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Artificial Intelligence and Big Data Applications

Edited by
March 2024
220 pages
  • ISBN978-3-7258-0555-6 (Hardback)
  • ISBN978-3-7258-0556-3 (PDF)
https://doi.org/10.3390/books978-3-7258-0556-3
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This book is a reprint of the Special Issue Artificial Intelligence and Big Data Applications that was published in

Computer Science & Mathematics
Summary

Artificial intelligence and big data applications are present in almost every corner of life. This reprint of the Special Issue entitled “Artificial Intelligence and Big Data Applications” contains a wide range of works with comprehensive information on image processing, natural language processing, computer vision, sentiment analysis, voice and gesture analysis, and other topics in the field. The latest works in multidisciplinary applications such as legal, healthcare, smart society, cyber–physical systems, and smart agriculture, among others, are also included. This compilation will spark the interest of researchers in the aforementioned fields and will serve as a knowledge base for further research in the future.

Format
  • Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
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