Название: Cognitive Systems and Signal Processing in Image Processing
Автор: Yu-Dong Zhang, Arun Kumar Sangaiah
Издательство: Academic Press/Elsevier
Год: 2022
Страниц: 378
Язык: английский
Формат: pdf (true)
Размер: 16.3 MB

Cognitive Systems and Signal Processing in Image Processing presents different frameworks and applications of cognitive signal processing methods in image processing. This book provides an overview of recent applications in image processing by cognitive signal processing methods in the context of Big Data and Cognitive AI. It presents the amalgamation of cognitive systems and signal processing in the context of image processing approaches in solving various real-word application domains. This book reports the latest progress in cognitive big data and sustainable computing. Various real-time case studies and implemented works are discussed for better understanding and more clarity to readers. The combined model of cognitive data intelligence with learning methods can be used to analyze emerging patterns, spot business opportunities, and take care of critical process-centric issues for computer vision in real-time.

Название: Machine Learning for Biometrics: Concepts, Algorithms and Applications
Автор: Partha Pratim Sarangi, Madhumita Panda, Subhashree Mishra
Издательство: Academic Press/Elsevier
Год: 2022
Страниц: 240
Язык: английский
Формат: pdf (true)
Размер: 17.8 MB

Machine Learning for Biometrics: Concepts, Algorithms and Applications highlights the fundamental concepts of machine learning, processing and analyzing data from biometrics and provides a review of intelligent and cognitive learning tools which can be adopted in this direction. Each chapter of the volume is supported by real-life case studies, illustrative examples and video demonstrations. The book elucidates various biometric concepts, algorithms and applications with machine intelligence solutions, providing guidance on best practices for new technologies such as e-health solutions, Data science, Cloud computing, and Internet of Things, etc. In each section, different machine learning concepts and algorithms are used, such as different object detection techniques, image enhancement techniques, both global and local feature extraction techniques, and classifiers those are commonly used data science techniques. These biometrics techniques can be used as tools in Cloud computing, Mobile computing, IOT based applications, and e-health care systems for secure login, device access control, personal recognition and surveillance.

Название: Computational Methods Using MATLAB: An introduction for physicists
Автор: P K Thiruvikraman
Издательство: IOP Publishing
Год: 2022
Страниц: 258
Язык: английский
Формат: pdf (true)
Размер: 33.0 MB

This book provides an introduction to the computational methods commonly employed by physicists and engineers. The book discusses the details of the numerical algorithms involved and also provides MATLAB code for their implementation. Applications of numerical methods to various physical systems including nonlinear systems and fractals are also discussed. Each chapter has a number of solved examples and end of chapter exercises. Solutions to most of the exercises have also been included. The book is suitable for undergraduates in physics or engineering. The methods discussed and some of the examples will also be useful for other scientists and engineers who wish to learn the basics of computational/ numerical methods for solving problems.

Название: Computational Intelligence Based Solutions for Vision Systems
Автор: Varun Bajaj, Irshad Ahmad Ansari
Издательство: IOP Publishing
Год: 2022
Страниц: 246
Язык: английский
Формат: pdf (true)
Размер: 28.5 MB

Computer vision and image processing-based systems and their applications are already an integral part of modern living and are expected to increase in prevalence and complexity. Vision system provides the ability to handle and examine the large data generated by cameras and make a decision based on the situational requirement. As computational intelligent methods are especially adept at rapidly resolving inexact situations or where there is incomplete knowledge, they are being heavily researched and employed in this space. This merger creates intelligent vision systems, which can be extremely versatile, and this book focusses on the latest developments and current key research areas in the field.

