Machine Learning Applications In Software Engineering

The fundamentals of methods in nuclear geophysics and their practical applications in engineering geology, hydrology, hydrogeology, agriculture and environmental science are discussed in this book. Th

Applied Food Science and Engineering with Industrial Applications highlights the latest advances and research in the interdisciplinary field of food engineering, emphasizing food science as well as qu

This edited work focuses on recent advances in Reverse Engineering of macro, micro and nano components for medical, manufacturing and security applications. A general introduction and overview of reve

Elasticity: Theory, Applications, and Numerics, Fourth Edition, continues its market-leading tradition of concisely presenting and developing the linear theory of elasticity, moving from solution methodologies, formulations, and strategies into applications of contemporary interest, such as fracture mechanics, anisotropic and composite materials, micromechanics, nonhomogeneous graded materials, and computational methods. Developed for a one- or two-semester graduate elasticity course, this new edition has been revised with new worked examples and exercises, and new or expanded coverage of areas such as treatment of large deformations, fracture mechanics, strain gradient and surface elasticity theory, and tensor analysis. Using MATLAB software, numerical activities in the text are integrated with analytical problem solutions.Online ancillary support materials for instructors include a solutions manual, image bank, and a set of PowerPoint lecture slides.

This book explores, through eight chapters, how design thinking vocabulary can be interpreted and employed in educational contexts. The theoretical foundations of design thinking and design in educati

This book provides a thorough introduction to the most important topics in data mining and machine learning. All the topics covered have undergone rapid development and this treatment offers a modern

This unique text/reference reviews the key principles and techniques in conceptual modelling which are of relevance to specialists in the field of cultural heritage.Information modelling tasks are a v

The evolution of the concept of mind in cognitive science over the past 25 years creates new ways to think about the interaction of people and computers. New ideas about embodiment, metaphor as a fun

This book explains the complete loop to effectively use self-tracking data for machine learning. While it focuses on self-tracking data, the techniques explained are also applicable to sensory data in

There are four major tasks for clustering: Making simplification for further data processing. In this case, the data is split into different groups which then are processed individually. In business,