Machine Learning Applications In Software Engineering

Although the disciplines of architecture and structural engineering have both experienced their own historical development, their interaction has resulted in many fascinating and delightful structures

The past few years have witnessed significant developments in algebraic coding theory. This book provides an advanced treatment of the subject from an engineering perspective, covering the basic principles and their application in communications and signal processing. Emphasis is on codes defined on the line, on the plane, and on curves, with the core ideas presented using commutative algebra and computational algebraic geometry made accessible using the Fourier transform. Starting with codes defined on a line, a background framework is established upon which the later chapters concerning codes on planes, and on curves, are developed. The decoding algorithms are developed using the standard engineering approach applied to those of Reed-Solomon codes, enabling them to be evaluated against practical applications. Integrating recent developments in the field into the classical treatment of algebraic coding, this is an invaluable resource for graduate students and researchers in telecommun

This book presents current research on advanced magnetic materials and multifunctional composites. Recent advances in technology and engineering have resulted from the development of advanced magnetic

Researchers and practitioners in computer science, electrical engineering, information, and other fields discuss the current state of cyber security, which encompasses the security of both information

Studies of pedestrian behaviour have recently gained a lot of attention in a variety of disciplines, including urban planning, transportation, civil engineering, computer science/artificial intelligen

This introduction to quantum mechanics is intended for undergraduate students of physics, chemistry, and engineering with some previous exposure to quantum ideas. Following in Heisenberg’s and Dirac’s

Combining different perspectives from materials science, engineering, and computer science, this reference provides a unified view of the various aspects necessary for the successful realization of in

This book provides a comprehensive overview of engineering nanostructures mediated by functional polymers in combination with optimal synthesis and processing techniques. The focus is on polymer-engin

"Computer methods continue to be critical in the analysis, simulation, design and optimization of engineering processes and systems. Computational approaches are needed to solve the complex mathematic

Fungi have an integral role to play in the development of the biotechnology and biomedical sectors. The fields of chemical engineering, Agri-food,Biochemical, pharmaceuticals, diagnostics and medical

In the past few decades, friction material engineering has become more sophisticated with many tests and techniques to investigate the properties of the materials and their counterparts before, during

Currently, many smart materials exhibit one or multifunctional capabilities that are being effectively exploited in various engineering applications, but these are only a hint of what is possible. New

Polysaccharides and their related compounds are attracting much attention because of their potential for the applications as new functional materials in many research field such as medicines, pharmace

For professionals and researchers in healthcare, as well as developers of game-based learning solutions, Arnab (Serious Games Institute, Coventry U., UK) et al. compile 14 chapters by healthcare profe

This textbook explains Deep Learning Architecture, with applications to various NLP Tasks, including Document Classification, Machine Translation, Language Modeling, and Speech Recognition. With the w

This text gives budding actuaries and financial analysts a foundation in multiple regression and time series. They will learn about these statistical techniques using data on the demand for insurance, lottery sales, foreign exchange rates, and other applications. Although no specific knowledge of risk management or finance is presumed, the approach introduces applications in which statistical techniques can be used to analyze real data of interest. In addition to the fundamentals, this book describes several advanced statistical topics that are particularly relevant to actuarial and financial practice, including the analysis of longitudinal, two-part (frequency/severity), and fat-tailed data. Datasets with detailed descriptions, sample statistical software scripts in 'R' and 'SAS', and tips on writing a statistical report, including sample projects, can be found on the book's Web site: http://research.bus.wisc.edu/RegActuaries.

This book develops two key machine learning principles: the semi-supervised paradigm and learning with interdependent data. It reveals new applications, primarily web related, that transgress the clas

Palaeontology, the scientific study of fossils, has developed from a descriptive science to an analytical science used to interpret relationships between Earth and life history. This book provides a comprehensive and thematic treatment of applied palaeontology, covering the use of fossils in the ordering of rocks in time and in space, in biostratigraphy, palaeobiology and sequence stratigraphy. Robert Wynn Jones presents a practical workflow for applied palaeontology, including sample acquisition, preparation and analysis, and interpretation and integration. He then presents numerous case studies that demonstrate the applicability and value of the subject to areas such as petroleum, mineral and coal exploration and exploitation, engineering geology and environmental science. Specialist applications outside of the geosciences (including archaeology, forensic science, medical palynology, entomopalynology and melissopalynology) are also addressed. Abundantly illustrated and referenced, Ap

