Bøger i Computing serien

The book provides greater knowledge and understanding about various complex problems arising in different domains of the engineering field and their corresponding solutions based on numerical decision-making. Use of Computational Intelligence in problem investigation and solving involves developing mathematical models, formulating scientific equations by establishing a relationship between two variables involved in a problem, scientific notations and extensive application of factual data to determine the influence of inputs over a process and calculating the values of responses through the conduction of corresponding experimental procedures. Optimization plays a crucial role in identifying the best possible course of action from a given set of alternatives, which are less time-consuming, cost-effective and manpower efficient when complex manufacturing processes are taken into consideration. This multi-disciplinary book covers ten chapters that investigate the properties, performances, troubleshooting, evaluation of processes and fabrication of products, irrespective of domain or discipline. The chapters provide solutions for the different industrial operations and also play a significant role in throwing light on recent innovations in designing data-based solutions. This book also identifies the necessity for newer tools and techniques from a multi-disciplinary approach covering all spheres of methodologies to address the issues above referred. Thus, the ultimate aim of this book is to im- part responsibility for the readers through a slew of eco-friendly and environmentally conscious solutions, which is evident in most of the chapters.For more details, please visit https://centralwestpublishing.com

In the present era, many methods for modeling and qualitative analysis of various kinds of mathematical and wireless systems are available. These analyzing methods show how to use predictive computational models to acquire and analyze knowledge about these systems. The book covers real-life examples of continuous computational scenarios. This book aims to capture new developments in the mathematical modeling of systems, as well as the performance computation of wireless networks. For more details, please visit https://centralwestpublishing.com

In this modern era, communication and computation have become an integral part of each other to provide services to the common man that helps people located in any part of the world can communicate easily. The book provides future research directions and innovations in wireless communication, antenna design and computation technologies and explores the different applications of its associated technologies. In contents, the chapters on wireless communication protocols, fractal antenna designs, online learning technologies as well as technologies for post-disaster victim localization are included in the contents. The book also provides a chapter related to advanced mathematical modelling and research for disease analysis. Finally, it covers the chapter on the computation of socio-economic and demographic factors of financial literacy.For more details, please visit https://centralwestpublishing.com

A Laboratory Manual on "Virtual Experimentation on Electrical AC Machines and Circuit Networks using MATLAB/Simulink and MULTISIM" has been written to quickly grip the understanding of Electrical AC machines, particularly induction and synchronous motor, and Circuit Networks from an experimental operation point of view on the virtual platform. This book deals with all the experiments related to important topics of electrical machines and networks which are on practically performed by students in a majority of technical institutions. The theoretical background of every experiment is reviewed before the system simulation. Detailed step-by-step experimental procedures are explained with the necessary diagram. Development of experimental setup by using MATLAB/Simulink and MULTISIM has been explained from scratch, which also enhances the simulation and analytical skills for various practical systems. Every step of the simulation is explained during the development of the system using Simulink and MULTISIM which can be further extended to investigate and analyze for Academics, Industrial, and Research & Development purposes. This book can be used as a reference to simulate and analyze the virtually developed system using AC machines and circuit networks by students and working professionals.

This book has unfolded the reasons of the successful adoption of deep learning-based convolutional neural networks over machine learning- based artificial neural networks. The book has provided sufficient knowledge of the topics like Pandas and Numpy in Python programing language before switching to the core implementation of any Artificial Intelligence (AI) based algorithm. Thereafter, the theoretical concept of Artificial Neural Networks (ANN) and Convolutional Neural Networks (CNN) is discussed with step-by-step implementation in Python programing language. All the layers of the CNN model have been discussed in detail. Separate chapters are dedicated to the process of convolution, activation function, and pooling representing the theoretical concepts with practical implementation.This book is written for anyone interested in acquiring theoretical and practical knowledge of Artificial Intelligence. Students pursuing graduation and post-graduation in engineering in computer science can follow this book. In addition, this book will be very useful for candidates who are interested in the Artificial Intelligence-related research.For more details, please visit https://centralwestpublihing.com

The book is designed for use in a graduate program in Numerical Analysis that includes a basic introductory course and subsequent more specialized courses. The latter is envisaged to cover numerical linear algebra, the numerical solution of ordinary and partial differential equations, and perhaps additional topics related to complex analysis, multidimensional analysis, in particular optimization, and functional analysis and related functional equations.Viewed in this context, the first four chapters of our book could serve as a text for the basic introductory course on the Python program, andthe remaining chapters could provide a text for an advanced course on the numerical solution of ordinary differential equations. Therefore, the book breaks with tradition in that it no longer attempts to deal with all major topics of numerical mathematics. Those dealing with linear algebra and partial differential equations have developed into major fields of study that have attained a degree of autonomy and identity that justifies their treatment in separate books and separate courses on the graduate level. The term "Numerical Analysis" as used in this book, therefore, is to be taken in the narrow sense of the numerical analog of Mathematical Analysis, comprising such topics as machine arithmetic, the approximation of functions, approximate differentiation and integration, and the approximate solution of nonlinear equations and ordinary differential equations.This book aims to provide a good understanding of Numerical engineering analysis and its applications and optimization. The book begins with studying the concept of Python fundamentals for scientific computing. It then presents their applications in the different configurations shown in lucid detail.For more details, please visit https://centralwestpublishing.com