Machine Learning Applications In Software Engineering

"This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. The book is unique in the sense of describing how a search t

This book provides a unified framework that describes how genetic learning can be used to design pattern recognition and learning systems. It examines how a search technique, the genetic algorithm, ca

"Software update is an important mechanism by which security changes and improvements are made in software, and this seemingly simple concept encompasses a wide variety of practices, mechanisms, polic

This book explores the significant role of granular computing in advancing machine learning towards in-depth processing of big data. It begins by introducing the main characteristics of big data, i.e.

Techniques of vision-based motion analysis aim to detect, track, identify, and generally understand the behavior of objects in image sequences. With the growth of video data in a wide range of applica

Statistical Regression and Classification: From Linear Models to Machine Learning takes an innovative look at the traditional statistical regression course, presenting a contemporary treatment in line

Quantum Machine Learning bridges the gap between abstract developments in quantum computing and the applied research on machine learning. Paring down the complexity of the disciplines involved, it foc

Elon Musk, Stephen Hawking and Bill Gates, have proclaimed Artificial Intelligence as a possible threat in the future unless humans learn to use it wisely. Could this be true? Is it possible for us to

Software and Hardware Engineering: Assembly and C Programming for the Freescale HCS12 Microcontroller, Second Edition, provides a general-purpose view of software and hardware engineering in microcont

Software engineering and computer science students need a resource that explains how to apply design patterns at the enterprise level, allowing them to design and implement systems of high stability a

This reference is a brief introduction to the methods used in machine design. It uses a question and answer format to explain the key concepts in machine methods. Selected topics include: engineering

The intent of this book is to describe how a professor can provide a learning environment that assists students in coming to grips with the nature of science and engineering, to understand science and

The intent of this book is to describe how a professor can provide a learning environment that assists students in coming to grips with the nature of science and engineering, to understand science and

This book focuses on modelling and simulation, control and optimization, signal processing, and forecasting in selected nonlinear dynamical systems, presenting both literature reviews and novel concep

"This second volume of two discusses the employment of action learning in different contexts, including healthcare, education, government, military and the business world. Use of action learning in de

This brief describes the evolutionary and global impact of the techno-social transformation on learning technologies in terms of emerging pedagogical frameworks and applications. it provides examples

Teaching and learning paradigms have attracted increased attention especially in the last decade. Immense developments of different ICT technologies and services have paved the way for alternative but

With solid theoretical foundations and numerous potential applications, Blind Signal Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume unifies and extends the the

Applications of Big Data in Healthcare: Theory and Practice begins with the basics of Big Data analysis and introduces the tools, processes and procedures associated with Big Data analytics. The book unites healthcare with Big Data analysis and uses the advantages of the latter to solve the problems faced by the former. The authors present the challenges faced by the healthcare industry, including capturing, storing, searching, sharing and analyzing data.This book illustrates the challenges in the applications of Big Data and suggests ways to overcome them, with a primary emphasis on data repositories, challenges, and concepts for data scientists, engineers and clinicians. The applications of Big Data have grown tremendously within the past few years and its growth can not only be attributed to its competence to handle large data streams but also to its abilities to find insights from complex, noisy, heterogeneous, longitudinal and voluminous data. The main objectives of Big Data in th

This anthology reviews open source software issues in the e-learning environment. Topics covered include Web 2.0 technologies in e-learning, the roll of free and open source software in education, bui

① Do you know what AI is doing to improve our health and wellbeing?② Does this new technology concern you, or impress you?③ Do you want to know more about the future of AI in healthcare?Technology continues to advance at a pace that can seem bewildering. Nowhere else is it moving faster than in the health sector, where ♥AI is now being used to improve millions of lives♥.In this book, ◆ Artificial Intelligence in Healthcare: AI, Machine Learning, and Deep and Intelligent Medicine Simplified for Everyone ◆, you can discover the great improvements that AI is making, with chapters covering: ✓ The current applications and future of AI in healthcare and all major medical specialties✓ The benefits and risks weighed up✓ The ethics involved✓ Machine learning and data science simplified✓ AI's role in medical research and education, health insurance, drug discovery, electronic health records, and the fight against COVID-19✓ The roles that major corporations and start-up companies are playing✓ The

Schlesinger (Computer Science, Kennesaw State University) presents a practical guide for developing useful software applications that are high performing, secure, reliable, and configurable. Expanding

The 14 chapters in this collection explore the possibilities of web-based software for supporting learning via group interaction. The contributors describe the different Web 2.0 and social software to