Artificial Intelligence and Big Data Applications
Materialtyp:
ArtikelUtgivningsinformation: MDPI - Multidisciplinary Digital Publishing Institute 2024Beskrivning: 1 electronic resource (220 p.)Innehållstyp: - text
- computer
- online resource
- 9783725805556
- 9783725805563
- Technology, Engineering, Agriculture, Industrial processes
- Technology: general issues
- 7T magnetic resonance
- Artificial Intelligence
- Bayesian networks
- COVID-19
- COVID-19 analytics
- European dataspace
- Kolmogorov–Gabor polynomials
- analysing COVID-19 discourse
- anomaly data
- artificial intelligence
- association rules
- attention module
- automobile repair
- big data
- biomedical terminologies
- blockchain
- brain extraction
- brain multi-structure segmentation
- chest X-ray images
- cloud computing
- cybersecurity
- data analytics
- data generation
- decision support
- deep learning
- defect analysis
- diagnosis
- digital assets
- digital economy
- double-stage 3D U-Net
- e-commerce sales
- e-commerce turnover
- e-commerce web sales
- extended reality
- feature fusion
- federated learning
- graph neural networks
- high-value data
- hospital capacity
- human-computer interaction
- hybrid DCNN mechanism
- information retrieval
- knowledge distillation
- length of stay
- lung opacity
- magnetic resonance imaging
- mobile health monitoring apps
- model aggregation
- multinomial naive Bayesian classifier
- neuroradiology
- open-government data
- persuasive system design model
- persuasiv
Open Access Unrestricted online access star
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.
Creative Commons Licence cc by-nc-nd cc https://creativecommons.org/licenses/by-nc-nd/4.0/
eng
Freely available e-book