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ISBN 10: 1799890139 ISBN 13: 9781799890133
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Aggiungi al carrelloEinband - flex.(Paperback). Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Delivers technological solutions to improve smart technologies architecture, healthcare, and environmental sustainability. The book also provides background on key aspects such as computational solutions, computation framework, smart prediction, and healthc.
Lingua: Inglese
Editore: Engineering Science Reference, 2022
ISBN 10: 1799890139 ISBN 13: 9781799890133
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Applications of Computational Science in Artificial Intelligence | Anand Nayyar (u. a.) | Taschenbuch | Englisch | 2022 | Engineering Science Reference | EAN 9781799890133 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
Lingua: Inglese
Editore: Engineering Science Reference, 2022
ISBN 10: 1799890139 ISBN 13: 9781799890133
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Computational science, in collaboration with engineering, acts as a bridge between hypothesis and experimentation. It is essential to use computational methods and their applications in order to automate processes as many major industries rely on advanced modeling and simulation. Computational science is inherently interdisciplinary and can be used to identify and evaluate complicated systems, foresee their performance, and enhance procedures and strategies. Applications of Computational Science in Artificial Intelligence delivers technological solutions to improve smart technologies architecture, healthcare, and environmental sustainability. It also provides background on key aspects such as computational solutions, computation framework, smart prediction, and healthcare solutions. Covering a range of topics such as high-performance computing and software infrastructure, this reference work is ideal for software engineers, practitioners, researchers, scholars, academicians, instructors, and students.