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Herausgeber: 
  • V. Indragandhi
  • Abhishek Gudipalli
  • B. Jaganatha Pandian
  • N. Amutha Prabha
  • Artificial Intelligence in Instrumentation, Control and Automation 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Februar 2026  
    Genre:  Naturwissensch., Medizin, Technik 
     
    adaptive control strategies / AI-Enabled Instrumentation / Artificial Intelligence / Artificial Intelligence (AI) / Autonomous Systems Engineering / COMPUTERS / Artificial Intelligence / General / Data-Driven Automation / Deep Learning
    ISBN:  9781394336135 
    EAN-Code: 
    9781394336135 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Seiten:  656 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:

    Revolutionize your industrial practice with this essential book, which provides a comprehensive overview of how artificial intelligence can be integrated into instrumentation and control systems to achieve unprecedented precision, efficiency, and autonomous optimization.

    Artificial Intelligence is increasingly becoming a game-changer in the fields of instrumentation, control, and automation, offering unprecedented capabilities to optimize processes, enhance efficiency, and drive innovation. AI algorithms and techniques could be integrated into traditional control systems to create smart and adaptive solutions capable of learning from data and making autonomous decisions for dynamic real-world environments. From predictive maintenance in manufacturing plants to navigation of autonomous vehicles in complex roadways, AI empowers instrumentation and control systems to operate with heightened precision and agility, revolutionizing industries across the board. This book will present the power of AI to optimize processes, enhance efficiency, and achieve unparalleled precision in instrumentation, control, and automation applications. It provides a comprehensive overview of these emerging technologies and their role in optimizing the instrumentation, control, and automation, covering topics such as neural networks and deep learning in control systems, data-driven modeling and prediction in automation, and optimization and decision-making in instrumentation using AI.

      



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