Название: Cybernetics in C++
Автор: Avi Bhattacharyya
Издательство: River Publishers
Год: 2018
Страниц: 664
Язык: английский
Формат: pdf (true)
Размер: 18.3 MB

C++ is a powerful, much sought after programming language, but can be daunting to work with, even for engineering professionals. Why is this book so useful? Have you ever wondered:- How do keywords like static and virtual change their meanings according to context?- What are the similarities and differences between Pointers and References, Pointers and Arrays, Constructors and Copy Constructors, Nested and Local Inner Classes? Cybernetics in C++ combines a theoretical overview and practical approach in one book, which should prove to be a useful reference for computer scientists, software programmers, engineers and students in this and related field.

Название: Computational Intelligence-based Time Series Analysis
Автор: Dinesh C. S. Bisht, Mangey Ram
Издательство: River Publishers, Routledge
Год: 2022
Страниц: 191
Язык: английский
Формат: pdf (true)
Размер: 15.6 MB

The sequential analysis of data and information gathered from past to present is called time series analysis. Time series data are of high dimension, large size and updated continuously. A time series depends on various factors like trend, seasonality, cycle and irregular data set, and is basically a series of data points well-organized in time. Time series forecasting is a significant area of Machine Learning {ML). There are various prediction problems that are time-dependent and these problems can be handled through time series analysis. Computational intelligence (CI) is a developing computing approach for the forthcoming several years. CI gives the litheness to model the problem according to given requirements. It helps to find swift solutions to the problems arising in numerous disciplines. These methods mimic human behavior. The main objective of CI is to develop intelligent machines to provide solutions to real world problems, which are not modelled or are too difficult to model mathematically. The present study is a real-time application of Artificial Neural Networks (ANNs) to estimate, predict and forecast the suspended sediment transport in streams and river systems using time series data.

Название: Solid Geometry with MATLAB Programming
Автор: Nita H. Shah, Falguni S. Acharya
Издательство: River Publishers
Год: 2022
Страниц: 242
Язык: английский
Формат: pdf (true)
Размер: 14.1 MB

Solid geometry is defined as the study of the geometry of three-dimensional solid figures in Euclidean space. There are numerous techniques in solid geometry, mainly analytic geometry and methods using vectors, since they use linear equations and matrix algebra. Solid geometry is quite useful in everyday life, for example, to design different signs and symbols such as octagon shape stop signs, to indicate traffic rules, to design different 3D objects like cubicles in gaming zones, innovative lifts, creative 3D interiors, and to design 3D computer graphics. Studying solid geometry helps students to improve visualization and increase logical thinking and creativity since it is applicable everywhere in day-to-day life. It builds up a foundation for advanced levels of mathematical studies. Numerous competitive exams include solid geometry since its foundation is required to study other branches like civil engineering, mechanical engineering, computer science engineering, architecture, etc.

Название: Patterns for API Design: Simplifying Integration with Loosely Coupled Message Exchanges (Rough Cuts)
Автор: Olaf Zimmermann, Mirko Stocker, Daniel Lubke
Издательство:
Год: 2022
Страниц: 718
Язык: английский
Формат: epub
Размер: 11.5 MB

Proven Patterns for Designing Evolvable High-Quality APIs–For Any Domain, Technology, or Platform. APIs enable breakthrough innovation and digital transformation in organizations and ecosystems of all kinds. To create user-friendly, reliable and well-performing APIs, architects, designers, and developers need expert design guidance. This practical guide cuts through the complexity of API conversations and their message contents, introducing comprehensive guidelines and heuristics for designing APIs sustainably and specifying them clearly, for whatever technologies or platforms you use. Authors crystallize the collective knowledge of many practitioners into 44 API design patterns, consistently explained with context, pros and cons, conceptual solutions, and concrete examples. To make their pattern language accessible, they present a domain model, a running case study, decision narratives with pattern selection options and criteria, and walkthroughs of real-world projects applying the patterns in two different industries.

Название: Multi-Criteria Decision Models in Software Reliability: Methods and Applications
Автор: Ashish Mishra, Nguyen Thi Dieu Linh, Manish Bhardwaj
Издательство: CRC Press
Год: 2023
Страниц: 321
Язык: английский
Формат: pdf (true)
Размер: 23.2 MB

In the present era, software reliability plays a vital role in solving different kinds of problems and providing promising solutions in digital world. Because of the increase in digitalisation in today’s lifestyle and each and every service to make the life easier, good software interfaces are required. Due to the increase in the usability and dependency on software, one important feature matters a lot, that is software reliability. The success of incorporation of the heavy software in the system works only with reliability feature. Such reliability depends upon different criteria and the deployed environment. It does not always relate to one or two factors, but it depends upon various factors such as physical or virtual. The Chapter 2 focuses on the examination of relevant literature and provides a conceptual framework that explains the role of Machine Learning (ML) and profound learning in the development of intelligent (artifcial) beings. The Chapter 3 reviews the various classifcations used to predict software defects using software measurements in the literature. In this chapter, a detailed analysis of application of data mining and Machine Learning approaches used for software quality, defect and quality analysis is presented.

