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Conditional Tabular Generative Adversarial Net for Enhancing Ensemble Classifiers in Sepsis Diagnosis
Published 2023-01-01“…This research employs medical datasets for patients diagnosed with sepsis, and it analyses the efficacy of ensemble machine learning techniques compared to nonensemble machine learning techniques and the significance of data balancing and conditional tabular generative adversarial nets for data augmentation in producing reliable diagnosis. …”
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6722
Voltage-controlled magnetoelectric devices for neuromorphic diffusion process
Published 2025-05-01Get full text
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6723
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6724
Predicting the Acceptance of Informal Learning Technologies: A Case of the TikTok Application
Published 2025-03-01“…Moreover, previous literature focused on the use of structural equation modeling (SEM) to predict technology acceptance, whereas the application of data mining algorithms is rare in this direction of research. This study, therefore, aims to (1) propose an integrated framework based on the DeLone and McLean information system model, the diffusion theory, the interactivity theory, the intrinsic motivation theory, and the security perceptions, (2) predict the adoption of TikTok as a learning means in an informal educational space, and (3) compare the performance of data mining techniques and SEM in predicting users’ behavioral intention towards TikTok acceptance. …”
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6728
Technical validation of real-world monitoring of gait: a multicentric observational study
Published 2021-12-01“…Data and algorithms will be made publicly available.Trial registration number ISRCTN (12246987).…”
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6729
Fokker Planck equation solver for study stochastic cooling in storages rings
Published 2011-12-01Get full text
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6730
Effectiveness evaluation of the complex medical and psychological method of treating patients with insomnia
Published 2023-12-01Get full text
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6731
Mechanism and relevance of necroptosis to immune microenvironment of periodontitis: A pilot study
Published 2023-10-01Get full text
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6732
Use of a convolutional neural network for direct detection of acid-fast bacilli from clinical specimens
Published 2025-08-01“…By building on our work, researchers can develop better algorithms to improve the diagnosis of AFB, reducing the burden on laboratory staff and improving diagnostic speed and accuracy of these medically important organisms.…”
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6733
Comparison of Surface Current Measurement Between Compact and Square-Array Ocean Radar
Published 2025-04-01“…In Taiwan, the Taiwan Ocean Research Institute (TORI) has established a data quality management mechanism based on international standards for data filtering, noise reduction, and outlier detection, improving the accuracy and stability of radar-derived velocity measurements.To eliminate the effects caused by different center frequencies between MABT and KNTN, this study used the same algorithms and parameter settings as much as possible in all steps, from Doppler spectra processing to radial velocity calculation, ensuring the comparability of the data. …”
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6734
DAF-Net: Dual-Aperture Feature Fusion Network for Aircraft Detection on Complex-Valued SAR Image
Published 2025-01-01Get full text
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6735
An Analysis of Novel Money Laundering Data Using Heterogeneous Graph Isomorphism Networks. FinCEN Files Case Study
Published 2024-07-01“…Implications and recommendations: The findings demonstrate the potential of heterogeneous graph neural networks and their highly expressive architectures, such as GIN, in AML. Further research is needed, in particular to combine the proposed model with other existing algorithms and test the solution on various money-laundering datasets. …”
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An overview of artificial intelligence based automated diagnosis in paediatric dentistry
Published 2024-12-01“…The field of AI, deep machine learning and CNN's is an upcoming and newer area, with new developments this will open up areas for more sophisticated algorithms in multiple layers to predict accurately, when compared to experienced Paediatric dentists.…”
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6738
A Comprehensive Benchmarking Framework for Sentinel-2 Sharpening: Methods, Dataset, and Evaluation Metrics
Published 2025-06-01“…This work introduces a comprehensive benchmarking framework for Sentinel-2 sharpening, designed to address these challenges and foster future research. It analyzes several state-of-the-art sharpening algorithms, selecting representative methods ranging from traditional pansharpening to <i>ad hoc</i> model-based optimization and deep learning approaches. …”
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