The area of nonlinear dispersive partial differential equations (PDEs) is a fast developing field which has become exceedingly technical in recent years. With this book, the authors provide a self-contained and accessible introduction for graduate or advanced undergraduate students in mathematics, engineering, and the physical sciences. Both classical and modern methods used in the field are described in detail, concentrating on the model cases that simplify the presentation without compromising the deep technical aspects of the theory, thus allowing students to learn the material in a short period of time. This book is appropriate both for self-study by students with a background in analysis, and for teaching a semester-long introductory graduate course in nonlinear dispersive PDEs. Copious exercises are included, and applications of the theory are also presented to connect dispersive PDEs with the more general areas of dynamical systems and mathematical physics.

Both a serious academic text and an intriguing story, this seventh edition reflects a significant update in research, theory, and applications in all areas. It presents a comprehensive view of the historical development of learning theories from behaviorist through to cognitive models. The chapters also cover memory, motivation, social learning, machine learning, and artificial intelligence. The author's highly entertaining style clarifies concepts, emphasizes practical applications, and presents a thought-provoking, narrator-based commentary. The stage is given to Mrs Gribbin and her swashbuckling cat, who both lighten things up and supply much-needed detail. These two help to explore the importance of technology for simulating human cognitive processes and engage with current models of memory. They investigate developments in, and applications of, brain-based research and plunge into models in motivation theory, to name but a few of the adventures they embark upon in this textbook.

Adopting a uniquely pedagogical approach, this comprehensive textbook on the quantum mechanics of semiconductor materials and devices focuses on the materials, components and devices themselves whilst incorporating a substantial amount of fundamental physics related to condensed matter theory and quantum mechanics. Written primarily for advanced undergraduate students in physics and engineering, this book can also be used as a supporting text for introductory quantum mechanics courses, and will be of interest to anyone interested in how electronic devices function at a fundamental level. Complete with numerous exercises, and with all the necessary mathematics and physics included in appendices, this book guides the reader seamlessly through the principles of quantum mechanics and the quantum theory of metals and semiconductors, before describing in detail how devices are exploited within electric circuits and in the hardware of computers, for example as amplifiers, switches and transis

Electronic composites, whose properties can be controlled by thermal or electromagnetic means, play an important role in micro- and nano-electromechanical systems (MEMS/NEMS) such as sensors, actuators, filters and switches. This 2005 book describes the processing, simulation, and applications of electronic composites. The book begins with a review of the mechanical, thermal, electromagnetic and coupling behaviour of electronic composites. Their major applications are then discussed. Key simulation models are described in detail and illustrated by reference to real examples. The book closes with a discussion of electronic composite processing, including MEMS design and packaging. The book contains a comprehensive list of references and is aimed at graduate students of electrical engineering and materials science. It will also be a useful reference for researchers and engineers in the MEMS industry.

Fluid mechanics is the study of fluids including liquids, gases and plasmas and the forces acting on them. Its study is critical in predicting rainfall, ocean currents, reducing drag on cars and aeroplanes, and design of engines. The subject is also interesting from a mathematical perspective due to the nonlinear nature of its equations. For example, the topic of turbulence has been a subject of interest to both mathematicians and engineers: to the former because of its mathematically complex nature and to the latter group because of its ubiquitous presence in real-life applications. This book is a follow-up to the first volume and discusses the concepts of fluid mechanics in detail. The book gives an in-depth summary of the governing equations and their engineering related applications. It also comprehensively discusses the fundamental theories related to kinematics and governing equations, hydrostatics, surface waves and ideal fluid flow, followed by their applications.

