Applications Of Mathematical Modeling Machine Learning And Intelligent Computing For Industrial Development

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Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development

Madhu Jain,Dinesh K Sharma,Rakhee Kulshrestha,H.S. Hota
Applications of Mathematical Modeling Machine Learning and Intelligent Computing for Industrial Development Book PDF

Author : Madhu Jain,Dinesh K Sharma,Rakhee Kulshrestha,H.S. Hota
Publisher : CRC Press
Page : 410 pages
File Size : 51,5 Mb
Release : 2023-06-07
Category : Technology & Engineering
ISBN : 9781000885606

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Applications of Mathematical Modeling, Machine Learning, and Intelligent Computing for Industrial Development by Madhu Jain,Dinesh K Sharma,Rakhee Kulshrestha,H.S. Hota Pdf

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: 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.

Applied Mathematics, Modeling and Computer Simulation

C.-H. Chen,A. Scapellato,A. Barbiero
Applied Mathematics Modeling and Computer Simulation Book PDF

Author : C.-H. Chen,A. Scapellato,A. Barbiero
Publisher : IOS Press
Page : 1266 pages
File Size : 43,5 Mb
Release : 2024-01-19
Category : Computers
ISBN : 9781643684598

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Applied Mathematics, Modeling and Computer Simulation by C.-H. Chen,A. Scapellato,A. Barbiero Pdf

Applied mathematics, modelling, and computer simulation are central to many aspects of engineering and computer science, and continue to be of intrinsic importance to the development of modern technologies. This book presents the proceedings of AMMCS 2023, the 3rd International Conference on Applied Mathematics, Modeling and Computer Simulation, held on 12 and 13 August 2023 in Wuhan, China. The conference provided an ideal opportunity for scholars and researchers to communicate important recent developments in their areas of specialization to their colleagues, and to scientists in related disciplines. More than 250 submissions were received for the conference, of which 133 were selected for presentation at the conference and inclusion here after a thorough peer-review process. These range from the theoretical and conceptual to strongly pragmatic papers addressing industrial best practice, and cover topics such as mathematical modeling and application; engineering applications and scientific computations; and the simulation of intelligent systems. The book explores practical experiences and enlightening ideas, and will be of interest to researchers, practitioners, and to all those working in the fields of applied mathematics, modeling and computer simulation.

Computational Statistical Methodologies and Modeling for Artificial Intelligence

Priyanka Harjule,Azizur Rahman,Basant Agarwal,Vinita Tiwari
Computational Statistical Methodologies and Modeling for Artificial Intelligence Book PDF

Author : Priyanka Harjule,Azizur Rahman,Basant Agarwal,Vinita Tiwari
Publisher : CRC Press
Page : 389 pages
File Size : 42,9 Mb
Release : 2023-03-31
Category : Computers
ISBN : 9781000831078

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Computational Statistical Methodologies and Modeling for Artificial Intelligence by Priyanka Harjule,Azizur Rahman,Basant Agarwal,Vinita Tiwari Pdf

This book covers computational statistics-based approaches for Artificial Intelligence. The aim of this book is to provide comprehensive coverage of the fundamentals through the applications of the different kinds of mathematical modelling and statistical techniques and describing their applications in different Artificial Intelligence systems. The primary users of this book will include researchers, academicians, postgraduate students, and specialists in the areas of data science, mathematical modelling, and Artificial Intelligence. It will also serve as a valuable resource for many others in the fields of electrical, computer, and optical engineering. The key features of this book are: Presents development of several real-world problem applications and experimental research in the field of computational statistics and mathematical modelling for Artificial Intelligence Examines the evolution of fundamental research into industrialized research and the transformation of applied investigation into real-time applications Examines the applications involving analytical and statistical solutions, and provides foundational and advanced concepts for beginners and industry professionals Provides a dynamic perspective to the concept of computational statistics for analysis of data and applications in intelligent systems with an objective of ensuring sustainability issues for ease of different stakeholders in various fields Integrates recent methodologies and challenges by employing mathematical modeling and statistical techniques for Artificial Intelligence

Engineering Mathematics and Artificial Intelligence

Herb Kunze,Davide La Torre,Adam Riccoboni,Manuel Ruiz Galán
Engineering Mathematics and Artificial Intelligence Book PDF

