Machine Learning Applications In Software Engineering

As one of the results of an ambitious project, this handbook provides a well-structured directory of globally available software tools in the area of Integrated Computational Materials Engineering (IC

The Illustrated Wavelet Transform Handbook: Introductory Theory and Applications in Science, Engineering, Medicine and Finance 2e provides an overview of the theory and practical applications of wavel

This book provides readers with the most current, accurate, and practical fluid mechanics related applications that the practicing BS level engineer needs today in the chemical and related industries,

This succinct book focuses on computer aided design (CAD), 3-D modeling, and engineering analysis and the ways they can be applied effectively in research and industrial sectors including aerospace, d

The book presents a collection of selected papers from the I Workshop of the Venezuelan Society of Fluid Mechanics held on Margarita Island, Venezuela from November 4 to 9, 2012. Written by experts in

Zill presents readers with the sixth edition of his comprehensive guide to the mathematical concepts and equations involved in engineering. He has organized the twenty chapters that make up the main b

Advanced Data Analysis and Modeling in Chemical Engineering provides the mathematical foundations of different areas of chemical engineering and describes typical applications. The book presents the k

The three volume set LNAI 9851, 9852 and 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del

This book constitutes the refereed proceedings of the 8th International Workshop on Software Engineering for Resilient Systems, SERENE 2015, held in Gothenburg, Sweden, in September 2016.The 10 papers

This book presents the fundamentals and applications of Matrix Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-ToF-MS) technique. It highlights the basic principles, the h

Steven H. Strogatz’s Nonlinear Dynamics and Chaos, second edition, is aimed at newcomers to nonlinear dynamics and chaos, especially students taking a first course in the subject. The presentation str

Based on courses given at Eötvös Loránd University (Hungary) over the past 30 years, this introductory textbook develops the central concepts of the analysis of functions of one variable — systematically, with many examples and illustrations, and in a manner that builds upon, and sharpens, the student's mathematical intuition. The book provides a solid grounding in the basics of logic and proofs, sets, and real numbers, in preparation for a study of the main topics: limits, continuity, rational functions and transcendental functions, differentiation, and integration. Numerous applications to other areas of mathematics, and to physics, are given, thereby demonstrating the practical scope and power of the theoretical concepts treated.In the spirit of learning-by-doing, Real Analysis includes more than 500 engaging exercises for the student keen on mastering the basics of analysis. The wealth of material, and modular organization, of the book make it adaptable as a textbook for courses of

Designed for senior-level and graduate courses in Dynamics of Structures and Earthquake Engineering. Dynamics of Structures includes many topics encompassing the theory of structural dynamics and

This book constitutes the refereed proceedings of the 17th International Conference on Engineering Applications of Neural Networks, EANN 2016, held in Aberdeen, UK, in September 2016.The 22 revised fu

This book summarizes the latest developments of bio-inspired computation in image processing, with a focus on nature-inspired algorithms linked with deep learning, such as ant colony optimization, par

This outstanding introductory treatment is geared toward advanced undergraduates and graduate students in all areas that require knowledge of graph theory. The first nine chapters constitute

Find Your Future in Engineering introduces 8 high-interest engineering careers via reader-friendly profiles and sidebar features that inspire extended learning, online research, and critical thinking

Predictive modeling uses data to forecast future events. It exploits relationships between explanatory variables and the predicted variables from past occurrences to predict future outcomes. Forecasting financial events is a core skill that actuaries routinely apply in insurance and other risk-management applications. Predictive Modeling Applications in Actuarial Science emphasizes life-long learning by developing tools in an insurance context, providing the relevant actuarial applications, and introducing advanced statistical techniques that can be used to gain a competitive advantage in situations with complex data. Volume 2 examines applications of predictive modeling. Where Volume 1 developed the foundations of predictive modeling, Volume 2 explores practical uses for techniques, focusing on property and casualty insurance. Readers are exposed to a variety of techniques in concrete, real-life contexts that demonstrate their value and the overall value of predictive modeling, for se

This book covers the important elements of industrial engineering that all engineers need to know in order to become effective in their day-to-day activities and opens their career paths to management

Motor Learning and Control: Concepts and Applications provides an introductory study of motor learning and control for students who aspire to become practitioners in exercise science, physical educati

International contributors in computer science, information technology, data science, software engineering, and cloud and grid computing reveal the latest research, development, practice, and applicat

Motor Learning and Control: Concepts and Applications provides an introductory study of motor learning and control for students who aspire to become practitioners in exercise science, physical educati

This work unites international contributors in computer science, information systems, electronic engineering, robotics, telecommunications engineering, and computer mathematical modeling to chart the

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

This work unites US and international contributors (many affiliated with Columbia University) in instructional technology, education, disabilities, cognitive studies, software development, teaching, a

The field of data mining is receiving significant attention in today's information-rich society, where data is available from different sources and formats, in large volumes, and no longer constitutes

Thorough and continuous architecting is the key to overall success in software engineering, and architecture evaluation is a crucial part of it. This book presents a pragmatic architecture evaluation

In this age of rapid technological progress, the scope of computer and electronic engineering studies are vast. This book integrates the complex applications of computer engineering and electronics in

The revolutions in software technology in last few decades require a solid foundation of complex structures. Software architecture is an emerging branch of software engineering which presents a bluepr

Coatings and surface engineering is a very significant discipline as it has applications ranging in diverse branches like chemistry, mechanical engineering, and electrical engineering. With state-of-t

Modeling aspects have added a new dimension in research innovations in all branches of engineering. In the field of soil and water engineering, they are increasingly used for planning, development, an

Advanced Composite Materials for Aerospace Engineering: Processing, Properties and Applications predominately focuses on the use of advanced composite materials in aerospace engineering. It discusses

A recent initiative within the civil engineering field is the use of nanotechnology and materials within the construction industry. While there has been great success in the adoption of various nanoma

This textbook covers tools and applications in civil engineering systems. It begins by revising the mathematical and statistical background for the adequate formulation of civil engineering problems.

Most existing textbooks on this subject were written either for mathematics or engineering students and do not address the unique situation of computer science students, who have some background in di

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

A multidisciplinary reference of engineering measurement tools, techniques, and applications"When you can measure what you are speaking about, and express it in numbers, you know something about

Presents the methodology and applications of ODE and PDE models within biomedical science and engineeringWith an emphasis on the method of lines (MOL) for partial differential equation (PDE) numerical

This book will provide researchers and graduate students with an overview of the recent developments and applications of process intensification in chemical engineering. It will also allow the readers

State-space models are a very flexible class of models used primarily in time series analysis. This book provides a synthesis of recent research in this area, with modern methods and computational gui