Machine Learning Applications In Software Engineering

Dependence with complete connections is a more general type of stochastic process than the well-known Markovian dependence, accounting for a complete history of a stochastic evolution. This book is an authoritative survey of knowledge of the subject, dealing with the basic theoretical understanding and also with applications. These arise in a variety of situations as diverse as stochastic models of learning, branching processes in random environments, continued fractions and dynamical systems. Thus the book will appeal to mathematicians working in probability theory, ergodic theory and number theory, as well as applied mathematicians, engineers, biologists and social scientists interested in applications of stochastic methods.

The marriage of mobile communications with Internet technologies opens up the Web to a vastly expanded audience. New types of applications that take advantage of user location, provide time-critical information, and offer personalized content are now possible. WAP, the Wireless Application Protocol, provides the technology to build this wireless Web. You will learn about the WAP Forum, mobile devices, and what makes a good WAP application. This book shows you around the WAP standards, explaining which ones you really need to build WAP applications. It guides you through the critical success factors in designing WAP applications and helps you choose the right architecture for your WAP project Tutorials on WML (the HTML of wireless web) WMLScript, and Push technology are combined with real world examples to make Practical WAP ideal for software developers, architects, and managers.

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.

Minecraft + STEM = An unstoppable force for fun and learning! In Unofficial Minecraft STEM Lab for Kids, you’ll find a collection of 48 creative projects that make learning scienc

It's nearly impossible to build a competent Go-playing machine using conventional programming techniques, let alone have it win. By applying advanced AI techniques, in particular deep learning and rei

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

The interdisciplinary field of the learning sciences encompasses educational psychology, cognitive science, computer science, and anthropology, among other disciplines. The Cambridge Handbook of the Learning Sciences, first published in 2006, is the definitive introduction to this innovative approach to teaching, learning, and educational technology. In this significantly revised third edition, leading scholars incorporate the latest research to provide seminal overviews of the field. This research is essential in developing effective innovations that enhance student learning - including how to write textbooks, design educational software, prepare effective teachers, and organize classrooms. The chapters illustrate the importance of creating productive learning environments both inside and outside school, including after school clubs, libraries, and museums. The Handbook has proven to be an essential resource for graduate students, researchers, consultants, software designers, and poli

This collection of nineteen articles on emerging technologies in web applications showcases current scholarship in a variety of fields including software engineering, multi-agent systems, knowledge-ba

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

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

Intended for high level undergraduate and beginning graduate students in computer engineering, this textbook provides practical information for developing software for sensor networks. Introductory an

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

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

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

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

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

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

Written as a resource for both pre-service and in-service educators, this theory-to-practice book focuses on the foundations and applications of constructivism applied to the teaching and learning of

This book introduces Web developers to the advanced topic of machine learning and statistics in a clear and concise way, with easy-to-follow examples and code that can be used in their own application

Artificial Intelligence for Future Generation Robotics offers a vision for potential future robotics applications for AI technologies. Each chapter includes theory and mathematics to stimulate novel research directions based on the state-of-the-art in AI and smart robotics. Organized by application into ten chapters, this book offers a practical tool for researchers and engineers looking for new avenues and use-cases that combine AI with smart robotics.As we witness exponential growth in automation and the rapid advancement of underpinning technologies, such as ubiquitous computing, sensing, intelligent data processing, mobile computing and context aware applications, this book is an ideal resource for future innovation.

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

'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

Engineering the Complex SOC The first unified hardware/software guide to processor-centric SOC design Processor-centric approaches enable SOC designers to complete far larger projects in far les

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.

This new volume focuses on modern analytic methodologies in the chemistry and physics of engineering materials that have potential for applications in several disciplines of engineering and science. C

Recent practice in distributed systems has shifted from building and maintaining monolithic applications to breaking monoliths into microservices, but the standardization and best practices for micros

This new book facilitates the study of problematic chemicals in such applications as chemical fate modeling, chemical process design, and experimental design. It provides a valuable overview of curren

This volume covers theoretical advances and developments, computational challenges and tools as well as applications in the area of multi-parametric model based control. Part I is concerned with the

Providing a solid foundation for twenty-first-century scientists and engineers, Data Analysis and Statistics for Geography, Environmental Science, and Engineering guides readers in learning quantitati

Susan Aldridge gives an accessible guide to the world of DNA and also explores the applications of genetic engineering in biotechnology. She takes the reader, step by step, through the fascinating study of molecular biology. The first part of the book describes DNA and its function within living organisms. The second part explores genetic engineering and its applications to humans such as gene therapy, genetic screening and DNA fingerprinting. The third looks at the wider world of biotechnology and how genetic engineering can be applied to such problems as producing vegetarian cheese or cleaning up the environment. The final part explains how knowledge of the structure and functioning of genes sheds light on evolution and our place in the world. Although easy to read, this book faces up to the science involved and should be read by anyone who wants to know about DNA and genetic engineering.

Artificial Intelligence-Aided Materials Design: AI-Algorithms and Case Studies on Alloys and Metallurgical Processes describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials, including magnetic alloys, nickel-base superalloys, titanium-base alloys, and aluminum-base alloys. Readers new to AI/ML algorithms can use this book as a starting point and use the included MATLAB and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference. Offers advantages and limitations of several AI concepts and their proper implementation in various data types generated through experiments and computer simulations and from industries in different file formats Helps readers develop predictive models through AI/ML algorithms by writing their own computer code or usin

Susan Aldridge gives an accessible guide to the world of DNA and also explores the applications of genetic engineering in biotechnology. She takes the reader, step by step, through the fascinating study of molecular biology. Aldridge also looks at the wider world of biotechnology and how genetic engineering can be applied to such problems as producing vegetarian cheese or cleaning up the environment. Although easy to read, this book does not avoid the science and provides a stimulating introduction to this enigmatic part of nature.