Author : Herb Kunze,Davide La Torre,Adam Riccoboni,Manuel Ruiz Galán
Publisher : CRC Press
Page : 530 pages
File Size : 48,7 Mb
Release : 2023-07-26
Category : Technology & Engineering
ISBN : 9781000907872

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Engineering Mathematics and Artificial Intelligence by Herb Kunze,Davide La Torre,Adam Riccoboni,Manuel Ruiz Galán Pdf

Explains the theory behind Machine Learning and highlights how Mathematics can be used in Artificial Intelligence Illustrates how to improve existing algorithms by using advanced mathematics and discusses how Machine Learning can support mathematical modeling Captures how to simulate data by means of artificial neural networks and offers cutting-edge Artificial Intelligence technologies Emphasizes the classification of algorithms, optimization methods, and statistical techniques Explores future integration between Machine Learning and complex mathematical techniques

Mathematical Modeling for Intelligent Systems

Mukesh Kumar Awasthi,Ravi Tomar,Maanak Gupta
Mathematical Modeling for Intelligent Systems Book PDF

Author : Mukesh Kumar Awasthi,Ravi Tomar,Maanak Gupta
Publisher : CRC Press
Page : 259 pages
File Size : 42,5 Mb
Release : 2022-07-29
Category : Computers
ISBN : 9781000618372

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Mathematical Modeling for Intelligent Systems by Mukesh Kumar Awasthi,Ravi Tomar,Maanak Gupta Pdf

Mathematical Modeling for Intelligent Systems: Theory, Methods, and Simulation aims to provide a reference for the applications of mathematical modeling using intelligent techniques in various unique industry problems in the era of Industry 4.0. Providing a thorough introduction to the field of soft-computing techniques, this book covers every major technique in artificial intelligence in a clear and practical style. It also highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. This book demonstrates concepts through simulation examples and practical experimental results. Key Features: • Offers a well-balanced mathematical analysis of modeling physical systems • Summarizes basic principles in differential geometry and convex analysis as needed • Covers a wide range of industrial and social applications and bridges the gap between core theory and costly experiments through simulations and modeling • Focuses on manifold ranging from stability of fluid flows, nanofluids, drug delivery, and security of image data to pandemic modeling, etc. This book is primarily aimed at advanced undergraduates and postgraduate students studying computer science, mathematics, and statistics. Researchers and professionals will also find this book useful.

Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making

Irfan Ali,Umar Muhammad Modibbo,Bolaji,Harish Garg
Optimization and Computing Using Intelligent Data Driven Approaches for Decision Making Book PDF

Author : Irfan Ali,Umar Muhammad Modibbo,Bolaji,Harish Garg
Publisher : Unknown
Page : 0 pages
File Size : 54,5 Mb
Release : 2024-11-20
Category : Computers
ISBN : 1032621664

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Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making by Irfan Ali,Umar Muhammad Modibbo,Bolaji,Harish Garg Pdf

This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming, and artificial intelligence techniques. It further covers important topics such as the use of machine learning and the internet of things, multi-objective optimization under Hesitant Fermatean Fuzzy and Uncertain environment. This Book: Addresses solving practical problems such as supply chain management, smart manufacturing, and healthcare analytics using intelligent computing and discusses solving the Fuzzy Inference System in Ant Colony Optimization for Travelling Salesman Problems Presents an overview of AI and Explainable AI Decision-Making XAIDM and illustrates a data-driven optimization concept for modelling environmental and economic sustainability. Discusses Machine Learning based Multi Objective Optimization Technique for Load Balancing in Integrated Fog Cloud Environment. Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals. Discusses Sustainable Transit of Hazardous Waste, Green Fractional Transportation System, Perishable Inventory, M-Estimation of Functional Regression Operator and Intuitionistic Fuzzy Sets applications. The text is primarily written for graduate students, and academic researchers in diverse fields including operations research, mathematics, statistics, computer science, information and communication technology and industrial engineering.

