Superintelligence Series Volume 1: Artificial Intelligence for Operational and Predictive Optimization
Examines how artificial intelligence is reshaping operational and predictive optimization across industrial, technological, and social contexts. The contributions address applications ranging from smart logistics and predictive maintenance to structural design, healthcare processes, and dentistry, s...
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| Format: | Online |
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| Sprog: | engelsk spansk |
| Udgivet: |
South American Publishing
2026
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| Fag: | |
| Online adgang: | https://directory.doabooks.org/handle/20.500.12854/176900 |
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| _version_ | 1869514524267118592 |
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| collection | Directory of Open Access Books |
| description | Examines how artificial intelligence is reshaping operational and predictive optimization across industrial, technological, and social contexts. The contributions address applications ranging from smart logistics and predictive maintenance to structural design, healthcare processes, and dentistry, showing how intelligent systems support analysis and decision-making in real settings. By combining deep learning, genetic algorithms, expert systems, and hybrid models, the studies reflect current practices rather than abstract experimentation. Attention is also given to ethical and sustainable adoption, linking technical development with human and organizational needs. With its interdisciplinary and applied focus, the work offers valuable perspectives for researchers, engineers, academics, and decision-makers navigating AI-driven optimization in contemporary environments. |
| format | Online |
| id | doab-20.500.12854ir-176900 |
| institution | Directory of Open Access Books |
| language | eng spa |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | South American Publishing |
| publisherStr | South American Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1769002026-05-25T06:44:34Z Superintelligence Series Volume 1: Artificial Intelligence for Operational and Predictive Optimization Román-Acosta, Daniel Zaragoza Alvarado, Guillermo Alejandro Artificial Intelligence, Operational Optimization, Machine Learning, Neural Networks, Predictive Systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning Examines how artificial intelligence is reshaping operational and predictive optimization across industrial, technological, and social contexts. The contributions address applications ranging from smart logistics and predictive maintenance to structural design, healthcare processes, and dentistry, showing how intelligent systems support analysis and decision-making in real settings. By combining deep learning, genetic algorithms, expert systems, and hybrid models, the studies reflect current practices rather than abstract experimentation. Attention is also given to ethical and sustainable adoption, linking technical development with human and organizational needs. With its interdisciplinary and applied focus, the work offers valuable perspectives for researchers, engineers, academics, and decision-makers navigating AI-driven optimization in contemporary environments. Published 2026-05-25T06:44:32Z 2026-05-25T06:44:32Z 2024-01-01 book 978-9915-9851-1-4 https://directory.doabooks.org/handle/20.500.12854/176900 eng spa application/octet-stream South American Publishing South American Publishing 10.62486/978-9915-9851-1-4 10.62486/978-9915-9851-1-4 18fbfe3b-3f91-4cf7-b6b9-18d696cb9331 978-9915-9851-1-4 South American Publishing 56 Montevideo open access |
| spellingShingle | Artificial Intelligence, Operational Optimization, Machine Learning, Neural Networks, Predictive Systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning Superintelligence Series Volume 1: Artificial Intelligence for Operational and Predictive Optimization |
| title | Superintelligence Series Volume 1: Artificial Intelligence for Operational and Predictive Optimization |
| title_full | Superintelligence Series Volume 1: Artificial Intelligence for Operational and Predictive Optimization |
| title_fullStr | Superintelligence Series Volume 1: Artificial Intelligence for Operational and Predictive Optimization |
| title_full_unstemmed | Superintelligence Series Volume 1: Artificial Intelligence for Operational and Predictive Optimization |
| title_short | Superintelligence Series Volume 1: Artificial Intelligence for Operational and Predictive Optimization |
| title_sort | superintelligence series volume 1 artificial intelligence for operational and predictive optimization |
| topic | Artificial Intelligence, Operational Optimization, Machine Learning, Neural Networks, Predictive Systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| topic_facet | Artificial Intelligence, Operational Optimization, Machine Learning, Neural Networks, Predictive Systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning |
| url | https://directory.doabooks.org/handle/20.500.12854/176900 |