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  • Deep learning in virology: Artifical Intelligence in Life Sciences. DE

    Deep learning in virology by Abid, Nabeeha; Rafaqat, Suman; Yousaf, Muhammad.Zubair;

    Artifical Intelligence in Life Sciences. DE

      • GET 5% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice EUR 60.90
      • 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.

        25 258 Ft (24 055 Ft + 5% VAT)
      • Discount 5% (cc. 1 263 Ft off)
      • Discounted price 23 995 Ft (22 852 Ft + 5% VAT)

    25 258 Ft

    db

    Availability

    printed on demand

    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.

    Product details:

    • Publisher LAP Lambert Academic Publishing
    • Date of Publication 1 January 2025
    • Number of Volumes Großformatiges Paperback. Klappenbroschur

    • ISBN 9786208424589
    • Binding Paperback
    • No. of pages92 pages
    • Size 220x150 mm
    • Language English
    • 625

    Categories

    Long description:

    This book delves into the transformative role of deep learning in virology, highlighting how advancements in artificial intelligence have revolutionized our understanding, detection, and treatment of viral diseases. By bridging the gap between computational power and biological complexity, deep learning has become an essential tool in modern virology. By combining technical insights with real-world applications, this book provides a comprehensive resource for researchers, students, and professionals at the intersection of computational science and virology. It underscores how deep learning is not just a tool but a paradigm shift, paving the way for a future where viral diseases can be understood and managed with unprecedented precision.

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