Machine Learning Applications In Software Engineering

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 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 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

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

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

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 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

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

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.

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

"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

The abundance of formats available today provides a rich learning environment but also poses challenges to librarians, teachers, and parents. This new volume in the respected Best Books series guides

Describing recent developments in the engineering and generation of plants as production platforms for biopharmaceuticals, this book includes both vaccines and monoclonal antibodies. It has a particul

"This book describes basic cell engineering methods, emphasizing stem cell applications, and use of the genetically modified stem cells in cell therapy and drug discovery. Together, the chapters intro

"This book provides an opportunity for readers to clearly understand the notion of ontology engineering and the practical aspects of this approach in the domains of two interest areas: Knowledge Manag

In three parts, this book contributes to the advancement of engineering education and that serves as a general reference on digital signal processing. Part I presents the basics of analog and digital

While people are now using peer-to-peer (P2P) applications for various processes, such as file sharing and video streaming, many research and engineering issues still need to be tackled in order to fu

This practical guide to adult literacy development and ESL learning and teaching combines evidence-based pedagogy with a passionate belief in the centrality of the learner and the importance of educat

McGraw-Hill ConnectR is a subscription-based learning service accessible online through your personal computer or tablet.?Choose this option if your instructor will require Connect to be used in the c

This book introduces in a systematic manner a general nonparametric theory of statistics on manifolds, with emphasis on manifolds of shapes. The theory has important and varied applications in medical diagnostics, image analysis, and machine vision. An early chapter of examples establishes the effectiveness of the new methods and demonstrates how they outperform their parametric counterparts. Inference is developed for both intrinsic and extrinsic Fréchet means of probability distributions on manifolds, then applied to shape spaces defined as orbits of landmarks under a Lie group of transformations - in particular, similarity, reflection similarity, affine and projective transformations. In addition, nonparametric Bayesian theory is adapted and extended to manifolds for the purposes of density estimation, regression and classification. Ideal for statisticians who analyze manifold data and wish to develop their own methodology, this book is also of interest to probabilists, mathematicia

Introducing graduate students in physics, optics, materials science and electrical engineering to surface plasmons, this book also covers guided modes at planar interfaces of metamaterials with negative refractive index. The physics of localized and propagating surface plasmons, on planar films, gratings, nanowires and nanoparticles, is developed using both analytical and numerical techniques. Guided modes at the interfaces between materials with any combination of positive or negative permittivity and permeability are analyzed in a systematic manner. Applications of surface plasmon physics are described, including near-field transducers in heat-assisted magnetic recording and biosensors. Resources at www.cambridge.org/9780521767170 include Mathematica code to generate figures from the book, color versions of many figures, and extended discussion of topics such as vector diffraction theory.

One of the key advances in photonic technology in recent years is the development of vertical-cavity surface-emitting lasers, or VCSELs. These devices have a huge range of potential applications in areas such as communications, printing, and optical switching. This book, first published in 1999, provides a clear insight into the physics of VCSELs, as well as describing details of their fabrication and applications. All of the book's contributors are at the forefront of VCSEL research and development. Together they provide complete and coherent coverage of the current state-of-the-art. The opening chapters cover VCSEL design, emission from microcavities, growth, fabrication, and characterization. These are followed by chapters on long and short-wavelength VCSELs, optical data links, and free space optical processing. The book will be of great interest to graduate students and researchers in electrical engineering, applied physics, and materials science. It will also be an excellent refe

The majority of all knowledge concerning atoms, molecules, and solids has been derived from applications of group theory. Taking a unique, applications-oriented approach, this book gives readers the tools needed to analyze any atomic, molecular, or crystalline solid system. Using a clearly defined, eight-step program, this book helps readers to understand the power of group theory, what information can be obtained from it, and how to obtain it. The book takes in modern topics, such as graphene, carbon nanotubes and isotopic frequencies of molecules, as well as more traditional subjects: the vibrational and electronic states of molecules and solids, crystal field and ligand field theory, transition metal complexes, space groups, time reversal symmetry, and magnetic groups. With over 100 end-of-chapter exercises, this book is invaluable for graduate students and researchers in physics, chemistry, electrical engineering and materials science.

The 18 papers in this collection explore machine learning techniques for extracting information from large amounts of data with several variables. Six papers from Spanish universities review Bayesian

Remarkable advances in computation and data storage and the ready availability of huge data sets have been the keys to the growth of the new disciplines of data mining and machine learning, while the

Praised by parents, embraced by educators, our complete Learning to Get Along series is now available in one kid-friendly software package (for Windows only). Teachers can choose which books to make a

Reinforcement learning (RL) and adaptive dynamic programming (ADP) has been one of the most critical research fields in science and engineering for modern complex systems. This book describes the late

This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights and detailed descriptions of some of th

Computer scientists describe the current state and trends in big data analytics, its technologies, and applications. Among their topics are a brief review on deep learning and types of implementati

Much research has focused on the basic cellular and molecular biological aspects of stem cells. Much of this research has been fueled by their potential for use in regenerative medicine applications,

Recent advances in genome editing tools using endonucleases such as TALENs, ZFNs, and CRISPRs, combined with genomic engineering technologies, have opened up a wide range of opportunities from applications in the basic sciences and disease biology research, to the potential for clinical applications and the development of new diagnostic tools. This complete guide to endonuclease-based genomic engineering gives readers a thorough understanding of this rapidly expanding field. Chapters cover the discovery, basic science, and application of these techniques, focusing particularly on their potential relevance to the treatment of cancer, and cardiovascular and immunological disease. The final section discusses the legal and ethical issues which accompany the technology. Providing authoritative coverage of the potential that genome editing and engineering have, this is an ideal reference for researchers and graduate students and those working in the biotechnology and pharmaceutical industrie

One of the greatest challenges facing the computational engineering community is to extend the success of computational mechanics to fields outside traditional engineering, in particular to biology, t

Covers the latest research in green chemistry principles for new, environmentally friendly processes in the fields of engineering, science and technology.