Advances in Mathematical and Computational Modeling of Engineering Systems

Mukesh Kumar Awasthi,Maitri Verma,Mangey Ram
Advances in Mathematical and Computational Modeling of Engineering Systems Book PDF

Author : Mukesh Kumar Awasthi,Maitri Verma,Mangey Ram
Publisher : CRC Press
Page : 361 pages
File Size : 50,8 Mb
Release : 2023-02-20
Category : Computers
ISBN : 9781000838091

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Advances in Mathematical and Computational Modeling of Engineering Systems by Mukesh Kumar Awasthi,Maitri Verma,Mangey Ram Pdf

The text covers a wide range of topics such as mathematical modeling of crop pest control management, water resources management, impact of anthropogenic activities on atmospheric carbon dioxide concentrations, impact of climate changes on melting of glaciers and polar bear populations, dynamics of slow–fast predator-prey system and spread and control of HIV epidemic. It emphasizes the use of mathematical modeling to investigate the fluid flow problems including the breaking of viscoelastic jet, instability arising in nanofiber, flow in an annulus channel, and thermal instability in nano-fluids in a comprehensive manner. This book will be a readily accessible source of information for the students, researchers and policymakers interested in the application of mathematical and computational modeling techniques to investigate various biological and engineering phenomena. Features Focuses on the current modeling and computational trends to investigate various ecological, epidemiological, and engineering systems. Presents the mathematical modeling of a wide range of ecological and environmental issues including crop pest control management, water resources management, the effect of anthropogenic activities on atmospheric carbon dioxide concentrations, and impact of climate changes on melting of glaciers and polar bear population. Covers a wide range of topics including the breaking of viscoelastic jet, instability arising in nanofiber, flow in an annulus channel, and thermal instability in nano-fluids. Examines evolutionary models i.e., models of time-varying processes. Highlights the recent developments in the analytical methods to investigate the nonlinear dynamical systems. Showcases diversified applications of computational techniques to solve practical biological and engineering problems. The book focuses on the recent research developments in the mathematical modeling and scientific computing of biological and engineering systems. It will serve as an ideal reference text for senior undergraduate, graduate students, and researchers in diverse fields including ecological engineering, environmental engineering, computer engineering, mechanical engineering, mathematics, and fluid dynamics.

Artificial Intelligence for Cognitive Modeling

Pijush Dutta,Souvik Pal,Asok Kumar,Korhan Cengiz
Artificial Intelligence for Cognitive Modeling Book PDF

Author : Pijush Dutta,Souvik Pal,Asok Kumar,Korhan Cengiz
Publisher : CRC Press
Page : 451 pages
File Size : 42,6 Mb
Release : 2023-04-19
Category : Computers
ISBN : 9781000864243

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Artificial Intelligence for Cognitive Modeling by Pijush Dutta,Souvik Pal,Asok Kumar,Korhan Cengiz Pdf

This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model. Features: A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB) A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS) Formulation of the nonlinear model like analysis of ANOVA and response surface methodology Variety of solved problems on ANOVA and RSM Case studies of above mentioned intelligent techniques on the different process control systems This book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area.

Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things

Arpit Jain,Abhinav Sharma,Vibhu Jately,Brian Azzopardi
Sustainable Energy Solutions with Artificial Intelligence Blockchain Technology and Internet of Things Book PDF

Author : Arpit Jain,Abhinav Sharma,Vibhu Jately,Brian Azzopardi
Publisher : CRC Press
Page : 201 pages
File Size : 54,9 Mb
Release : 2023-09-15
Category : Computers
ISBN : 9781000933994

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Sustainable Energy Solutions with Artificial Intelligence, Blockchain Technology, and Internet of Things by Arpit Jain,Abhinav Sharma,Vibhu Jately,Brian Azzopardi Pdf

The text provides sustainable energy solutions using smart technologies such as artificial intelligence, blockchain technology, and the Internet of Things. It further presents several case studies on applications of the Internet of Things, artificial intelligence, and blockchain technology in the field of sustainable energy. Focuses on the integration of smart technology including artificial intelligence and sustainable energy Covers recent advancements in energy management techniques used in residential and commercial energy systems Highlights the use of artificial intelligence, machine learning, and their applications in sustainable energy Discusses important topics such as green energy, grid modernization, smart security in the power grid, and fault diagnosis Presents case studies on the applications of the Internet of Things, blockchain, and artificial intelligence in sustainable energy The text showcases the latest advancements, and the importance of technologies including artificial intelligence, blockchain, and Internet of Things in achieving sustainable energy systems. It further discusses the role of machine learning, applied deep learning, and edge computing in renewable energy. The text cover key concepts such as intelligent battery management system, energy trading, green energy, grid modernization, electric vehicles, and charging station optimization. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields including electrical engineering, electronics and communication engineering, computer engineering, and environmental engineering.

Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making

Irfan Ali,Umar Muhammad Modibbo,Bolaji,Harish Garg
Optimization and Computing Using Intelligent Data Driven Approaches for Decision Making Book PDF

Author : Irfan Ali,Umar Muhammad Modibbo,Bolaji,Harish Garg
Publisher : Unknown
Page : 0 pages
File Size : 55,8 Mb
Release : 2024-11-20
Category : Computers
ISBN : 1032781114

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Optimization and Computing Using Intelligent Data-Driven Approaches for Decision-Making by Irfan Ali,Umar Muhammad Modibbo,Bolaji,Harish Garg Pdf

This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming and artificial intelligence techniques. It will further cover important topic such as linking green supply chain management practices with competitiveness, industry 4.0 and social responsibility. This book: Addresses solving practical problems such as supply chain management, take-off, and healthcare analytics using intelligent computing. Presents a comparative analysis of machine learning algorithms for the power consumption prediction. Discusses machine learning-based multi-objective optimization technique for load balancing in an integrated fog cloud environment. Illustrates a data-driven optimization concept for modeling environmental and economic sustainability. Explains the use of heuristics and metaheuristics in supply chain networks and the use of fuzzy optimization in sustainable development goals. The text is primarily written for graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, mathematics and statistics, computer science and engineering.

Foundations of Mathematical Modelling for Engineering Problem Solving

Parikshit Narendra Mahalle,Nancy Ambritta P.,Sachin R. Sakhare,Atul P. Kulkarni
Foundations of Mathematical Modelling for Engineering Problem Solving Book PDF

Author : Parikshit Narendra Mahalle,Nancy Ambritta P.,Sachin R. Sakhare,Atul P. Kulkarni
Publisher : Springer Nature
Page : 177 pages
File Size : 51,8 Mb
Release : 2023-01-10
Category : Technology & Engineering
ISBN : 9789811988288

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Foundations of Mathematical Modelling for Engineering Problem Solving by Parikshit Narendra Mahalle,Nancy Ambritta P.,Sachin R. Sakhare,Atul P. Kulkarni Pdf

This book aims at improving the mathematical modelling skills of users by enhancing the ability to understand, connect, apply and use the mathematical concepts to the problem at hand. This book provides the readers with an in-depth knowledge of the various categories/classes of research problems that professionals, researchers and students might encounter following which the applications of appropriate mathematical models is explained with the help of case studies. The book is targeted at academicians, researchers, students and professionals who belong to all engineering disciplines.

Neural Networks, Machine Learning, and Image Processing

Manoj Sahni,Ritu Sahni,Jose M Merigo
Neural Networks Machine Learning and Image Processing Book PDF

Author : Manoj Sahni,Ritu Sahni,Jose M Merigo
Publisher : CRC Press
Page : 0 pages
File Size : 40,7 Mb
Release : 2022-12-15
Category : Image processing
ISBN : 1032300140

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Neural Networks, Machine Learning, and Image Processing by Manoj Sahni,Ritu Sahni,Jose M Merigo Pdf

The text comprehensively discusses the latest mathematical modelling techniques and their applications in various areas such as fuzzy modelling, signal processing, neural network, machine learning, image processing, and their numerical analysis. It further covers image processing techniques like Viola-Jones Method for face detection and fuzzy approach for person video emotion. It will serve as an ideal reference text for graduate students and academic researchers in the fields of mechanical engineering, electronics, communication engineering, computer engineering, and mathematics. This book: Discusses applications of neural networks, machine learning, image processing, and mathematical modeling. Provides simulations techniques in machine learning and image processing-based problems. Highlights artificial intelligence and machine learning techniques in the detection of diseases. Introduces mathematical modeling techniques such as wavelet transform, modeling using differential equations, and numerical techniques for multi-dimensional data. Includes real-life problems for better understanding. The book presents mathematical modeling techniques such as wavelet transform, differential equations, and numerical techniques for multi-dimensional data. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields such as mechanical, electronics and communication and computer.

