Artificial Intelligence in Modeling and Simulation
The Special Issue on "Artificial Intelligence in Modeling and Simulation" presents a collection of papers demonstrating the significant impact of artificial intelligence (AI) on various aspects of modeling and simulation (M&S). This reprint features 11 selected papers that focus on integrating AI te...
में बचाया:
| स्वरूप: | Online |
|---|---|
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
|
| विषय: | |
| ऑनलाइन पहुंच: | ONIX_20240906_9783725815173_117 |
| टैग: |
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
|
| _version_ | 1869516885627764736 |
|---|---|
| collection | Directory of Open Access Books |
| description | The Special Issue on "Artificial Intelligence in Modeling and Simulation" presents a collection of papers demonstrating the significant impact of artificial intelligence (AI) on various aspects of modeling and simulation (M&S). This reprint features 11 selected papers that focus on integrating AI techniques to improve simulation models' accuracy, efficiency, and applicability across different domains. This Special Issue includes research on using AI for optimizing simulation processes, such as reducing computation times and increasing predictive accuracy in complex systems. For instance, one study investigates the impact of different activation functions on the performance of neural networks in finite element simulations, while another reviews the application of AI in time series prediction. Furthermore, the issue covers the role of AI in real-time data processing and classification, showcasing methods to improve the detection and evaluation of data in operational technologies and structural health monitoring. The interaction between AI and agent-based modeling is also addressed, demonstrating how automated data extraction and model validation can significantly advance the development and application of agent-based models. This Special Issue provides valuable insights and methodologies for researchers and practitioners, highlighting the broad range of applications and significant advancements driven by AI in M&S. |
| format | Online |
| id | doab-20.500.12854ir-143755 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1437552024-09-06T08:18:50Z Artificial Intelligence in Modeling and Simulation Fachada, Nuno David, Nuno agent-based model epidemiology infectious disease simulation COVID-19 transfer learning alexnet crack detection agent-based modeling natural language processing unsupervised data extraction model contextualization constitutive behavior ANN flow law numerical implementation user hardening activation functions abaqus bibliometric analysis agent-based modelling artificial intelligence complex systems RStudio VOSviewer Bibliometrix discrete multiple objective metamodel optimization test environment automated storage and retrieval system makespan minimization simulation optimization discrete event simulation biased-randomized algorithms classification evaluation non-stationary message streams time series forecasting artificial neural network architectures machine learning dynamical systems time series statistical modeling techniques generative AI image to text computer vision machine translation uncertainty text mining classification methods datasets operational technology protocol classification protocol recognition security n/a thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science The Special Issue on "Artificial Intelligence in Modeling and Simulation" presents a collection of papers demonstrating the significant impact of artificial intelligence (AI) on various aspects of modeling and simulation (M&S). This reprint features 11 selected papers that focus on integrating AI techniques to improve simulation models' accuracy, efficiency, and applicability across different domains. This Special Issue includes research on using AI for optimizing simulation processes, such as reducing computation times and increasing predictive accuracy in complex systems. For instance, one study investigates the impact of different activation functions on the performance of neural networks in finite element simulations, while another reviews the application of AI in time series prediction. Furthermore, the issue covers the role of AI in real-time data processing and classification, showcasing methods to improve the detection and evaluation of data in operational technologies and structural health monitoring. The interaction between AI and agent-based modeling is also addressed, demonstrating how automated data extraction and model validation can significantly advance the development and application of agent-based models. This Special Issue provides valuable insights and methodologies for researchers and practitioners, highlighting the broad range of applications and significant advancements driven by AI in M&S. 2024-09-06T08:18:47Z 2024-09-06T08:18:47Z 2024 book ONIX_20240906_9783725815173_117 9783725815173 9783725815180 https://directory.doabooks.org/handle/20.500.12854/143755 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/9477 https://mdpi.com/books/pdfview/book/9477 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-1518-0 10.3390/books978-3-7258-1518-0 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725815173 9783725815180 open access |
| spellingShingle | agent-based model epidemiology infectious disease simulation COVID-19 transfer learning alexnet crack detection agent-based modeling natural language processing unsupervised data extraction model contextualization constitutive behavior ANN flow law numerical implementation user hardening activation functions abaqus bibliometric analysis agent-based modelling artificial intelligence complex systems RStudio VOSviewer Bibliometrix discrete multiple objective metamodel optimization test environment automated storage and retrieval system makespan minimization simulation optimization discrete event simulation biased-randomized algorithms classification evaluation non-stationary message streams time series forecasting artificial neural network architectures machine learning dynamical systems time series statistical modeling techniques generative AI image to text computer vision machine translation uncertainty text mining classification methods datasets operational technology protocol classification protocol recognition security n/a thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science Artificial Intelligence in Modeling and Simulation |
| title | Artificial Intelligence in Modeling and Simulation |
| title_full | Artificial Intelligence in Modeling and Simulation |
| title_fullStr | Artificial Intelligence in Modeling and Simulation |
| title_full_unstemmed | Artificial Intelligence in Modeling and Simulation |
| title_short | Artificial Intelligence in Modeling and Simulation |
| title_sort | artificial intelligence in modeling and simulation |
| topic | agent-based model epidemiology infectious disease simulation COVID-19 transfer learning alexnet crack detection agent-based modeling natural language processing unsupervised data extraction model contextualization constitutive behavior ANN flow law numerical implementation user hardening activation functions abaqus bibliometric analysis agent-based modelling artificial intelligence complex systems RStudio VOSviewer Bibliometrix discrete multiple objective metamodel optimization test environment automated storage and retrieval system makespan minimization simulation optimization discrete event simulation biased-randomized algorithms classification evaluation non-stationary message streams time series forecasting artificial neural network architectures machine learning dynamical systems time series statistical modeling techniques generative AI image to text computer vision machine translation uncertainty text mining classification methods datasets operational technology protocol classification protocol recognition security n/a thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | agent-based model epidemiology infectious disease simulation COVID-19 transfer learning alexnet crack detection agent-based modeling natural language processing unsupervised data extraction model contextualization constitutive behavior ANN flow law numerical implementation user hardening activation functions abaqus bibliometric analysis agent-based modelling artificial intelligence complex systems RStudio VOSviewer Bibliometrix discrete multiple objective metamodel optimization test environment automated storage and retrieval system makespan minimization simulation optimization discrete event simulation biased-randomized algorithms classification evaluation non-stationary message streams time series forecasting artificial neural network architectures machine learning dynamical systems time series statistical modeling techniques generative AI image to text computer vision machine translation uncertainty text mining classification methods datasets operational technology protocol classification protocol recognition security n/a thema EDItEUR::U Computing and Information Technology thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20240906_9783725815173_117 |