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Applied Computing and Artificial Intelligence
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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.
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Keywords
- abstractive text summarization
- adaptive method
- adaptive neuro fuzzy
- aging effect
- Arabic text summarization
- athlete signal processing
- AutoML
- Autonomous Vehicle
- balance control ability
- bidirectional long short-term memory
- bolted joint
- brightness feature
- Classification
- collatz conjecture
- common due date
- Composite materials
- convolution operation
- Convolutional AutoEncoder (CAE)
- convolutional neural network
- covariance matrix estimation
- cuckoo search
- data-driven approaches
- deep learning
- DeepPCANet
- delamination
- delivery time
- delivery times
- deteriorating job
- diabetic retinopathy
- different due date
- differential evolution
- domain adaptation
- dual-rotor system
- due window
- dynamic characteristics
- earliness
- Engineering geology
- excess pore water pressure
- fault diagnosis
- fuzzy labeling
- graphene nanoplates
- group technology
- hybrid algorithm
- integrated control and estimation
- intelligent graphic design
- JAYA
- landslide displacement prediction
- learning effect
- local mean decomposition
- Mathematical model
- Mathematics & science
- maximal information coefficient
- mechanoluminescent (ML) sensor
- Medical imaging
- motor power curve
- multi-headed self-attention mechanism
- n/a
- NAS
- Noise
- noisy label
- non-contact sensing
- number theory
- optimization
- parameter identification
- PCA
- perception sensors
- photovoltaic model
- physics-informed neural network (PINN)
- Plagiarism
- porosity
- portfolio optimization
- prognostic health management
- random forest
- Reference, information & interdisciplinary subjects
- remaining useful life prediction
- Research & information: general
- rotating
- rotating machine
- rotation-invariant estimator
- sandwich plate
- scaling relationships
- Scheduling
- Semantic
- semantic graph
- semantic graph embedding
- sensor-based fault detection
- shrinkage transformations
- similarity
- similitude
- single-machine scheduling
- slack due date
- soil consolidation
- spatial compression
- SRL
- Structural health monitoring
- sucker rod pump
- Tardiness
- traditional engraving graphics
- transformer
- uncertainty
- Vibration
Links
DOI: 10.3390/books978-3-0365-8023-4Editions