Artificial Intelligence and Big Data Applications

© 2022 by the authors; CC BY-NC-ND license

artificial intelligence; deep learning; attention module; feature fusion; magnetic resonance imaging; traffic flow forecasting; deep learning; graph neural networks; Artificial Intelligence; high-value data; open-government data; federated learning; model aggregation; knowledge distillation; uncertainty in deep neural networks; association rules; defect analysis; automobile repair; decision support; web service; information retrieval; biomedical terminologies; multinomial naive Bayesian classifier; Bayesian networks; brain extraction; brain multi-structure segmentation; cloud computing; deep learning; double-stage 3D U-Net; neuroradiology; 7T magnetic resonance; volume measure analysis; hybrid DCNN mechanism; diagnosis; chest X-ray images; radiography images; lung opacity; pneumonia; COVID-19; blockchain; tokenized markets; tokenized platforms; digital assets; cybersecurity; virtual economy; European dataspace; extended reality; big data; human-computer interaction; persuasive technologies; mobile health monitoring apps; persuasive system design model; e-commerce sales; e-commerce turnover; e-commerce web sales; digital economy; sustainable development; COVID-19 analytics; analysing COVID-19 discourse; social media analytics; regression; topic analysis; COVID-19; Kolmogorov–Gabor polynomials; length of stay; hospital capacity; regularized least squares; validation studies; data generation; anomaly data; user behavior generation; data analytics