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Floquet dynamics of ultracold atoms in optical lattices with a parametrically modulated trapping potential
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"I Believe in Nothing If Not in Action": African American Humanism and (Embodied) Agency
Published 2016-05-01Get full text
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3D-mixed-mode-loading: material characteristic values and criteria’s validity
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Trump’s Pre-Inauguration Rhetoric: A Neo-Colonial Blueprint Through Critical Theory
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Associations of carbohydrate quality and cardiovascular risk factors vary among diabetes subtypes
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A Critique of the Chinese Radical Net-Philosophy Community
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Another Scalability is Possible! From Non-Scalability to Cosmolocal Scalability
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Nothing is Inevitable but Class Struggle: A Workerist Perspective on AI Regulation
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How informative is your XAI? Assessing the quality of explanations through information power
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Bearing Fault Diagnosis Method based on RLMD and Kmeans++
Published 2021-02-01“…The simulated bearing data with different signal-to-noise ratios and bearing data from the Paderborn university test bench are used to evaluate the effectiveness of the proposed method. …”
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Insights from the Moguls of Media Capitalism – A Review Essay
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Normalization-Guided and Gradient-Weighted Unsupervised Domain Adaptation Network for Transfer Diagnosis of Rolling Bearing Faults Under Class Imbalance
Published 2025-01-01“…Experiments conducted across three imbalanced scenarios using the Case Western Reserve University (CWRU) and Paderborn University (PU) datasets demonstrate that NG-UDAN is effective in both single-source and mixed-source domain adaptation. …”
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Computational intelligence to detect bearing faults using optimal features from motor current signals
Published 2024-12-01“…The study aims to find the fewest and most reliable features in the dataset from Paderborn University so that a simple and accurate way can be found to diagnose faults using current signals. …”
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Towards a Standard Benchmarking Framework for Domain Adaptation in Intelligent Fault Diagnosis
Published 2025-01-01“…The framework is applied to two popular datasets – the Case Western Reserve University (CWRU) and Paderborn University (PU) bearing fault datasets. We demonstrate the framework’s capabilities and application mechanisms using a CNN classifier and an adversarial DA algorithm. …”
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