9786206164753 - AI and ML for Electrical and Computer Engineering: AI and ML Technology de R. E., Franklin Jino; M., Thamil Alagan; A., Jainulafdeen (6 resultados)

Taschenbuch. Condición: Neu. AI and ML for Electrical and Computer Engineering | AI and ML Technology | Franklin Jino R. E. (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206164753 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condición: gut. AI and ML for Electrical and Computer Engineering: AI and ML Technology In deutscher Sprache. pages.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The application of artificial intelligence (AI) and machine learning (ML) in the engineering sector has transformed the way businesses operate. AI and ML are used to automate complex tasks, improve efficiency, and reduce costs. In the engineering sector, AI and ML are used in various areas, including design and modeling, process optimization, quality control, and predictive maintenance.AI and ML are used in design and modeling to analyze large amounts of data and create accurate models. This enables engineers to quickly design and test products without having to build physical prototypes. In process optimization, AI and ML algorithms are used to optimize manufacturing processes, reduce waste, and improve productivity. In quality control, AI and ML are used to detect defects and anomalies in products and processes, reducing the need for manual inspection. Predictive maintenance is another area where AI and ML are used to analyze data from sensors and machines to predict when maintenance is needed, reducing downtime and increasing productivity. 60 pp. Englisch.

Kartoniert / Broschiert. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: R. E. Franklin JinoFranklin Jino.R.E is a skilled Computer Science and Engg professional with 14+ years of experience. He has a Masters degree in Computer and Information Tech and has worked as a PHP Developer & Assistant Professor. .

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The application of artificial intelligence (AI) and machine learning (ML) in the engineering sector has transformed the way businesses operate. AI and ML are used to automate complex tasks, improve efficiency, and reduce costs. In the engineering sector, AI and ML are used in various areas, including design and modeling, process optimization, quality control, and predictive maintenance.AI and ML are used in design and modeling to analyze large amounts of data and create accurate models. This enables engineers to quickly design and test products without having to build physical prototypes. In process optimization, AI and ML algorithms are used to optimize manufacturing processes, reduce waste, and improve productivity. In quality control, AI and ML are used to detect defects and anomalies in products and processes, reducing the need for manual inspection. Predictive maintenance is another area where AI and ML are used to analyze data from sensors and machines to predict when maintenance is needed, reducing downtime and increasing productivity.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The application of artificial intelligence (AI) and machine learning (ML) in the engineering sector has transformed the way businesses operate. AI and ML are used to automate complex tasks, improve efficiency, and reduce costs. In the engineering sector, AI and ML are used in various areas, including design and modeling, process optimization, quality control, and predictive maintenance.AI and ML are used in design and modeling to analyze large amounts of data and create accurate models. This enables engineers to quickly design and test products without having to build physical prototypes. In process optimization, AI and ML algorithms are used to optimize manufacturing processes, reduce waste, and improve productivity. In quality control, AI and ML are used to detect defects and anomalies in products and processes, reducing the need for manual inspection. Predictive maintenance is another area where AI and ML are used to analyze data from sensors and machines to predict when maintenance is needed, reducing downtime and increasing productivity.