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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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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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Neural network based predistortion of radio frequency power amplifiers
Published 2021Get full text
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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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The Detection of Dysarthria Severity Levels Using AI Models: A Review
Published 2024“…The implications of these findings could be significant in advancing patient care and improving therapeutic outcomes for individuals affected by dysarthria.…”
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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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Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems
Published 2015Get full text
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A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences
Published 2025“…<p dir="ltr">The inherently unpredictable nature of solar power generation, primarily due to rapidly changing cloud cover, poses a significant challenge to the operation of solar-integrated energy systems. …”
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AI-based remaining useful life prediction and modelling of seawater desalination membranes
Published 2024Get full text
doctoralThesis
