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.

Название: Getting Started with Natural Language Processing (Final Release)
Автор: Ekaterina Kochmar
Издательство: Manning Publications
Год: 2022
Страниц: 458
Язык: английский
Формат: pdf (true)
Размер: 13.5 MB

Hit the ground running with this in-depth introduction to the NLP skills and techniques that allow your computers to speak human. Getting Started with Natural Language Processing is an enjoyable and understandable guide that helps you engineer your first NLP algorithms. Your tutor is Dr. Ekaterina Kochmar, lecturer at the University of Bath, who has helped thousands of students take their first steps with NLP. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. If you’re a beginner to NLP and want to upgrade your applications with functions and features like information extraction, user profiling, and automatic topic labeling, this is the book for you.

Название: Информационные технологии
Автор: Гохберг Г.С., Зафиевский А.В., Короткин А.А.
Издательство: Академия
Год: 2014
Формат: pdf
ISBN: 978-5-4468-0766-6
Размер: 47 мб
Качество: хорошее
Язык: русский

Изложены основы современных информационных технологий с использованием методов искусственного интеллекта. Приводятся принципы построения и примеры интеллектуальных информационных систем, а также процесс формирования баз знаний.

Название: Object Detection by Stereo Vision Images
Автор: R. Arokia Priya, Anupama V. Patil
Издательство: Wiley-Scrivener
Год: 2022
Страниц: 283
Язык: английский
Формат: pdf (true)
Размер: 49.86 MB

Since both theoretical and practical aspects of the developments in this field of research are explored, including recent state-of-the-art technologies and research opportunities in the area of object detection, this book will act as a good reference for practitioners, students, and researchers. Current state-of-the-art technologies have opened up new opportunities in research in the areas of object detection and recognition of digital images and videos, robotics, neural networks, Machine Learning (ML), stereo vision matching algorithms, soft computing, customer prediction, social media analysis, recommendation systems, and stereo vision. This book has been designed to provide directions for those interested in researching and developing intelligent applications to detect an object and estimate depth. In addition to focusing on the performance of the system using high-performance computing techniques, a technical overview of certain tools, languages, libraries, frameworks, and APIs for developing applications is also given. Feature Extraction Using Python. The feature is expressed in such a manner that it computes some of the object’s most significant characteristics as a function of one or more measurements, each of which defines some calculated attribute of an entity. Feature is a method for transforming raw data into numerical characteristics that may be processed while maintaining the integrity of the actual data set.