null
Loading... Please wait...
FREE SHIPPING on All Unbranded Items LEARN MORE
Print This Page

Intelligent Systems and Machine Learning for Industry (Advancements, Challenges, and Practices)

List Price: $79.99
SKU:
9781032261454
Quantity:
Minimum Purchase
25 unit(s)
  • Availability: Confirm prior to ordering
  • Branding: minimum 50 pieces (add’l costs below)
  • Check Freight Rates (branded products only)

Branding Options (v), Availability & Lead Times

  • 1-Color Imprint: $2.00 ea.
  • Promo-Page Insert: $2.50 ea. (full-color printed, single-sided page)
  • Belly-Band Wrap: $2.50 ea. (full-color printed)
  • Set-Up Charge: $45 per decoration
FULL DETAILS
  • Availability: Product availability changes daily, so please confirm your quantity is available prior to placing an order.
  • Branded Products: allow 10 business days from proof approval for production. Branding options may be limited or unavailable based on product design or cover artwork.
  • Unbranded Products: allow 3-5 business days for shipping. All Unbranded items receive FREE ground shipping in the US. Inquire for international shipping.
  • RETURNS/CANCELLATIONS: All orders, branded or unbranded, are NON-CANCELLABLE and NON-RETURNABLE once a purchase order has been received.
  • Product Details

    Author:
    P. R Anisha, C. Kishor Kumar Reddy, Nhu Gia Nguyen, Megha Bhushan, Ashok Kumar, Marlia Mohd Hanafiah
    Format:
    Paperback
    Pages:
    362
    Publisher:
    CRC Press (October 7, 2024)
    Language:
    English
    Audience:
    College/higher education
    ISBN-13:
    9781032261454
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_260110060646478-20260110.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $79.99
    Country of Origin:
    United States
    Pub Discount:
    30
    Series:
    Computational Methods for Industrial Applications
    As low as:
    $75.99
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Weight:
    19.875oz
    Case Pack:
    1
    Imprint:
    CRC Press
  • Overview

    The text discusses models related to smart automation in the manufacturing processes and early warning detection systems using machine intelligence. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields such as electrical, electronics and communication.