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Characterization and Modeling of Damage in Steel at Different Strain Rates
Published 2011Get full text
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Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar
Published 2019“…Several multiple regression models and artificial neural network (ANN)-based prediction models were trained and tested to forecast the hourly power output of the PV system. …”
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Non-Linear Time History Analysis of Moment Frame Structure with Performance-Based Approach on Different Concrete Compressive Strengths
Published 2023“…The non-linear time history analysis and Pushover analysis are performed on the two models of different compressive strengths but of the same element and component sizes by keeping the same reinforcement arrangement. …”
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Gender-based differences in the prevalence and types of adverse childhood experiences and their associations with psychological distress and perceived lack of safety among adolesce...
Published 2025“…Gender-specific multivariable logistic regression models revealed that distress in boys was significantly associated with physical abuse (aOR = 3.35), emotional/psychological abuse (aOR = 1.77), terrifying event (1.75), and being sent away from home as punishment (aOR = 3.06). …”
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Are family and nonfamily tourism businesses different? An examination of the entrepreneurial self-efficacy–entrepreneurial performance relationship
Published 2014“…The study also examined if the causal model was invariant (equivalent) between family and nonfamily entrepreneurs to identify key differences between these two groups. …”
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Estimating hydrogen absorption energy on different metal hydrides using Gaussian process regression approach
Published 2022“…A robust Gaussian process regression (GPR) approach with four kernel functions is proposed to predict the hydrogen absorption energy based on the inputs. All the GPR models' performance was quite excellent; notably, GPR with Exponential kernel function showed the highest preciseness with R<sup>2</sup>, MRE, MSE, RMSE, and STD of 0.969, 2.291%, 3.909, 2.501, and 1.878, respectively. …”
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URANS modeling of three airfoils with different stall mechanisms
Published 2017“…However, transition effect is not accounted for and hence, all test cases are run fully turbulent. Significant differences in the flow predictions of all models are noticed in regions with massively flow separation.…”
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Multilayer Reversible Data Hiding Based on the Difference Expansion Method Using Multilevel Thresholding of Host Images Based on the Slime Mould Algorithm
Published 2022“…One of the well-known designs of RDH is the difference expansion (DE) method. In the DE-based RDH method, finding spaces that create less distortion in the marked image is a significant challenge, and has a high insertion capacity. …”
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A slow but steady nanoLuc: R162A mutation results in a decreased, but stable, nanoLuc activity
Published 2024“…Here, we combined molecular dynamics (MD) simulation and mutational analysis to show that the R162A mutation results in a decreased but stable <u>bioluminescence </u>activity of NLuc in living cells and in vitro. …”
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Life cycle-based sustainability assessment of different partition board materials
Published 2025Get full text
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Detection of statistically significant network changes in complex biological networks
Published 2017“…Several procedures have been recently proposed to detect sub-network differences in pairwise labeled weighted networks.</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. …”
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Identifying and Assessing the Significance of Digital Twin Enablers in the Construction Industry
Published 2025Get full text
doctoralThesis