Latent inhibition is a phenomenon by which exposure to an irrelevant stimulus impedes the acquisition or expression of conditioned associations with that stimulus. Latent inhibition, an integral part of the learning process, is observed in many species. This comprehensive collection of studies of latent inhibition, from a variety of disciplines including behavioural/cognitive psychology, neuroscience and genetics, focuses on abnormal latent inhibition effects in schizophrenic patients and schizotypal normals. Amongst other things, the book addresses questions such as, is latent inhibition an acquisition or performance deficit? What is the relationship of latent inhibition to habituation, extinction, and learned irrelevance? Does reduced latent inhibition predict creativity? What are the neural substrates, pharmacology, and genetics of latent inhibition? What do latent inhibition research and theories tell us about schizophrenia? This book provides a single point of reference for neuros

This unique text helps make sense of big data in engineering applications using tools and techniques from signal processing. It presents fundamental signal processing theories and software implementations, reviews current research trends and challenges, and describes the techniques used for analysis, design and optimization. Readers will learn about key theoretical issues such as data modelling and representation, scalable and low-complexity information processing and optimization, tensor and sublinear algorithms, and deep learning and software architecture, and their application to a wide range of engineering scenarios. Applications discussed in detail include wireless networking, smart grid systems, and sensor networks and cloud computing. This is the ideal text for researchers and practising engineers wanting to solve practical problems involving large amounts of data, and for students looking to grasp the fundamentals of big data analytics.

The concept of “chaos”, and chaos theory, though it is a field of study specifically in the field of mathematics with applications in physics, engineering, economics, management, and education, has al

In this updated and expanded second edition, Keith Potts and Nii Ankrah examine key issues in construction cost management across the building and civil engineering sectors, both in the UK and oversea

This volume is complementary to Volume 1: Quantitative Approaches in Health Systems Engineering which provides in-depth analysis of the statistical and quantitative aspects of Health Sy

Applications of some selected soft computing methods to acoustics and sound engineering are presented in this book. The aim of this research study is the implementation of soft computing methods to mu

Sherman brings together nine chapters on how to apply the techniques of usability engineering and user-centered design, through descriptions of several successful instances in public and private secto

It is said that you truly understand an engineering concept when you can visualize it in your "mind's eye." This is especially true in the mechanics of materials course, one of the most challenging su

"A joint endeavor from leading researchers in the fields of philosophy and electrical engineering An Introduction to Statistical Learning Theory provides a broad and accessible introduction to rapidly

For the past two decades, researchers in such fields as computer science, electrical engineering, and material science have been working to develop methods capable of finding high-quality approximate

Current multimedia and telecom applications require complex, heterogeneous multiprocessor system on chip (MPSoC) architectures with specific communication infrastructure in order to achieve the requir

This book covers teaching and learning issues unique to teaching in the science, technology, engineering, and math (STEM) disciplines—such as the extensive coverage of problem-solving—which are not to

This book provides a detailed update on the applications of Serious Games in Healthcare and Education sector. In short, it provides an all rounded research and industry updates about the current and f

This book is the fourth in a multidisciplinary series which brings together leading researchers in the STEAM-H disciplines (Science, Technology, Engineering, Agriculture, Mathematics and Health) to pr

'Science, Technology, and Society' - STS - has become a major educational theme. There are many courses in schools, universities and other institutions, dealing with all sorts of topics such as the history of science, energy policy, industrial innovation, technology assessment, Third World development, scientific method, and so on. But what is this subject really about? Why should it be taught? Who should study it? What should they learn? How should the subject be approached? Who should teach it? These questions are being asked by both teachers and students in many fields of science, engineering, medicine, social studies, and the humanities. This informal account of the rationale of STS education shows how many diverse factors are involved - the philosophy and sociology of science and education, social and cultural objectives, political ideologies, vocational needs, scholarly standards, institutional capabilities, etc., not to mention the practical realities of teaching and learning at

This book covers aspects of human re-identification problems related to computer vision and machine learning. Working from a practical perspective, it introduces novel algorithms and designs for human

The book elucidates the revolutionary and riveting research in the ultramodern domain of drone technologies, drone-enabled IoT applications, and artificial intelligence-based smart surveillance. The book explains the most recent developments in the field, challenges, and future scope of drone technologies. Beyond that, it discusses the importance of a wide range of design applications, drone/UAV development, and drone-enabled smart healthcare systems for smart cities. It describes pioneering work on mitigating cyber security threats by employing intelligent machine learning models in the designing of IoT-aided drones. The book also has a fascinating chapter on application intrusion detection by drones using recurrent neural networks. Other chapters address interdisciplinary fields like artificial intelligence, deep learning, the role of drones in healthcare in smart cities, and the importance of drone technology in agriculture.