Machine Learning Applications In Software Engineering

This book gives a comprehensive description of the physics and applications of resonant tunnelling diodes. The opening chapters of the book set out the basic principles of coherent tunnelling theory. The effects of impurity scattering, femtosecond dynamics, non-equilibrium distribution and intrinsic bistabilities are then described in detail. The applications of RTDs, such as in high-frequency signal generation and multi-valued data storage, are also reviewed. The book closes with a chapter devoted to the more recent field of resonant tunnelling through laterally confined zero-dimensional structures. Covering all the key theoretical and experimental aspects of this stimulating area of research, the book will be of great value to graduate students of quantum transport physics and device engineering, as well as to researchers in both these fields.

This 2004 volume offers a broad overview of developments in the theory and applications of state space modeling. With fourteen chapters from twenty-three contributors, it offers a unique synthesis of state space methods and unobserved component models that are important in a wide range of subjects, including economics, finance, environmental science, medicine and engineering. The book is divided into four sections: introductory papers, testing, Bayesian inference and the bootstrap, and applications. It will give those unfamiliar with state space models a flavour of the work being carried out as well as providing experts with valuable state of the art summaries of different topics. Offering a useful reference for all, this accessible volume makes a significant contribution to the literature of this discipline.

This 2004 volume offers a broad overview of developments in the theory and applications of state space modeling. With fourteen chapters from twenty-three contributors, it offers a unique synthesis of state space methods and unobserved component models that are important in a wide range of subjects, including economics, finance, environmental science, medicine and engineering. The book is divided into four sections: introductory papers, testing, Bayesian inference and the bootstrap, and applications. It will give those unfamiliar with state space models a flavour of the work being carried out as well as providing experts with valuable state of the art summaries of different topics. Offering a useful reference for all, this accessible volume makes a significant contribution to the literature of this discipline.

Probability theory has diverse applications in a plethora of fields, including physics, engineering, computer science, chemistry, biology and economics. This book will familiarize students with various applications of probability theory, stochastic modeling and random processes, using examples from all these disciplines and more. The reader learns via case studies and begins to recognize the sort of problems that are best tackled probabilistically. The emphasis is on conceptual understanding, the development of intuition and gaining insight, keeping technicalities to a minimum. Nevertheless, a glimpse into the depth of the topics is provided, preparing students for more specialized texts while assuming only an undergraduate-level background in mathematics. The wide range of areas covered - never before discussed together in a unified fashion – includes Markov processes and random walks, Langevin and Fokker–Planck equations, noise, generalized central limit theorem and extreme values st

Probability theory has diverse applications in a plethora of fields, including physics, engineering, computer science, chemistry, biology and economics. This book will familiarize students with various applications of probability theory, stochastic modeling and random processes, using examples from all these disciplines and more. The reader learns via case studies and begins to recognize the sort of problems that are best tackled probabilistically. The emphasis is on conceptual understanding, the development of intuition and gaining insight, keeping technicalities to a minimum. Nevertheless, a glimpse into the depth of the topics is provided, preparing students for more specialized texts while assuming only an undergraduate-level background in mathematics. The wide range of areas covered - never before discussed together in a unified fashion – includes Markov processes and random walks, Langevin and Fokker–Planck equations, noise, generalized central limit theorem and extreme values st

In many problems of applied mathematics, science, engineering or economics, an energy expenditure or its analogue can be approximated by upper and lower bounds. This book provides a unified account of the theory required to establish such bounds, by expressing the governing conditions of the problem, and the bounds, in terms of a saddle functional and its gradients. There are several features, including a chapter on the Legendre dual transformation and some of its singularities. Many substantial examples and exercises are included, especially from the mechanics of fluids, elastic and plastic solids and from optimisation theory. The saddle functional viewpoint gives the book a wide scope. The treatment is straightforward, the only prerequisite being a basic knowledge of the calculus of variations. Part of the book is based on final-year undergraduate courses. This is developed into an account which will interest a wide range of students and professionals in applied mathematics, engineer

