17th WCEAM proceedings = sustainable...
World Congress on Engineering Asset Management (2024 :)

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  • 17th WCEAM proceedings = sustainable management of engineered assets in a post-Covid 19 world : industry 4.0, digital transformation, society 5.0 and beyond /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: 17th WCEAM proceedings/ edited by Georges Abdul-Nour ... [et al.].
    Reminder of title: sustainable management of engineered assets in a post-Covid 19 world : industry 4.0, digital transformation, society 5.0 and beyond /
    remainder title: 17th WCEAM
    other author: Abdul-Nour, Georges.
    corporate name: World Congress on Engineering Asset Management
    Published: Cham :Springer Nature Switzerland : : 2024.,
    Description: xvi, 454 p. :ill. (chiefly color), digital ;24 cm.
    [NT 15003449]: Digital Twin Models in CBM Apps. A Framework for their Functionality Description & Requirements Analysis -- Understanding Opinions and Emotions of Generative Artificial Intelligence Assets using the Gartner Hype Cycle and Kübler-Ross Change Curve -- Optimising Solar and Battery Energy Storage System Using Yearly Inteval -- Intelligent fault diagnosis method of robot joint-harmonic reducer based on EMD and SVM -- Modelling Traffic Conditions in Developing Urban Areas: A Combined Approach of Explainable Artificial Intelligence and Mobile Crowd-Sourcing -- : Application of Unmanned Aerial Vehicle and YOLOv5 Model to Identify Water for Risk Assessment of Dengue Fever -- Development Perspective of Electrostatic Machine -- A novel method for gearbox fault diagnosis basaed on shift-invariant and shared dictionary learning -- Integrating Predictive Analytics with RAMS Analysisto Quantify Performance Improvement -- Incorporating Environmental Impacts and Endof-Life Potentials for Sustainable Asset Management Decision Making -- Increasing Asset Management Capabilities of Local Authorities in Sri Lanka; -- Assessment design before and after the emergence of generative AI -- Issues and Challenges in fault detection for commercial solar panels with Smart AI image processing techniques - A case study in an Australian utility company.
    Contained By: Springer Nature eBook
    Subject: Engineering - Congresses. - Management -
    Online resource: https://doi.org/10.1007/978-3-031-59042-9
    ISBN: 9783031590429
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