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Diagnostics and Prognostics of Engineering Systems: Methods and Techniques
Industrial Prognostics predicts an industrial systems lifespan using probability measurements to determine the way a machine operates. Prognostics are essential in determining being able to predict and stop failures before they occur. Therefore the development of dependable prognostic procedures for engineering systems is important to increase the systems performance and reliability. Diagnostics and Prognostics of Engineering Systems: Methods and Techniques provides widespread coverage and discussions on the methods and techniques of diagnosis and prognosis systems. Including practical examples to display the methods effectiveness in real-world applications as well as the latest trends and research, this reference source aims to introduce fundamental theory and practice for system diagnosis and prognosis.
Mathematical Formulas for Industrial and Mechanical Engineering
Mathematical Formulas For Industrial and Mechanical Engineering serves the needs of students and teachers as well as professional workers in engineering who use mathematics. The contents and size make it especially convenient and portable. The widespread availability and low price of scientific calculators have greatly reduced the need for many numerical tables that make most handbooks bulky. However, most calculators do not give integrals, derivatives, series and other mathematical formulas and figures that are often needed. Accordingly, this book contains that information in an easy way to access in addition to illustrative examples that make formulas clearer. Students and professionals alike will find this book a valuable supplement to standard textbooks, a source for review, and a handy reference for many years. Covers mathematics formulas needed for Industrial and Mechanical Engineering Quick and easy to use reference and study Includes practical examples and figures to help quickly understand concepts
Basic Mathematics for Engineering
This is a textbook for Basic Mathematics course for science and engineering students. The book chapters include summary of the concepts then unsolved problemsd follow by homework and real-world project.
Python for Graph and Network Analysis
This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego, group, and community. They will be able to analyse militant and revolutionary networks and candidate networks during elections. For instance, they will learn how the Ebola virus spread through communities. Practically, the book is suitable for courses on social network analysis in all disciplines that use social methodology. In the study of social networks, s...
Stochastic Methods for Estimation and Problem Solving in Engineering
Utilizing mathematical algorithms is an important aspect of recreating real-world problems in order to make important decisions. By generating a randomized algorithm that produces statistical patterns, it becomes easier to find solutions to countless situations. Stochastic Methods for Estimation and Problem Solving in Engineering provides emerging research on the role of random probability systems in mathematical models used in various fields of research. While highlighting topics, such as random probability distribution, linear systems, and transport profiling, this book explores the use and behavior of uncertain probability methods in business and science. This book is an important resource for engineers, researchers, students, professionals, and practitioners seeking current research on the challenges and opportunities of non-deterministic probability models.
Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques
In the realm of Islamic finance, a pivotal challenge looms—the escalating complexity of investment decisions, macroeconomic analyses, and credit evaluations. In response, we present a groundbreaking solution that resonates with the rapidly evolving fintech era. Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques offers a compelling repository of knowledge, meticulously curated by renowned editors Mohammad Irfan, Seifedine Kadry, Muhammad Sharif, and Habib Ullah Khan. Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques is a call to action, an exploration of innovation, and a guide for both academia and industry. In an era where AI, ML, and blockchain reshape finance, this book stands as a beacon of knowledge, ushering Islamic finance into a realm of unprecedented efficiency and insight. As we invite readers to embark on this transformative journey, we illuminate the path to a future where technology and tradition converge harmoniously.
Mathematiques Par Les Problemes Au Brevet
Seifedine Kadry is an associate professor of applied mathematics in the American University of the Middle East, Kuwait. He received his master's degree in modeling and intensive computing (2001) from the Lebanese University, EPFL-INRIA. He did his doctoral research (2003-2007) in applied mathematics from Blaise Pascal University / Clermont-Ferrand II, France. He worked as head of software support and analysis unit of First National Bank, where he designed and implemented the data warehouse and business intelligence. He has published one book and more than fifty papers on applied math, computer science, and stochastic systems in peer-reviewed journals
Innovations in E-Systems for Business and Commerce
Innovations in E-Systems for Business and Commerce presents some of the latest research and direction in the field of e-business and e-commerce. With up-to-date information for top researchers from around the world, the volume covers a wide selection of topics on innovations in e-business and e-commerce. E-systems are becoming standard practice across all sectors, including healthcare, engineering, business, education, security, and citizen interaction with local and national government. The use of Internet technologies facilitates rapid and easy dissemination of information and data as well as increased convenience and efficiency to assist service providers and end-users. This book is aimed at three groups of people: undergraduate students and postgraduate students conducting research in the areas of e-systems related to e-business or e-commerce; researchers at universities and other institutions working in these fields; and practitioners in the research and development departments of industrial settings. The volume can also be used as an advanced reference for classroom use.
Numerical Methods for Reliability and Safety Assessment
This book offers unique insight on structural safety and reliability by combining computational methods that address multiphysics problems, involving multiple equations describing different physical phenomena and multiscale problems, involving discrete sub-problems that together describe important aspects of a system at multiple scales. The book examines a range of engineering domains and problems using dynamic analysis, nonlinear methods, error estimation, finite element analysis and other computational techniques. This book also: · Introduces novel numerical methods · Illustrates new practical applications · Examines recent engineering applications · Presents up-to-date theoretical results · Offers perspective relevant to a wide audience, including teaching faculty/graduate students, researchers and practicing engineers.
Mathematics for Engineers and Science Labs Using Maxima
This book is designed to be a vital companion to math textbooks covering the topics of precalculus, calculus, linear algebra, differential equations, and probability and statistics. While these existing textbooks focus mainly on solving mathematic problems using the old paper-and-pencil method, this book teaches how to solve these problems using Maxima open-source software. Maxima is a system for the manipulation of symbolic and numerical expressions, including differentiation, integration, Taylor series, Laplace transforms, ordinary differential equations, systems of linear equations, polynomials, sets, lists, vectors, and matrices. One of the benefits of using Maxima to solve mathematics problems is the immediacy with which it produces answers. Investing in learning Maxima now will pay off in the future, particularly for students and beginning professionals in mathematics, science, and engineering. The volume will help readers to apply nearly all of the Maxima skills discussed here to future courses and research.
