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Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030)
Published 2024“…This study aimed to model past, present, and future LULCC on Land Surface Temperatures in the Greater Amman Municipality (GAM) in Jordan between 1980 and 2030. …”
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Detection of statistically significant network changes in complex biological networks
Published 2017“…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. …”
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Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems
Published 2015Get full text
doctoralThesis -
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Effect of corporate ethics and social responsibility on OCB: the role of employee identification and perceived CSR significance
Published 2021“…Based on the data analysis results, the model is validated and the stated hypotheses are supported. …”
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A Unified Model-Based Framework for the Simplified Execution of Static and Dynamic Assertion-Based Verification
Published 2020“…In order to simplify its execution, various Model Based System Engineering approaches provide a higher abstraction layer. …”
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Dynamic mechanical characterization and modelling of polypropylene based organoclay nanocomposite
Published 2015“…A three-phase approach based on the micromechanical formulation of the cooperative model is proposed to model the yield behaviour of the polymer nanocomposite. …”
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Forecasting model to predict project success based on the contractors’ characteristics
Published 2018Get full text
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Scaffold‑based 3D cell culture models in cancer research
Published 2024“…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
Published 2024“…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. …”
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Low-Complexity Machine Learning-based Behavioral Modeling of Power Amplifiers
Published 2025Get full text
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Model Based Adaptive Tracking Scheme For Unknown MIMO Bilinear Systems
Published 2020“…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
Published 2025“…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. …”
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