Название: ANOVA and Mixed Models: A Short Introduction Using R
Автор: Lukas Meier
Издательство: CRC Press
Серия: The R Series
Год: 2023
Страниц: 202
Язык: английский
Формат: pdf (true)
Размер: 11.4 MB

ANOVA and Mixed Models: A Short Introduction Using R provides both the practitioner and researcher a compact introduction to the analysis of data from the most popular experimental designs. Based on knowledge from an introductory course on probability and statistics, the theoretical foundations of the most important models are introduced. The focus is on an intuitive understanding of the theory, common pitfalls in practice, and the application of the methods in R. From data visualization and model fitting, up to the interpretation of the corresponding output, the whole workflow is presented using R. The book does not only cover standard ANOVA models, but also models for more advanced designs and mixed models, which are common in many practical applications.

Название: Nonparametric Statistics with Applications to Science and Engineering with R, 2nd Edition
Автор: Paul Kvam, Brani Vidakovic, Seong-joon Kim
Издательство: Wiley
Год: 2023
Страниц: 451
Язык: английский
Формат: pdf (true)
Размер: 11.0 MB

Introduction to the methods and techniques of traditional and modern nonparametric statistics, incorporating R code. Nonparametric Statistics with Applications to Science and Engineering presents modern nonparametric statistics from a practical point of view, with the newly revised edition including custom R functions implementing nonparametric methods to explain how to compute them and make them more comprehensible. Relevant built-in functions and packages on CRAN are also provided with a sample code. R codes in the new edition not only enable readers to perform nonparametric analysis easily, but also to visualize and explore data using R's powerful graphic systems, such as ggplot2 package and R base graphic system.

Название: Functional Programming with C#: Create More Supportable, Robust, and Testable Code (Fourth Early Release)
Автор: Simon J. Painter
Издательство: O’Reilly Media, Inc.
Год: 2022-10-07
Страниц: 121
Язык: английский
Формат: epub (true), mobi
Размер: 10.1 MB

After decades of relative obscurity, functional programming is finally coming into its own. With concise, easy-to-read code that supports asynchronous, concurrent processing, aspects of functional programming have begun to appear in several traditionally object-oriented languages such as C# and Java. This practical book shows C# programmers how to use functional programming features without having to navigate an entirely new language. Because of the shared runtime environment common to C# and F# languages, it's possible to use most of F#'s functional features in C# as well. Author Simon J. Painter explains how you can write functional code in C# right away, without having to install dependencies or features newer than .NET 3. You'll learn why functional programming concepts can bring immediate benefit to your work.

Название: Scaling Python with Ray: Adventures in Cloud and Serverless Patterns (Sixth Early Release)
Автор: Holden Karau, Boris Lublinsky
Издательство: O’Reilly Media, Inc.
Год: 2022-10-07
Страниц: 250
Язык: английский
Формат: epub (true), mobi
Размер: 10.2 MB

Serverless computing enables developers to concentrate solely on their applications rather than worry about where they've been deployed. With the Ray general-purpose serverless implementation in Python, programmers and data scientists can hide servers, implement stateful applications, support direct communication between tasks, and access hardware accelerators. We wrote this book for developers and data scientists looking to build and scale applications in Python without becoming systems administrators. We expect this book to be most beneficial for individuals and teams dealing with the growing complexity and scale of problems moving from single-threaded solutions to multi-threaded, all the way to distributed computing. While you can use Ray from Java, this book is in Python, and we assume a general familiarity with the Python ecosystem.

Название: Blockchain Tethered AI: How to Tether Artificial Intelligence with Smart Contracts and Tamper-Evident Ledgers (Second Early Release)
Автор: Karen Kilroy, Deepak Bhatta, Lynn Riley
Издательство: O’Reilly Media, Inc.
Год: 2022-10-07
Страниц: 166
Язык: английский
Формат: epub (true)
Размер: 26.2 MB

Remove your doubts about AI and explore how this technology can be future-proofed using blockchain's smart contracts and tamper-evident ledgers. With this practical book, system architects, software engineers, and systems solution specialists will learn how enterprise blockchain provides permanent provenance of AI, removes the mystery, and allows you to validate AI before it's ever used. This book is intended for software architects and developers who want to write AI that can be kept under control. It assumes that the reader already has an understanding of AI systems and is aware of the concerns that arise from the release of these systems. It is also assumed that the reader is somewhat familiar with blockchain and how it works. In order to complete the exercises, the reader should first become familiar with NodeJS, Hyperledger Fabric, and TensorFlow, PyTorch, or another popular AI library, and be able to set up an appropriate development environment in which to perform the exercises.