Jain M Applications of Mathematical Modeling, Machine Learning, 2023 [TorrentX]

Textbook in PDF format
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.
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.
Preface
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
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 discounts 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 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
An 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 wide degree of freedom
Analyses of repetitive motions in goods to person order picking strategies using 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