of the cooperative model is proposed to model the yield behaviour of the polymer nanocomposite. …”

Forecasting model to predict project success based on the contractors’ characteristics by AlSuwaidi, Khalid Waleed Rashid Deemas

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Toward a contagion-based model of mobile banking adoption by Walid Chaouali (12059982)

SEM-machine learning-based model for perusing the adoption of metaverse in higher education in UAE by Aburayyaa , Ahmad

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Scaffold‑based 3D cell culture models in cancer research by Abuwatfa, Waad Hussein

“…Three-dimensional (3D) cell cultures have emerged as valuable tools in cancer research, offering significant advantages over traditional two-dimensional (2D) cell culture systems. …”
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Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection by Shakeel Ahmad (702854)

“…These attacks can be detected using both traditional and modern AI-based models. However, even with state-of-the-art methods, accurately classifying newly emerged links as phishing or legitimate remains a challenge. …”

Low-Complexity Machine Learning-based Behavioral Modeling of Power Amplifiers by Aziz, Mohammad Rabih

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Model Based Adaptive Tracking Scheme For Unknown MIMO Bilinear Systems by Azhar, ASS

“…A new technique for the control of unknown MIMO bilinear systems is introduced. The scheme is based on the U-model with identification based on Radial Basis Functions neural networks which is known for mapping any nonlinear function. …”
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Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting by Aryan Bhambu (18767731)

“…This paper introduces a novel random vector functional link transformer (RFT) and ensemble deep random vector functional link transformer (edRFT) networks to capture the dynamic characteristics of significant wave heights. The model employs hidden blocks based on transformer encoders to effectively capture complex sequential dependencies in the data. …”

Dynamic model scaling based on segmented tumor size for breast cancer detection by Younes Akbari (16303286)

“…Based on the size of the segmented tumor region, an appropriate EfficientNet model, ranging from B0 to B7, is dynamically selected for classification. …”