Artificial Intelligence and Big Data Applications

doi:10.3390/books978-3-7258-0556-3

dc.contributor.editor	Ramdane-Cherif, Amar
dc.contributor.editor	Tomar, Ravi
dc.contributor.editor	Singh, Thipendra
dc.date.accessioned	2024-05-14T14:13:52Z
dc.date.available	2024-05-14T14:13:52Z
dc.date.issued	2024
dc.identifier	ONIX_20240514_9783725805556_313
dc.identifier.uri	https://directory.doabooks.org/handle/20.500.12854/137717
dc.description.abstract	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.
dc.language	English
dc.subject.classification	thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
dc.subject.other	artificial intelligence
dc.subject.other	deep learning
dc.subject.other	attention module
dc.subject.other	feature fusion
dc.subject.other	magnetic resonance imaging
dc.subject.other	traffic flow forecasting
dc.subject.other	graph neural networks
dc.subject.other	Artificial Intelligence
dc.subject.other	high-value data
dc.subject.other	open-government data
dc.subject.other	federated learning
dc.subject.other	model aggregation
dc.subject.other	knowledge distillation
dc.subject.other	uncertainty in deep neural networks
dc.subject.other	association rules
dc.subject.other	defect analysis
dc.subject.other	automobile repair
dc.subject.other	decision support
dc.subject.other	web service
dc.subject.other	information retrieval
dc.subject.other	biomedical terminologies
dc.subject.other	multinomial naive Bayesian classifier
dc.subject.other	Bayesian networks
dc.subject.other	brain extraction
dc.subject.other	brain multi-structure segmentation
dc.subject.other	cloud computing
dc.subject.other	double-stage 3D U-Net
dc.subject.other	neuroradiology
dc.subject.other	7T magnetic resonance
dc.subject.other	volume measure analysis
dc.subject.other	hybrid DCNN mechanism
dc.subject.other	diagnosis
dc.subject.other	chest X-ray images
dc.subject.other	radiography images
dc.subject.other	lung opacity
dc.subject.other	pneumonia
dc.subject.other	COVID-19
dc.subject.other	blockchain
dc.subject.other	tokenized markets
dc.subject.other	tokenized platforms
dc.subject.other	digital assets
dc.subject.other	cybersecurity
dc.subject.other	virtual economy
dc.subject.other	European dataspace
dc.subject.other	extended reality
dc.subject.other	big data
dc.subject.other	human-computer interaction
dc.subject.other	persuasive technologies
dc.subject.other	mobile health monitoring apps
dc.subject.other	persuasive system design model
dc.subject.other	e-commerce sales
dc.subject.other	e-commerce turnover
dc.subject.other	e-commerce web sales
dc.subject.other	digital economy
dc.subject.other	sustainable development
dc.subject.other	COVID-19 analytics
dc.subject.other	analysing COVID-19 discourse
dc.subject.other	social media analytics
dc.subject.other	regression
dc.subject.other	topic analysis
dc.subject.other	Kolmogorov–Gabor polynomials
dc.subject.other	length of stay
dc.subject.other	hospital capacity
dc.subject.other	regularized least squares
dc.subject.other	validation studies
dc.subject.other	data generation
dc.subject.other	anomaly data
dc.subject.other	user behavior generation
dc.subject.other	data analytics
dc.title	Artificial Intelligence and Big Data Applications
dc.type	book
oapen.identifier.doi	10.3390/books978-3-7258-0556-3
oapen.relation.isPublishedBy	46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn	9783725805556
oapen.relation.isbn	9783725805563
oapen.pages	220

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