Artificial Intelligence in Mechanical and Industrial Engineering - Kumar, Kaushik; Zindani, Divya; Davim, J. Paulo; (ed.) - Prospero Internet Bookshop

Artificial Intelligence in Mechanical and Industrial Engineering
 
Product details:

ISBN13:9781032012964
ISBN10:103201296X
Binding:Paperback
No. of pages:156 pages
Size:234x156 mm
Weight:285 g
Language:English
Illustrations: 59 Illustrations, black & white; 6 Halftones, black & white; 53 Line drawings, black & white; 27 Tables, black & white
691
Category:

Artificial Intelligence in Mechanical and Industrial Engineering

 
Edition number: 1
Publisher: CRC Press
Date of Publication:
 
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GBP 45.99
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24 144 HUF (22 995 HUF + 5% VAT)
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Short description:

This book offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book will cover the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains.

Long description:
. 5. Intelligent Control Design Schemes of a Two-Link Robotic Manipulator. 6. Maize Leaf Disease Detection and Classification Using Deep Learning. SECTION III: Application towards Industrial Engineering. 7. Inspectorate Patterns for Cell Recognition in Cellular Manufacturing. 8. Optimization of Operating Parameters of Wire EDM. Index.
Table of Contents:
SECTION I: State of Art. 1. An Overview of Machine Learning Implementation in Various Industrial Scenarios- Agriculture, Healthcare and Enterprise. SECTION II: Application towards Mechanical Engineering. 2. Artificial Intelligence in Predciting the Optimized Wear Behavior Parameters of Sintered Titanium Grade 5 Reinforced with Nano B4C Particles. 3. Tribological Behaviour of AL7068-Alumina-B4C Hybrid Composites and Optimization with DEMATEL Technique. 4. A Comparison of ACO and GA for Routing AGVs Via C