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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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Médium: Online
Jazyk:angličtina
španělština
Vydáno: South American Publishing 2026
Témata:
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
On-line přístup:https://directory.doabooks.org/handle/20.500.12854/176900
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Shrnutí: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.

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