Applied Computing and Artificial Intelligence

doi:10.3390/books978-3-0365-8023-4

Reprint

Download Flyer

Applied Computing and Artificial Intelligence

Edited by

July 2023

420 pages

ISBN978-3-0365-8022-7 (Hardback)
ISBN978-3-0365-8023-4 (PDF)

https://doi.org/10.3390/books978-3-0365-8023-4

Free download (PDF)

This book is a reprint of the Special Issue Applied Computing and Artificial Intelligence that was published in

Computer Science & Mathematics

Engineering

Physical Sciences

Public Health & Healthcare

Summary

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 industry, manufacturing, transportation, energy, robotics, materials, informatics, etc. The objective of this Special Issue is to present advanced methods in applied computing and artificial intelligence to address the practical challenges in the related areas. The response of the scientific community has been remarkable, and a large number of papers have been submitted. After a careful peer-review process, 22 high-quality papers have been accepted and published. It is hoped that the papers will have an impact on international scholars in this field and promote further remarkable research in this area.

Format

Hardback

License

Keywords

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; domain adaptation; fault diagnosis; mathematical model; motor power curve; sucker rod pump; scheduling; 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; learning effect; group technology; athlete signal processing; deep learning; balance control ability; multi-headed self-attention mechanism; sandwich plate; graphene nanoplates; vibration; rotating; porosity; deep learning; remaining useful life prediction; transformer; random forest; engineering geology; soil consolidation; excess pore water pressure; deep learning; 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; deep learning; DeepPCANet; diabetic retinopathy; medical imaging; PCA; AutoML; NAS; n/a