Machine Learning Applications In Software Engineering

For courses in machine shop, machine tool technology, machining processes/manufacturing processes technology, industrial technology, industrial mechanics, and industrial engineering at the undergradua

Aimed at graduates and researchers, and requiring only a basic knowledge of multi-variable calculus, this introduction to computer-based partial differential equation (PDE) modeling provides readers with the practical methods necessary to develop and use PDE mathematical models in biomedical engineering. Taking an applied approach, rather than using abstract mathematics, the reader is instructed through six biomedical example applications, each example characterized by step-by-step discussions of established numerical methods and implemented in reliable computer routines. Adopting this technique, the reader will understand how PDE models are formulated, implemented and tested. Supported by a set of rigorously tested general purpose PDE routines online, and with enhanced understanding through animations, this book will be ideal for anyone faced with interpreting large experimental data sets that need to be analyzed with PDE models in biomedical engineering.

For engineering students and industry practitioners who are interested in mastering the design, implementation, and experimentation of a communication system, Collins and colleagues use the concep

This book explores the domain of reliability engineering in the context of machine tools. Failures of machine tools not only jeopardize users’ ability to meet their due date commitments but also lead

This book provides comprehensive coverage of verification and debugging techniques for the embedded software frequently used in safety-critical applications (e.g., automotive), where failures are unac

This unique guide explains software project management from the standpoint of a software project manager working in a professional software development organization. It covers the subject of software

This comprehensive text/reference presents a broad review of diverse domain adaptation (DA) methods for machine learning, with a focus on solutions for visual applications. The book collects together

Embedded Software Development With C offers both an effectual reference for professionals and researchers, and a valuable learning tool for students by laying the groundwork for a solid foundation in

How science is opening up the mysteries of the heart, revealing the poetry in motion within the machine.Your heart is a miracle in motion, a marvel of construction unsurpassed by any human-made creation. It beats 100,000 times every day―if you were to live to 100, that would be more than 3 billion beats across your lifespan. Despite decades of effort in labs all over the world, we have not yet been able to replicate the heart’s perfect engineering. But, as Sian Harding shows us in The Exquisite Machine, new scientific developments are opening up the mysteries of the heart. And this explosion of new science―ultrafast imaging, gene editing, stem cells, artificial intelligence, and advanced sub-light microscopy―has crucial, real-world consequences for health and well-being. Harding―a world leader in cardiac research―explores the relation between the emotions and heart function, reporting that the heart not only responds to our emotions, it creates them as well. The condition known as Brok

This comprehensive text is an excellent resource for students and practicing engineers. Providing an excellent balance of theoretical and applied topics, it shows the numerical methods used with C, C+

Develop the drawing skills you need for a successful career in CAD, drafting, or design with this comprehensive, widely successful book, now in its 6th edition! Technical Drawing and Engineering Commu

These four volumes present innovative thematic applications implemented using the open source software QGIS. These are applications that use remote sensing over continental surfaces. The volumes detai

This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or

Rubinstein is the pioneer of the well-known score function and cross-entropy methods.Accessible to a broad audience of engineers, computer scientists, mathematicians, statisticians and in general anyo

Presents the latest research findings, developments, and applications in the areas of geotechnics, soil mechanics, foundations, geological engineering and share experiences in the design of complex ge

Hilbert Transform Applications in Mechanical Vibration addresses recent advances in theory and applications of the Hilbert transform to vibration engineering, enabling laboratory dynamic tests to be p

The confluence of the fields of liquid crystals and biomedical engineering is resulting in remarkable interdisciplinary research. This book focuses on the potential for inherently translational resear

The study of rock dynamics is important because many rock mechanics and rock engineering problems involve dynamic loading ranging from earthquakes to vibrations and explosions. The subject deals with

Porphyrins, phthalocyanines and their numerous analogs and derivatives are materials of tremendous importance in chemistry, materials science, physics, biology and medicine. They are the red color in

Porphyrins, phthalocyanines and their numerous analogue and derivatives are materials of tremendous importance in chemistry, materials science, physics, biology and medicine. They are the red color in

A one-stop guide for public health students and practitioners learning regression analysis and statistical methods This book is written for public health professionals and students interested in apply

"This book outlines the latest computational tools, models, and methodologies surrounding the analysis of wall and frame load support and resilience, emphasizing best practices in computational simula

This 5-volume set provides a comprehensive review of the most up-to-date research on porphyrin, heme and chlorophyll biochemistry, as well as applications to biomedicine and bio-inspired energy. In-de

In modern industries, electrical energy conversion systems consist of two main parts: electrical machines and power electronic converters. With global electricity use at an all-time high, uninterrupte

Educational research often discounts the uniqueness and ubiquity of software and the hidden political, economic and epistemological ways it impacts teaching and learning in K-12 settings. Drawing on t

Predictive modeling involves the use of data to forecast future events. It relies on capturing relationships between explanatory variables and the predicted variables from past occurrences and exploiting this to predict future outcomes. Forecasting future financial events is a core actuarial skill - actuaries routinely apply predictive-modeling techniques in insurance and other risk-management applications. This book is for actuaries and other financial analysts who are developing their expertise in statistics and wish to become familiar with concrete examples of predictive modeling. The book also addresses the needs of more seasoned practising analysts who would like an overview of advanced statistical topics that are particularly relevant in actuarial practice. Predictive Modeling Applications in Actuarial Science emphasizes lifelong learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques tha

Injection molds for thermoplastic molding materials and their performance are covered in detail in this book for mold designers, molding machine technicians, and design engineers. Guidelines are suppl

Combustion Engineering, Third Edition presents combustion science principles and engineering applications in an acessible way for undergraduate and graduate students, and professionals in the workplac

Thermal Engineering covers in a comprehensive and coherent manner fundamentals of thermodynamics and their engineering applications. Beginning with elementary ideas of pressure, temperature and heat,

Master the Latest Developments in Soil Testing and New Applications of Geotechnical Engineering Geotechnical Engineering: Principles and Practices offers students and practicing engineers a concise, e

The book focuses on different variants of decision tree induction but also describes the meta-learning approach in general which is applicable to other types of machine learning algorithms. The book

Fuzzy Cognitive Maps (FCM) constitute cognitive models in the form of fuzzy directed graphs consisting of two basic elements: the nodes, which basically correspond to “concepts” bearing different stat

Scientists are learning to manipulate the genes of plants and animals, changing existing organisms and creating new ones. By taking control of the mechanisms that govern heredity in other species, hu