Название: Graphical Programming Using LabVIEW: Fundamentals and advanced techniques
Автор: Julio Cesar Rodríguez-Quinonez, Oscar Real-Moreno
Издательство: The Institution of Engineering and Technology
Год: 2022
Страниц: 344
Язык: английский
Формат: pdf (true)
Размер: 62.7 MB

LabVIEW is a graphical programming language widely used in the industry for data acquisition, signal measurement, and automation tasks. Within the graphical programming languages, it is one of the best known and most complete for its number of functions and the hardware with which it can be connected. The most significant advantage of LabVIEW is the speed with which programming solutions can be implemented once the development environment and programming logic are mastered. However, for programmers with experience in text programming languages, moving to a graphical programming language can bring some challenges such as mastery of data flow (the execution order of instructions) and concurrent programming. This book is intended to cover the learning of LabVIEW from the basics to the implementation of sophisticated software solutions. This book starts with an explanation of the development environment, how to create simple programs using elementary functions (arithmetic and Boolean), and how to use debugging tools. New programmers need to read the first two chapters in detail, since the fundamentals are explained here.

Название: What Every Engineer Should Know about Software Engineering, 2nd Edition
Автор: Phillip A. Laplante, Mohamad Kassab
Издательство: CRC Press
Год: 2023
Страниц: 395
Язык: английский
Формат: pdf (true)
Размер: 44.8 MB

This book offers a practical approach to understanding, designing, and building sound software based on solid principles. Using a unique Q&A format, this book addresses the issues that engineers need to understand in order to successfully work with software engineers, develop specifications for quality software, and learn the basics of the most common programming languages, development approaches, and paradigms. The new edition is thoroughly updated to improve the pedagogical flow and emphasize new software engineering processes, practices, and tools that have emerged in every software engineering area.

Название: Object Detection with Deep Learning Models Principles and Applications
Автор: S. Poonkuntran, Rajesh K. Dhanraj, Balamurugan Balusamy
Издательство: CRC Press
Год: 2023
Страниц: 276
Язык: английский
Формат: pdf (true)
Размер: 35.5 MB

Object Detection with Deep Learning Models discusses recent advances in object detection and recognition using deep learning methods, which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision, illustrating them using key topics, including object detection, face analysis, 3D object recognition, and image retrieval.

Название: Survival Analysis
Автор: Prabhanjan Narayanachar Tattar, H.J. Vaman
Издательство: CRC Press
Год: 2023
Страниц: 373
Язык: английский
Формат: epub
Размер: 17,3 MB

Survival analysis generally deals with analysis of data arising from clinical trials. Censoring, truncation, and missing data create analytical challenges and the statistical methods and inference require novel and different approaches for analysis. Statistical properties, essentially asymptotic ones, of the estimators and tests are aptly handled in the counting process framework which is drawn from the larger arm of stochastic calculus. With explosion of data generation during the past two decades, survival data has also enlarged assuming a gigantic size. Most statistical methods developed before the millennium were based on a linear approach even in the face of complex nature of survival data. Nonparametric nonlinear methods are best envisaged in the Machine Learning school. This book attempts to cover all these aspects in a concise way. Survival Analysis offers an integrated blend of statistical methods and Machine Learning (ML) useful in analysis of survival data. The purpose of the offering is to give an exposure to the Machine Learning trends for lifetime data analysis.

Название: Job Ready Go
Автор: Haythem Balti
Издательство: Wiley
Год: 2022
Страниц: 705
Язык: английский
Формат: pdf (true), epub
Размер: 10.4 MB, 14.9 MB

Tackle GoLang with practical and employment-focused instruction. In Job Ready Go, software education guru Dr. Haythem Balti delivers an essential and hands-on guide to Go, an open-source programming language developed by Google engineers to combine the most sought-after capabilities of other programming languages, including Java, C#, and C++. In the book, the author walks you through all the most critical skills necessary for successful, on-the-job Go programming.

Название: The R Book, 3rd Edition
Автор: Elinor Jones, Simon Harden, Michael J. Crawley
Издательство: Wiley
Год: 2023
Страниц: 883
Язык: английский
Формат: pdf (true)
Размер: 14.2 MB

A start-to-finish guide to one of the most useful programming languages for researchers in a variety of fields. In the newly revised Third Edition of The R Book, a team of distinguished teachers and researchers delivers a user-friendly and comprehensive discussion of foundational and advanced topics in the R software language, which is used widely in science, engineering, medicine, economics, and other fields. The book is designed to be used as both a complete text—readable from cover to cover—and as a reference manual for practitioners seeking authoritative guidance on particular topics.