Jain M., Sharma D.K., Kulshrestha R., Hota H.S. (eds.) Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development

CRC Press, 2023. — 425 p. — (Smart Technologies for Engineers and Scientists). — ISBN: 978-1-032-47929-3.The text focuses on mathematical modeling and applications of advanced techniques of Machine Learning, and Artificial Intelligence, including artificial neural networks, evolutionary computing, data mining, and fuzzy systems to solve performance and design issues more precisely. Intelligent computing encompasses technologies, algorithms, and models in providing effective and efficient solutions to a wide range of problems, including the airport’s intelligent safety system. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in fields that include industrial engineering, manufacturing engineering, computer engineering, and mathematics.The book is divided into three conceptual sections: Mathematical Modeling (MM), Machine Learning (ML), and Intelligent Computing (IC), with a total of 20 chapters.The book:Discusses mathematical modeling for traffic, sustainable supply chain, vehicular Ad-Hoc networks, and Internet of Things networks with intelligent gateways.
Covers advanced Machine Learning, Artificial Intelligence, fuzzy systems, evolutionary computing, and data mining techniques for real-world problems.
Presents applications of mathematical models in chronic diseases such as kidney and coronary artery diseases.
Highlights advances in mathematical modeling, strength, and benefits of Machine Learning and Artificial Intelligence, including driving goals, applicability, algorithms, and processes involved.
Showcases emerging real-life topics on mathematical models, machine learning, and intelligent computing using an interdisciplinary approach.The text presents emerging real-life topics on mathematical models, Machine Learning, and intelligent computing in a single volume. It will serve as an ideal text for senior undergraduate students, graduate students, and researchers in diverse fields, including industrial and manufacturing engineering, computer engineering, and mathematics.SECTION 1 Mathematical modeling.
An interactive weight-based portfolio system using goal programming.
Generalized knowledge measure based on hesitant fuzzy sets with application to MCDM.
A queuing system with customers’ impatience, retention, and feedback.
Controllable multiprocessor queueing system.
Multi-server queuing system with feedback and retention.
Retrial queueing system subject to differentiated vacations with impatient customers.
A preorder discount and online payment facility on a sustainable inventory model with controllable carbon emission.
Green inventory systems with two warehouses for rubber waste items.
SECTION 2 Machine learning.
Cyber-attack detection applying machine learning approach.
Feature extraction methods for intelligent audio signal classification.
Feature detection and extraction techniques with different similarity measures using a bag of features scheme.
Stratification-based initialization model on partitional clustering for big data mining.
Regression ensemble techniques with technical indicators for prediction of financial time series data.
Intelligent system for integrating customer’s voice with CAD for seat comfort.
Implementation of machine learning to detect real-time web application vulnerabilities.
SECTION 3 Intelligent computing.
Intelligent decision support system for air traffic management.
Bio-mechanical hand with a wide degree of freedom.
Analyzes repetitive motions in goods-to-person order-picking strategies using an intelligent human factors system.
Hybridization of IoT networks with intelligent gateways.
M/M1 + M2/1/N/K-policy queues to monitor waiting times via intelligent computing.