Advanced Artificial Intelligence Models and Its Applications
The field of Artificial Intelligence (AI) has undergone enormous expansion since its inception in the mid-20th century, as demonstrated by its application across an array of engineering and scientific challenges. Particularly in the last decade, AI has witnessed a significant breakthrough with the a...
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| Μορφή: | Online |
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| Γλώσσα: | Αγγλικά |
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MDPI - Multidisciplinary Digital Publishing Institute
2023
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| Θέματα: | |
| Διαθέσιμο Online: | ONIX_20231130_9783036591322_62 |
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| _version_ | 1869518316302761984 |
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| collection | Directory of Open Access Books |
| description | The field of Artificial Intelligence (AI) has undergone enormous expansion since its inception in the mid-20th century, as demonstrated by its application across an array of engineering and scientific challenges. Particularly in the last decade, AI has witnessed a significant breakthrough with the advent of deep learning, which has facilitated the employment of various AI models across a multitude of domains. This reprint features ten papers accepted for publication in the Special Issue titled "Advanced Artificial Intelligence Models and Their Applications," published in the MDPI Mathematics journal. These papers explore numerous facets of advanced artificial intelligence models and their applications, covering areas such as cybersecurity, image classification, logistics optimization, automatic music generation, human capital investment, writer recognition, remote sensing image indexing, target tracking, and more. These diverse subjects highlight the extensive scope and capability of AI models in tackling intricate challenges across distinct fields, underlining the vast potential inherent in this cutting-edge technology. |
| format | Online |
| id | doab-20.500.12854ir-128610 |
| 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-1286102024-03-28T03:32:17Z Advanced Artificial Intelligence Models and Its Applications Zhou, Tao target features siamese trackers lightweight network target tracking chaotic system fruit fly optimization algorithm quantum-inspired computation parameter estimation neural network binary hash code image retrieval remote sensing writer recognition self-supervised learning embeddings dimension reduction clustering twin network Big Five personality test artificial intelligence human resources employee selection teamwork machine learning automatic music generation generative pre-training embedding representation learning logistics management artificial immune systems vehicle routing problem cross-docking automotive condition monitoring predictive maintenance deep learning class-imbalance learning feature clustering long-tailed classification classwise splitting SQL injection attacks recurrent neural network (RNN) autoencoder ANN CNN decision tree naive Bayes SVM random forest logistic regression thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science The field of Artificial Intelligence (AI) has undergone enormous expansion since its inception in the mid-20th century, as demonstrated by its application across an array of engineering and scientific challenges. Particularly in the last decade, AI has witnessed a significant breakthrough with the advent of deep learning, which has facilitated the employment of various AI models across a multitude of domains. This reprint features ten papers accepted for publication in the Special Issue titled "Advanced Artificial Intelligence Models and Their Applications," published in the MDPI Mathematics journal. These papers explore numerous facets of advanced artificial intelligence models and their applications, covering areas such as cybersecurity, image classification, logistics optimization, automatic music generation, human capital investment, writer recognition, remote sensing image indexing, target tracking, and more. These diverse subjects highlight the extensive scope and capability of AI models in tackling intricate challenges across distinct fields, underlining the vast potential inherent in this cutting-edge technology. 2023-11-30T20:36:07Z 2023-11-30T20:36:07Z 2023 book ONIX_20231130_9783036591322_62 9783036591322 9783036591339 https://directory.doabooks.org/handle/20.500.12854/128610 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/8062 https://mdpi.com/books/pdfview/book/8062 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-9133-9 10.3390/books978-3-0365-9133-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036591322 9783036591339 182 Basel open access |
| spellingShingle | target features siamese trackers lightweight network target tracking chaotic system fruit fly optimization algorithm quantum-inspired computation parameter estimation neural network binary hash code image retrieval remote sensing writer recognition self-supervised learning embeddings dimension reduction clustering twin network Big Five personality test artificial intelligence human resources employee selection teamwork machine learning automatic music generation generative pre-training embedding representation learning logistics management artificial immune systems vehicle routing problem cross-docking automotive condition monitoring predictive maintenance deep learning class-imbalance learning feature clustering long-tailed classification classwise splitting SQL injection attacks recurrent neural network (RNN) autoencoder ANN CNN decision tree naive Bayes SVM random forest logistic regression thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science Advanced Artificial Intelligence Models and Its Applications |
| title | Advanced Artificial Intelligence Models and Its Applications |
| title_full | Advanced Artificial Intelligence Models and Its Applications |
| title_fullStr | Advanced Artificial Intelligence Models and Its Applications |
| title_full_unstemmed | Advanced Artificial Intelligence Models and Its Applications |
| title_short | Advanced Artificial Intelligence Models and Its Applications |
| title_sort | advanced artificial intelligence models and its applications |
| topic | target features siamese trackers lightweight network target tracking chaotic system fruit fly optimization algorithm quantum-inspired computation parameter estimation neural network binary hash code image retrieval remote sensing writer recognition self-supervised learning embeddings dimension reduction clustering twin network Big Five personality test artificial intelligence human resources employee selection teamwork machine learning automatic music generation generative pre-training embedding representation learning logistics management artificial immune systems vehicle routing problem cross-docking automotive condition monitoring predictive maintenance deep learning class-imbalance learning feature clustering long-tailed classification classwise splitting SQL injection attacks recurrent neural network (RNN) autoencoder ANN CNN decision tree naive Bayes SVM random forest logistic regression thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| topic_facet | target features siamese trackers lightweight network target tracking chaotic system fruit fly optimization algorithm quantum-inspired computation parameter estimation neural network binary hash code image retrieval remote sensing writer recognition self-supervised learning embeddings dimension reduction clustering twin network Big Five personality test artificial intelligence human resources employee selection teamwork machine learning automatic music generation generative pre-training embedding representation learning logistics management artificial immune systems vehicle routing problem cross-docking automotive condition monitoring predictive maintenance deep learning class-imbalance learning feature clustering long-tailed classification classwise splitting SQL injection attacks recurrent neural network (RNN) autoencoder ANN CNN decision tree naive Bayes SVM random forest logistic regression thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| url | ONIX_20231130_9783036591322_62 |