Georg Rauter (ed.); Giuseppe Carbone (ed.); Philippe C. Cattin (ed.); Azhar Zam (ed.); Doina Pisla (ed.); Robert (e Riener Springer (2022) Kovakantinen kirja
Georg Rauter (ed.); Giuseppe Carbone (ed.); Philippe C. Cattin (ed.); Azhar Zam (ed.); Doina Pisla (ed.); Robert (e Riener Springer (2023) Pehmeäkantinen kirja
Howie Choset; Kevin M. Lynch; Seth Hutchinson; George A. Kantor; Wolfram Burgard; Lydia E. Kavraki; Sebastian Thrun MIT Press Ltd (2005) Kovakantinen kirja
H. Behnken; E. Brodhun; Th. Dreisch; J. Eggert; R. Frerichs; J. Hopmann; Chr. Jensen; H. Konen; G. Laski; E. Lax; Ley Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (1928) Pehmeäkantinen kirja
Taylor & Francis Ltd Sivumäärä: 246 sivua Asu: Pehmeäkantinen kirja Julkaisuvuosi: 2024, 07.10.2024 (lisätietoa) Kieli: Englanti
This book will help readers to understand the concepts of computational intelligence in automation industries, industrial IoT (IIOT), cognitive systems, data science, and Ecommerce real time applications.
The book:
Covers computational intelligence in automation industries, industrial IoT (IIOT) , cognitive systems and medical Imaging Discusses intelligent robotics applications with the integration of automation and artificial intelligence Covers foundations of the mathematical concepts applied in robotics and industry automation applications Provides application of artificial intelligence (AI) in the area of computational intelligence
The text covers important topics including computational intelligence mathematical modeling, cognitive manufacturing in industry 4.0, artificial intelligence algorithms in robot development, collaborative robots and industrial IoT (IIoT), medical imaging, and multi-robot systems. The text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science.
Discussing the advantages of the integrated platform of industry automation, robotics and computational intelligence, this text will be useful for graduate students, professional and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer science. It enlightens the foundations of the mathematical concepts applied in robotics and industry automation applications.
