9786207450558 - Artificial Intelligence in Smart Systems: Applied Use Cases | Part 2 de I. Iliev, Alexander (5 resultados)

Taschenbuch. Condición: Neu. Artificial Intelligence in Smart Systems | Applied Use Cases Part 2 | Alexander I. Iliev | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786207450558 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 168 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In this book we discuss some AI implementations using popular machine learning models such as: Decision Tree Algorithm, Random Forest Algorithm, Deep Learning, and Convolution Neural Networks. Additionally, this work connects emotion recognition with cultur.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book we discuss some AI implementations using popular machine learning models such as: Decision Tree Algorithm, Random Forest Algorithm, Deep Learning, and Convolution Neural Networks. Additionally, this work connects emotion recognition with cultural context. It delves into the current AI applications in the aerospace industry, focusing on enhancing safety, predictive maintenance, and development of the Smart Factory concept. Furthermore, it showcases how FIWARE and smart systems help the management of resources and development of Smart Cities. The potential of smart technologies, including IoT, UAVs, Raspberry Pi, and ensemble learning, in various domains such as agriculture, surveillance, and healthcare are also brought to light. In addition, the book addresses the challenges posed by the exponential growth of data in the energy sector and the role of Phasor Measurement Units in monitoring power transformation. The findings highlight the benefits of these technologies in improving efficiency, cost reduction, and innovative solutions in existing challenges. Similar to Part 1, readers can also benefit from a Python example that utilizes Transfer Learning with ResNet50.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 168 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book we discuss some AI implementations using popular machine learning models such as: Decision Tree Algorithm, Random Forest Algorithm, Deep Learning, and Convolution Neural Networks. Additionally, this work connects emotion recognition with cultural context. It delves into the current AI applications in the aerospace industry, focusing on enhancing safety, predictive maintenance, and development of the Smart Factory concept. Furthermore, it showcases how FIWARE and smart systems help the management of resources and development of Smart Cities. The potential of smart technologies, including IoT, UAVs, Raspberry Pi, and ensemble learning, in various domains such as agriculture, surveillance, and healthcare are also brought to light. In addition, the book addresses the challenges posed by the exponential growth of data in the energy sector and the role of Phasor Measurement Units in monitoring power transformation. The findings highlight the benefits of these technologies in improving efficiency, cost reduction, and innovative solutions in existing challenges. Similar to Part 1, readers can also benefit from a Python example that utilizes Transfer Learning with ResNet50.