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  • Digital Twin Technology

    Digital Twin Technology by Chaudhary, Gopal; Khari, Manju; Elhoseny, Mohamed;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 44.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        21 493 Ft (20 470 Ft + 5% VAT)
      • Discount 20% (cc. 4 299 Ft off)
      • Discounted price 17 195 Ft (16 376 Ft + 5% VAT)

    21 493 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Short description:

    This book explores the latest developments and covers the significant challenges, issues, and advances in Digital Twin Technology. It will be an essential resource for anybody involved in related industries, as well as anybody interested in learning more about this nascent technology.


     

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    Long description:

    Most of the business sectors consider the Digital Twin concept as the next big thing in the industry. A current state analysis of their digital counterparts helps in the prediction of the future of physical assets. Organizations obtain better insights on their product performance through the implementation of Digital Twins, and the applications of the technology are frequently in sectors such as manufacturing, automobile, retail, health care, smart cities, industrial IoT, etc. This book explores the latest developments and covers the significant challenges, issues, and advances in Digital Twin Technology. It will be an essential resource for anybody involved in related industries, as well as anybody interested in learning more about this nascent technology.


     


    This book includes:


     



    • The future, present, and past of Digital Twin Technology. 

    • Digital twin technologies across the Internet of Drones, which developed various perceptive and autonomous capabilities, towards different control strategies such as object detection, navigation, security, collision avoidance, and backup. These approaches help to deal with the expansive growth of big data solutions. 

    • The recent digital twin concept in agriculture, which offers the vertical framing by IoT installation development to enhance the problematic food supply situation. It also allows for significant energy savings practices. It is highly required to overcome those challenges in developing advanced imaging methods of disease detection & prediction to achieve more accuracy in large land areas of crops.

    • The welfare of upcoming archetypes such as digitalization in forensic analysis. The ideas of digital twin have arisen to style the corporeal entity and associated facts reachable software and customers over digital platforms.

    • Wind catchers as earth building: Digital Twins vs. green sustainable architecture.

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    Table of Contents:

    Chapter 1:  Digital Twin Technology: An Evaluation


    Chapter 2:  Digital Twin: Towards Internet of Drones


    Chapter 3:  Digital Twin in Agriculture Sector: Detection of Disease using Deep Learning


    Chapter 4:  Crop Diseases Detection and Prevention using AI and Machine Learning Techniques


    Chapter 5:  Architecture of Digital Twin for Network Forensic Analysis Using NMAP and WireShark


    Chapter 6: Wind catchers as earth building: Digital Twins vs green sustainable architecture


    Chapter 7: Digital Twin and the Detection and Location of DoS attacks to Secure Cyber-Physical UAS


    Chapter 8:  Digital twin techniques in Recognition of Human Action using the fusion of Convolutional Neural Network


    Chapter 9: eVote - A Decentralised Voting Platform


    Chapter 10: Nessus: A vulnerability scanner tool in network forensic


    Chapter 11:  Case Studies Related to Depression Detection Using Deep Learning Techniques

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