Machine Learning Applications In Software Engineering

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 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

The 13 chapters in the collection describe computational techniques inspired in part by nature and natural systems to represent and organize information from business, science, computing, and engineer

Written for IT professionals and students, this textbook on adaptive business technologies and applications explains the advantages of "co-engineering" corporate IT systems with externally driven vari

The book includes the latest high technology on solving very important theoretical and practical problems on solid mechanics, fracture mechanics, structural analysis, elastodynamics, fluid mechanis an

Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure.Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value.

Artificial Intelligence in Practice follows the same format as Big Data in Practice, featuring about 50 real world case studies of how companies use artificial intelligence and machine learning today.

Human Recognition in Unconstrained Environments: Using Computer Vision, Pattern Recognition and Machine Learning Methods for Biometrics provides a unique picture of the complete ‘in-the-wild’ biometri

Many problems encountered by engineers developing code for specialized Symbian subsystems boil down to a lack of understanding of the core Symbian programming concepts. Developing Software for Symbian

Based around a theme of the construction of a game engine, this textbook is for final year undergraduate and graduate students, emphasising formal methods in writing robust code quickly. This book takes an unusual, engineering-inspired approach to illuminate the creation and verification of large software systems. Where other textbooks discuss business practices through generic project management techniques or detailed rigid logic systems, this book examines the interaction between code in a physical machine and the logic applied in creating the software. These elements create an informal and rigorous study of logic, algebra, and geometry through software. Assuming prior experience with C, C++, or Java programming languages, chapters introduce UML, OCL, and Z from scratch. Extensive worked examples motivate readers to learn the languages through the technical side of software science.

Where early self-regulation research in education focused on cognitive strategies and behaviors, more recent studies have increasingly addressed the roles of motivational processes such as goals, attr

Applications of Structural Fire Engineering contains the papers presented at ASFE 2017 (Manchester, UK, 7-8 September 2017. The ASFE’17 conference is the next in a series (2009, 2011, 2013, 2015) of s

The new standards for baccalaureate software engineering education require that software architecture and design be taught as part of the core curriculum. Qian (Southern Polytechnic State U.), Fu (Hof

Though an individual can process a limitless amount of information, the human brain can only comprehend a small amount of data at a time. Using technology can improve the process and comprehension of