Learn the fundamentals of architecture design, protocol optimization, and application development for wireless-powered communication networks with this authoritative guide. Readers will gain a detailed understanding of the issues surrounding architecture and protocol design, with key topics covered including relay-based energy harvesting systems, multiple-antenna systems for simultaneous wireless information and power transfer (SWIPT), performance modeling and analysis, and ambient wireless energy harvesting based cellular systems. Current applications of energy harvesting and transfer in different wireless networking scenarios are discussed, aiding the understanding of practical system development and implementation issues from an engineering perspective. The first book to provide a unified view of energy harvesting and wireless power transfer networks from a communications perspective, this is an essential text for researchers working on wireless communication networks and wireless s

Probability comes of age with this, the first dictionary of probability and its applications in English, which supplies a guide to the concepts and vocabulary of this rapidly expanding field. Besides the basic theory of probability and random processes, applications covered here include financial and insurance mathematics, operations research (including queueing, reliability, and inventories), decision and game theory, optimization, time series, networks, and communication theory, as well as classic problems and paradoxes. The dictionary is reliable, stable, concise, and cohesive. Each entry provides a rigorous definition, a sketch of the context, and a reference pointing the reader to the wider literature. Judicious use of figures makes complex concepts easier to follow without oversimplifying. As the only dictionary on the market, this will be a guiding reference for all those working in, or learning, probability together with its applications.

This volume emphasizes the applications and implications of the Geospatial Web and the role of contextual knowledge in shaping the emerging network society. There is a clear focus on applied geospati

Whereas the first volume deals with the fundamentals, this volume is dedicated to applications in various civil engineering problems, related to dynamic soil-structure interaction, machine foundation

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems

Deep Learning Neural Networks is the fastest growing field in machine learning. It serves as a powerful computational tool for solving prediction, decision, diagnosis, detection and decision problems

This book presents recent research in mobile learning and advanced user interfaces. It is shown how the combination of these fields can result in personalized educational software that meets the requi

The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduct

This unique text presents a thorough introduction to Mastercam X8 Lathe for anyone with little or no prior experience with the software. It can be used in virtually any educational setting -- from fou

Inspirational and practical, this book presents applications to improve teaching quality in K–8 classrooms and helps teachers find greater meaning and satisfaction in their work.

This book presents the state of the art in reinforcement learning applied to robotics both in terms of novel algorithms and applications. It discusses recent approaches that allow robots to learn moto

This book presents the state of the art in reinforcement learning applied to robotics both in terms of novel algorithms and applications. It discusses recent approaches that allow robots to learn moto

From household appliances to applications in robotics, engineered systems involving complex dynamics can only be as effective as the algorithms that control them. While Dynamic Programming (DP) has p

"Socializing the Classroom: Social Networks and Online Learning, by Susan B. Barnes, examines how social media can be used in education through two research grants and real-world applications. Barnes

Socializing the Classroom: Social Networks and Online Learning, by Susan B. Barnes, examines how social media can be used in education through two research grants and real-world applications. Barnes a

Cruz-Cunha (technology, Polytechnic Institute of Cavado and Ave, Portugal) and Varajao (information systems management and software engineering, U. of Tras-os-Montes e Alto Duoro, Portugal) compile 31

Picking up where his Exceptional C++ and More exceptional C++ left off, Sutter offers programmers guidance on analyzing the trade-offs they must often face when designing software and architecture in

Written in a question and answer format, this book offers tips for more effectively writing production C++ software. The author draws from the entire palette of the C++ language and library features

The ICAMEST 2015 Conference covered new developments in advanced materials and engineering structural technology. Applications in civil, mechanical, industrial and material science are covered in this

Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This introduction for researchers and graduate students is the first in-depth, comprehensive treatment of statistical and machine learning methods for neuroscience. The methods are demonstrated through case studies of real problems to empower readers to build their own solutions. The book covers a wide variety of methods, including supervised classification with non-probabilistic models (nearest-neighbors, classification trees, rule induction, artificial neural networks and support vector machines) and probabilistic models (discriminant analysis, logistic regression and Bayesian network classifiers), meta-classifiers, multi-dimensional classifiers and feature subset selection methods. Other parts of the book are devoted to association discovery with probabilistic graphical models (Bayesian networks and Markov networks) and spatial statistics with po

This new volume focuses on the limitations, properties, and models in the chemistry and physics of engineering materials that have potential for applications in several disciplines of engineering and

The definitive work on social and emotional learning (SEL) research and practice is now in an extensively revised second edition, featuring all-new and thoroughly updated chapters. The world’s leading SEL scholars describe state-of-the-art interventions that build students' competencies for managing emotions, showing empathy for others, forming supportive relationships, and making responsible decisions. The scientific underpinnings of SEL are explored and its impact on academic achievement and behavior is examined.The Handbook discusses ways to assess SEL and design effective, developmentally and culturally informed programs for students in preschool through secondary school settings and beyond. New to This Edition *Reflects a decade of significant advances in research, policy, and implementation. *New and expanded topics--equity, culturally responsive practice, multi-tiered systems of support, adult SEL, technology tools and applications, mental health, scaling up successful intervent

This volume provides a broad overview of the latest achievements in scintillator development, from theory to applications, and aiming for a deeper understanding of fundamental processes, as well as th

The editors (National and Kapodistrian U. of Athens) of this collection believe advances in ICT have complicated modern applications and their interfaces, making web systems difficult to use, and sugg

Due to problems associated with the design and manufacturing of composite materials, there is a need to introduce computational and intelligent systems engineering methodology in materials engineering

Covering technical design and construction aspects as well as financial analysis and risk assessment, this professional reference work provides a comprehensive overview of solar power technology. Whether or not you have a technology background, this essential guide will help you to understand the design, construction, financial analysis, and risk assessment of solar power technology. The first two chapters present an uncomplicated overview of solar power technology physics, solar cell technology, applications, and equipment. In subsequent chapters, readers are introduced to fundamental econometric analysis in such a way that will allow anyone, whether or not they have a background in finance, to become familiar with the fundamental costing and financing of large scale solar power programs. This book is essential reading for anyone involved with solar power project development, and is suitable for both graduate students and professionals.

Recent developments in deep learning have put the field center stage for innovation in software engineering. New algorithms and techniques in academia hold promise for many real world problems, and ne

The complexity of AC motor control lies in the multivariable and nonlinear nature of AC machine dynamics. Recent advancements in control theory now make it possible to deal with long-standing problems

Discover a comprehensive set of tools and techniques for analyzing the impact of uncertainty on large-scale engineered systems. Providing accessible yet rigorous coverage, it showcases the theory through detailed case studies drawn from electric power application problems, including the impact of integration of renewable-based power generation in bulk power systems, the impact of corrupted measurement and communication devices in microgrid closed-loop controls, and the impact of components failures on the reliability of power supply systems. The case studies also serve as a guide on how to tackle similar problems that appear in other engineering application domains, including automotive and aerospace engineering. This is essential reading for academic researchers and graduate students in power systems engineering, and dynamic systems and control engineering.

Lab-on-a-chip, as Ghallab (PhD, electrical engineering, U. of Calgary, Canada) and Badawy (electrical and computer engineering, U. of Calgary, Canada) explain in their introduction, is a device that i

Single page web applications (SPAs) are the next step in the development of web-based software, delivering the sleekness and fluidity of a native desktop application in a browser. SPA development requ

"This book presents current research and analysis on the use of JavaScript and software development to establish new programs intended for the Web, offering an in-depth look at computer and Web progra

Hansen (engineering technology, Southern Utah U.) offers a text to help users learn SolidWorks design engineering software with little or no help. It contains step-by-step instructions, screen shots,

To bridge the gap between reliability engineering and applied mathematics in the field of optimal allocation of resources to increase a system's reliability, Ushakov, a specialist in reliability engin