Machine Learning Applications In Software Engineering

In this introduction to vision models and their use in image and video processing applications, prominent authors take on an engineering and signal processing approach. It is intended for an engineeri

"An excellent introductory book" (Review of the First Edition in the International Journal of Electrical Engineering Education) ".it will serve as a reference book in this area for a long time" (Revie

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 volume offers a solid foundation for understanding the most important devices used in the hottest areas of electronic engineering today, from semiconductor fundamentals to state-of-the-art semico

This introductory text covers applied statistics and probability for undergraduate students in engineering and the natural sciences. The book begins at a level that is suitable for those with no prev

"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

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

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

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

MATLAB: An Introduction with Applications is used by more students than any other MATLAB text or reference. This concise book is known for its just-in-time learning approach, giving students the infor

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

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

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

This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and nec

This integrated dictionary includes almost 2,000 terms in both project management and system engineering and software engineering by extension defined in a way that seamlessly integrates these overlap

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

Analyzing how hacks are done, so as to stop them in the futureReverse engineering is the process of analyzing hardware or software and understanding it, without having access to the source code or des

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

This easy-to-use and practical book offers teachers 50 content area learning strategies--each with directions, models and templates to design effective lessons that scaffold learning strategies with l

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

STEM Lesson Essentials" moves beyond the rhetoric and provides knowledge, tools, models, and examples that make STEM a reality of teaching and learning in classrooms." " "-Rodger Bybee, Executive Dire

●Realistic problems familiarize students with the types of challenges they will encounter in industry and graduate research.●Introduction of environmental and safety applications of thermodynamics provides course material required for ABET accreditation.●Web based problems sets. Students can visit the text's web site to download problem sets and solve equations using programs such as MATHCAD®.●SI units are utilized throughout the text

Deep learning is one of today’s hottest fields. This approach to machine learning is achieving breakthrough results in some of today’s highest profile applications, in organizations ranging from Googl

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

"The idea of Kansei engineering was conceived in 1970. Since then, the founder has worked to establish the Kansei engineering methodology and has created more than fifty new product developments. Kans

This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents

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

This textbook is designed for courses in mass transfer operations, a staple in any chemical engineering curriculum. The third edition is updates the 2nd edition to discuss many developing topics in mo