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  • Artificial Intelligence and Industrial Applications: Algorithms, Techniques, and Engineering Applications

    Artificial Intelligence and Industrial Applications by Masrour, Tawfik; Ramchoun, Hassan; Hajji, Tarik; Hosni, Mohamed;

    Algorithms, Techniques, and Engineering Applications

    Series: Lecture Notes in Networks and Systems; 772;

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      • Publisher's listprice EUR 299.59
      • 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.

        124 254 Ft (118 338 Ft + 5% VAT)
      • Discount 20% (cc. 24 851 Ft off)
      • Discounted price 99 404 Ft (94 670 Ft + 5% VAT)

    124 254 Ft

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    printed on demand

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    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:

    • Edition number 2023
    • Publisher Springer Nature Switzerland
    • Date of Publication 15 September 2023
    • Number of Volumes 1 pieces, Book

    • ISBN 9783031435195
    • Binding Hardback
    • No. of pages472 pages
    • Size 235x155 mm
    • Weight 904 g
    • Language English
    • Illustrations XXII, 472 p. 261 illus., 197 illus. in color. Illustrations, black & white
    • 496

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    Long description:

    Amid the dynamic growth of artificial intelligence, this book presents a collection of findings and advancements from the second edition of the A2IA-Artificial Intelligence and Industrial Applications conference. The conference, hosted by ENSAM-Meknès at Moulay Ismail University, Morocco, fosters knowledge exchange in AI, focusing primarily on its industrial applications.

    Covering a wide range of topics, the book highlights the adaptable nature of AI and its increasing impact on industrial sectors. It brings together contributions from an international cohort of researchers, discussing themes such as intelligent manufacturing and maintenance, intelligent supply chain management, various modes of learning including supervised, unsupervised, reinforcement, semi-supervised, and graph-based, as well as neural networks, deep learning, planning, and optimization.

    A defining feature of this edition is its extensive scope and emphasis on the practical applications of AI, along with its foundational elements. It facilitates an understanding of AI's current state and potential future direction, showcasing recent developments that bridge the gap between theory and practice.

    Designed for a diverse readership, this book is of interest to AI practitioners, academics, and enthusiasts, as well as to those new to the field. It provides an opportunity to explore AI's critical role in industrial applications, and the practical insights it offers are likely to be beneficial for decision-making within industrial settings.

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    Table of Contents:

    Learning to Irrigate - A model of the plant water balance.- Free and Unfree Weed Classification in Young Palm Oil Crops using Artificial Neural Network.- A Method for Bengali Author Detection using State of the Arts Supervised Machine Learning Classifiers.- Robust State of Charge Estimation and Simulation of Lithium-ion Batteries Using Deep Neural Network and Optimized Random Forest Regression Algorithm.- Advancing Lithium-Ion Battery Management with Deep Learning: A Comprehensive Review.- Contribution to Solving the Cover Set Scheduling Problem and Maximizing Wireless Sensor Networks Lifetime using an Adapted Genetic Algorithm.- Comparative Study between Double Vector Quantization Using SOM and GMM for Prediction Time Series Problem.







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