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COVID-19 Deep Learning Prediction Model Using Publicly Available Radiologist-Adjudicated Chest X-Ray Images as Training Data: Preliminary Findings
Published 2020-01-01“…With a limited number of publicly available COVID-19 chest X-ray images, the generalization and robustness of deep learning models to detect COVID-19 cases developed based on these images are questionable. …”
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Hypothesis on the role of cholesterol crystals in spontaneously ruptured aortic plaques: Potential triggers for inflammation and systemic effects
Published 2025-03-01“…Spontaneously ruptured aortic plaques (SRAPs) are frequently observed via non-obstructive general angioscopy (NOGA) in patients with or suspected coronary artery disease. …”
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Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud
Published 2024-01-01“…Second, based on a classic point cloud classification model (PointNet), we propose a novel regression PointNet model applied to channel parameter prediction. …”
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The declaration of adoptability situation at a crossroads
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Amorphization and siliconization of silicon carbide as a first wall material
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Measuring and analysing standardisation in the Hungarian hotel sector
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Foraging Behaviour of the Black-Headed Heron at Kibimba Rice Scheme, Eastern Uganda
Published 2021Get full text
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Identification of critical success factors that maximise customers’ satisfaction: multivariate analysis
Published 2015-01-01Get full text
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QR-DeepONet: resolve abnormal convergence issue in deep operator network
Published 2024-01-01“…Theoretical analysis indicates that the generation error of DeepONet should decrease as the basis dimension increases, thus providing a systematic way to reduce its generalization errors (GEs) by varying the network hyperparameters. …”
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Non-intrusive load monitoring based on time-enhanced multidimensional feature visualization
Published 2025-02-01“…Furthermore, utilizing transfer learning, the model trained and tested on the PLAID dataset was further tested on the WHITED dataset to increase the model’s universality and generalization ability, showing significant effects in identifying loads with similar V–I trajectories and multiple states.…”
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Deep learning in defects detection of PV modules: A review
Published 2025-01-01“…Despite achieving high accuracy, challenges such as the need for large datasets and model generalization across different PV modules and environmental conditions remain. …”
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