Applied Computing and Artificial Intelligence

Applied computing and artificial intelligence methods have attracted a growing interest in recent years due to their effectiveness at solving technical problems. Recent developments in applied mathematics have largely led to benefits for industrial tasks in different fields, including the aerospace...

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Bibliografiset tiedot
Muut tekijät:	Li, Xiang (Toimittaja), Zhang, Shuo (Toimittaja), Zhang, Wei (Toimittaja)
Aineistotyyppi:	Elektroninen Kirjan osa
Kieli:	englanti
Julkaistu:	Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Aiheet:	Research & information: general Mathematics & science scheduling delivery times learning effect common due date slack due date different due date similitude scaling relationships dual-rotor system bolted joint dynamic characteristics parameter identification optimization hybrid algorithm JAYA differential evolution convolution operation intelligent graphic design brightness feature traditional engraving graphics fault diagnosis domain adaptation noisy label deep learning convolutional neural network rotating machine cuckoo search adaptive method spatial compression photovoltaic model integrated control and estimation adaptive neuro fuzzy noise uncertainty mathematical model motor power curve sucker rod pump due window deteriorating job delivery time earliness tardiness number theory Collatz conjecture landslide displacement prediction local mean decomposition bidirectional long short-term memory maximal information coefficient single-machine scheduling aging effect group technology athlete signal processing balance control ability multi-headed self-attention mechanism sandwich plate graphene nanoplates vibration rotating porosity remaining useful life prediction transformer random forest engineering geology soil consolidation excess pore water pressure physics-informed neural network (PINN) abstractive text summarization semantic graph semantic graph embedding Arabic text summarization autonomous vehicle prognostic health management sensor-based fault detection data-driven approaches perception sensors composite materials Convolutional AutoEncoder (CAE) delamination mechanoluminescent (ML) sensor non-contact sensing structural health monitoring covariance matrix estimation shrinkage transformations rotation-invariant estimator portfolio optimization similarity plagiarism semantic SRL fuzzy labeling classification DeepPCANet diabetic retinopathy medical imaging PCA AutoML NAS n/a
Linkit:	DOAB: download the publication DOAB: description of the publication
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