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{ "item_title" : "Reliability Modelling, System Engineering, and Management Through Computational Intelligence", "item_author" : [" Mukesh Mishra", "Prashant Johri", "Adarsh Anand "], "item_description" : "This book discusses both reliability in reactive maintenance and an integrated, intelligent management strategy through the application of AI, machine learning, and soft computing. System reliability is becoming an increasingly critical concern due to the growing size and complexity of modern system designs. These systems encompass autonomous transportation networks and integrated power infrastructures. To address this paradigm shift, the disciplines of this book have united to integrate three fundamental domains: systematic System Engineering to ensure structural integrity, advanced reliability modeling to deliver precise prognoses, and cutting-edge computational intelligence (CI) to facilitate predictive decision-making. The book's topical sections encompass subjects such as digital siblings, critical infrastructures (including IoT, peripheral devices, smart city environments, and related areas), and fundamental data-driven frameworks. Researchers, graduate students, and professionals engaged in the development and maintenance of resilient technology for the future are encouraged to read this book. ", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/03/218/092/3032180929_b.jpg", "price_data" : { "retail_price" : "199.99", "online_price" : "199.99", "our_price" : "199.99", "club_price" : "199.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Reliability Modelling, System Engineering, and Management Through Computational Intelligence|Mukesh Mishra

Reliability Modelling, System Engineering, and Management Through Computational Intelligence : Reliability, Modelling, Optimization and Management

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Overview

This book discusses both reliability in reactive maintenance and an integrated, intelligent management strategy through the application of AI, machine learning, and soft computing. System reliability is becoming an increasingly critical concern due to the growing size and complexity of modern system designs. These systems encompass autonomous transportation networks and integrated power infrastructures. To address this paradigm shift, the disciplines of this book have united to integrate three fundamental domains: systematic System Engineering to ensure structural integrity, advanced reliability modeling to deliver precise prognoses, and cutting-edge computational intelligence (CI) to facilitate predictive decision-making.

The book's topical sections encompass subjects such as digital siblings, critical infrastructures (including IoT, peripheral devices, smart city environments, and related areas), and fundamental data-driven frameworks. Researchers, graduate students, and professionals engaged in the development and maintenance of resilient technology for the future are encouraged to read this book.

This item is Non-Returnable

Details

  • ISBN-13: 9783032180926
  • ISBN-10: 3032180929
  • Publisher: Springer
  • Publish Date: April 2026
  • Page Count: 282

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