Tags
Language
Tags
<<
July 2025
Su Mo Tu We Th Fr Sa
29 30 1 2 3 4 5
6 7 8 9 10 11 12
13 14 15 16 17 18 19
20 21 22 23 24 25 26
27 28 29 30 31 1 2
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌
    KoalaNames.com
    What’s in a name? More than you think.

    Your name isn’t just a label – it’s a vibe, a map, a story written in stars and numbers.
    At KoalaNames.com, we’ve cracked the code behind 17,000+ names to uncover the magic hiding in yours.

    ✨ Want to know what your name really says about you? You’ll get:

    🔮 Deep meaning and cultural roots
    ♈️ Zodiac-powered personality insights
    🔢 Your life path number (and what it means for your future)
    🌈 Daily affirmations based on your name’s unique energy

    Or flip the script – create a name from scratch using our wild Name Generator.
    Filter by star sign, numerology, origin, elements, and more. Go as woo-woo or chill as you like.

    💥 Ready to unlock your name’s power?

    👉 Tap in now at KoalaNames.com
    1. Home
    2. eBooks & eLearning
    3. "Dynamic Data Assimilation: Beating the Uncertainties" ed. by Dinesh G. Harkut

    "Dynamic Data Assimilation: Beating the Uncertainties" ed. by Dinesh G. Harkut

    Posted By: exLib
    Date: 29 Nov 2020 23:59:35
    "Dynamic Data Assimilation: Beating the Uncertainties" ed. by Dinesh G. Harkut

    "Dynamic Data Assimilation: Beating the Uncertainties" ed. by Dinesh G. Harkut
    ITExLi | 2020 | ISBN: 1839680849 9781839680847 1839680830 9781839680830 1839680857 9781839680854 | 105 pages | PDF | 5 MB

    This book examines data assimilation methods including Kalman filtering, artificial intelligence, neural networks, machine learning, and cognitive computing.

    Data assimilation is a process of fusing data with a model for the singular purpose of estimating unknown variables. It can be used, for example, to predict the evolution of the atmosphere at a given point and time.

    Contents
    1. Introductory Chapter: Data Assimilation
    2. Adaptive Filter as Efficient Tool for Data Assimilation under Uncertainties
    3. Convolutional Neural Network Demystified for a Comprehensive Learning with Industrial Application
    4. Estimation for Motion in Tracking and Detection Objects with Kalman Filter
    5. Kalman Filtering Applied to Induction Motor State Estimation
    6. Data Processing Using Artificial Neural Networks

    1st true PDF with TOC BookMarkLinks

    More : You find here
    UPWARDS