Intelligent Systems Modeling and Simulation II

Samsul Ariffin Abdul Karim
Intelligent Systems Modeling and Simulation II Book PDF

Author : Samsul Ariffin Abdul Karim
Publisher : Springer Nature
Page : 688 pages
File Size : 41,6 Mb
Release : 2022-10-12
Category : Technology & Engineering
ISBN : 9783031040283

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Intelligent Systems Modeling and Simulation II by Samsul Ariffin Abdul Karim Pdf

This book develops a new system of modeling and simulations based on intelligence system. As we are directly moving from Third Industrial Revolution (IR3.0) to Fourth Industrial Revolution (IR4.0), there are many emergence techniques and algorithm that appear in many sciences and engineering branches. Nowadays, most industries are using IR4.0 in their product development as well as to refine their products. These include simulation on oil rig drilling, big data analytics on consumer analytics, fastest algorithm for large-scale numerical simulations and many more. These will save millions of dollar in the operating costs. Without any doubt, mathematics, statistics and computing are well blended to form an intelligent system for simulation and modeling. Motivated by this rapid development, in this book, a total of 41 chapters are contributed by the respective experts. The main scope of the book is to develop a new system of modeling and simulations based on machine learning, neural networks, efficient numerical algorithm and statistical methods. This book is highly suitable for postgraduate students, researchers as well as scientists that have interest in intelligent numerical modeling and simulations.

Machine Learning Methods for Engineering Application Development

Prasad Lokulwar,Basant Verma,N. Thillaiarasu
Machine Learning Methods for Engineering Application Development Book PDF

Author : Prasad Lokulwar,Basant Verma,N. Thillaiarasu
Publisher : Bentham Science Publishers
Page : 240 pages
File Size : 48,6 Mb
Release : 2022-11-11
Category : Computers
ISBN : 9789815079197

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Machine Learning Methods for Engineering Application Development by Prasad Lokulwar,Basant Verma,N. Thillaiarasu Pdf

This book is a quick review of machine learning methods for engineeringapplications. It provides an introduction to the principles of machine learningand common algorithms in the first section. Proceeding chapters summarize andanalyze the existing scholarly work and discuss some general issues in this field.Next, it offers some guidelines on applying machine learning methods to softwareengineering tasks. Finally, it gives an outlook into some of the futuredevelopments and possibly new research areas of machine learning and artificialintelligence in general.Techniques highlighted in the book include: Bayesian models, supportvector machines, decision tree induction, regression analysis, and recurrent andconvolutional neural network. Finally, it also intends to be a reference book. Key Features:Describes real-world problems that can be solved using machine learningExplains methods for directly applying machine learning techniques to concrete real-world problemsExplains concepts used in Industry 4.0 platforms, including the use and integration of AI, ML, Big Data, NLP, and the Internet of Things (IoT). It does not require prior knowledge of the machine learning This book is meantto be an introduction to artificial intelligence (AI), machine earning, and itsapplications in Industry 4.0. It explains the basic mathematical principlesbut is intended to be understandable for readers who do not have a backgroundin advanced mathematics.

From Curve Fitting to Machine Learning

Achim Zielesny
From Curve Fitting to Machine Learning Book PDF

Author : Achim Zielesny
Publisher : Springer Science & Business Media
Page : 465 pages
File Size : 53,9 Mb
Release : 2011-07-28
Category : Technology & Engineering
ISBN : 9783642212802

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From Curve Fitting to Machine Learning by Achim Zielesny Pdf

The analysis of experimental data is at heart of science from its beginnings. But it was the advent of digital computers that allowed the execution of highly non-linear and increasingly complex data analysis procedures - methods that were completely unfeasible before. Non-linear curve fitting, clustering and machine learning belong to these modern techniques which are a further step towards computational intelligence. The goal of this book is to provide an interactive and illustrative guide to these topics. It concentrates on the road from two dimensional curve fitting to multidimensional clustering and machine learning with neural networks or support vector machines. Along the way topics like mathematical optimization or evolutionary algorithms are touched. All concepts and ideas are outlined in a clear cut manner with graphically depicted plausibility arguments and a little elementary mathematics. The major topics are extensively outlined with exploratory examples and applications. The primary goal is to be as illustrative as possible without hiding problems and pitfalls but to address them. The character of an illustrative cookbook is complemented with specific sections that address more fundamental questions like the relation between machine learning and human intelligence. These sections may be skipped without affecting the main road but they will open up possibly interesting insights beyond the mere data massage. All topics are completely demonstrated with the aid of the commercial computing platform Mathematica and the Computational Intelligence Packages (CIP), a high-level function library developed with Mathematica's programming language on top of Mathematica's algorithms. CIP is open-source so the detailed code of every method is freely accessible. All examples and applications shown throughout the book may be used and customized by the reader without any restrictions. The target readerships are students of (computer) science and engineering as well as scientific practitioners in industry and academia who deserve an illustrative introduction to these topics. Readers with programming skills may easily port and customize the provided code.