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...
保存先:
| フォーマット: | Online |
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| 言語: | 英語 |
| 出版事項: |
MDPI - Multidisciplinary Digital Publishing Institute
2023
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| 主題: | |
| オンライン･アクセス: | ONIX_20230808_9783036580227_2 |
| タグ: |
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| _version_ | 1869525031458963456 |
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| collection | Directory of Open Access Books |
| description | 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 | Online |
| id | doab-20.500.12854ir-112434 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1124342024-03-28T03:32:24Z Applied Computing and Artificial Intelligence Li, Xiang Zhang, Shuo Zhang, Wei 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science 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. 2023-08-08T15:10:54Z 2023-08-08T15:10:54Z 2023 book ONIX_20230808_9783036580227_2 9783036580227 9783036580234 https://directory.doabooks.org/handle/20.500.12854/112434 eng image/jpeg Attribution 4.0 International https://mdpi.com/books/pdfview/book/7545 https://mdpi.com/books/pdfview/book/7545 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-8023-4 10.3390/books978-3-0365-8023-4 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036580227 9783036580234 420 Basel open access |
| spellingShingle | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science Applied Computing and Artificial Intelligence |
| title | Applied Computing and Artificial Intelligence |
| title_full | Applied Computing and Artificial Intelligence |
| title_fullStr | Applied Computing and Artificial Intelligence |
| title_full_unstemmed | Applied Computing and Artificial Intelligence |
| title_short | Applied Computing and Artificial Intelligence |
| title_sort | applied computing and artificial intelligence |
| topic | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| topic_facet | 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| url | ONIX_20230808_9783036580227_2 |