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Can lend chapters, not whole ebooks
Title
Artificial intelligence in industrial applications : approaches to solve the intrinsic industrial optimization problems / Steven Lawrence Fernandes, Tarun K. Sharma, editors.
ISBN
9783030853839 (electronic bk.)
3030853837 (electronic bk.)
9783030853822
3030853829
Published
Cham : Springer, [2022]
Copyright
©2022
Language
English
Description
1 online resource : illustrations (chiefly color)
Other Standard Identifiers
10.1007/978-3-030-85383-9 doi
Call Number
Q335 .A78 2022
Dewey Decimal Classification
006.3
Summary
This book highlights the analytics and optimization issues in industry, to propose new approaches, and to present applications of innovative approaches in real facilities. In the past few decades there has been an exponential rise in the application of artificial intelligence for solving complex and intricate problems arising in industrial domain. The versatility of these techniques have made them a favorite among scientists and researchers working in diverse areas. The book is edited to serve a broad readership, including computer scientists, medical professionals, and mathematicians interested in studying computational intelligence and their applications. It will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of Artificial Intelligence and Industrial problems. This book will be a useful resource for researchers, academicians as well as professionals interested in the highly interdisciplinary field of Artificial Intelligence.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Digital File Characteristics
text file
PDF
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 16, 2021).
Series
Learning and analytics in intelligent systems ; v. 25.
Available in Other Form
Print version: 9783030853822
Chapter 1: Machine Learning Techniques for Grocery Sales Forecasting by Analyzing Historical Data
Chapter 2: Identifying impact of sanitation and environmental safety in hospitality sector to identify the spread of COVID -19 using Polynomial Function Simulation
Chapter 3: Upskilling and Curating the potentials of IoT enabled Smart Cities: Use Cases and Implementation Strategies
Chapter 4: An Efficient Deep Learning Framework for People Detection in Overhead Images.
