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 |
| 699 |
Category:
Mathematics in general
Engineering in general
Electrical engineering and telecommunications, precision engineering
Mechanical Engineering Sciences
Energy industry
Computer architecture, logic design
Supercomputers
Database management softwares
Artificial Intelligence
More books in the field of economy
Product design
Mathematics in general (charity campaign)
Engineering in general (charity campaign)
Electrical engineering and telecommunications, precision engineering (charity campaign)
Mechanical Engineering Sciences (charity campaign)
Energy industry (charity campaign)
Computer architecture, logic design (charity campaign)
Supercomputers (charity campaign)
Database management softwares (charity campaign)
Artificial Intelligence (charity campaign)
More books in the field of economy (charity campaign)
Product design (charity campaign)
Artificial Intelligence in Mechanical and Industrial Engineering
Edition number: 1
Publisher: CRC Press
Date of Publication: 29 November 2024
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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
