Machine Learning Applications In Software Engineering

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

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

Hanna, an engineer who heads a consulting company in RF (radio frequency) engineering and has taught electrical engineering at universities, overviews the applications of RF linear accelerators and th

The integration of virtual engineering methods into 3D-CAD based development processes in the automotive industry leads to increased requirements, concerning the software packages as well as regarding

"This book brings together theoretical and technical concepts of intelligent embedded control systems and their use in hardware and software architectures by highlighting formal modeling, execution mo

This book deals with advanced fluid flow methods for design and analysis of engineering systems. Panel methods employing surface distributions of source and vortex singularities based on the solution of boundary integral equations have been extensively used for modelling external and internal aerodynamic flows. Part 1 describes the surface vorticity method and illustrates applications of this technique over a wide range of engineering problems in aerodynamics and turbo-machines, including lifting aerofoils and cascades, mixed-flow and rotating cascades for fans, pumps or turbines, meridional flows in turbo-machines, flow past axisymmetric bodies, ducts and ducted propellers or fans. Part 2 extends surface vorticity modelling to the fairly new CFM field of vortex dynamics or vortex cloud theory, including foundation chapters on convection and viscous diffusion by the random walk technique. Vortex cloud methods are developed, again from first principles, to deal with shear layers, bounda

Introduces Novel Applications for Solving Neutron Transport EquationsWhile deemed nonessential in the past, fractional calculus is now gaining momentum in the science and engineering community. Variou

Written primarily for students in applied sciences and engineering, this textbook on differential-algebraic equations (DAEs) covers modeling issues and analytical properties, especially in regards to

In recent decades, Polyoxmethylene (POM) has been positioned on the market as a high performance engineering polymer with increasing worldwide demand, particularly in the automotive, electronics, medi

Glycopolymers are important for cell signalling, recognition pathways, and their role in the immune system. They are gaining attention for new applications in tissue engineering and drug delivery. Gly

With a strong foundation in material science and electronic engineering, this book describes the fundamentals and principles in the field of energy harvesting. Using a systems approach from overall sy

In spite of the potential use of nanomaterials as tissue engineering devices, implants, biosensors, drug delivery devices, etc., there has yet to be a compilation of the risks associated with the in

Macroporous polymers are rapidly becoming the material of choice for many tissue engineering, bioseparation, and bioprocessing applications. However, while important information is scattered about in

Boundary Element Methods have become a major numerical tool in scientific and engineering problem-solving, with particular applications to numerical computations and simulations of partial differentia

Addressed to senior undergraduate/graduate students in math, engineering, computer science, physics, and other areas studying discrete transforms, this text takes a more practical than abstract approa

"This book examines the latest developments in intelligent system engineering being used across industries with an emphasis on transportation, aviation, and medicine and focusing on the latest trends

Drawing on the authors’ use of the Hadamard-related theory in several successful engineering projects, Theory and Applications of Higher-Dimensional Hadamard Matrices, Second Edition explores th

Stochastic analysis has a variety of applications to biological systems as well as physical and engineering problems, and its applications to finance and insurance have bloomed exponentially in recent

There is a renaissance that is occurring in chemical and process engineering, and it is crucial for today’s scientists, engineers, technicians, and operators to stay current. With so many changes ove

This comprehensive and unique book is intended to cover the vast and fast-growing field of electrical and electronic materials and their engineering in accordance with modern developments. Basic and p

These proceedings are based on the 2013 International Conference on Future Information & Communication Engineering (ICFICE 2013), which will be held at Shenyang in China from June 24-26, 2013. The

This book is in honor of the contribution of Professor Xin Jiang (Institute of Materials Engineering, University of Siegen, Germany) to diamond. The objective of this book is to familiarize readers wi

Modern astronomical research is beset with a vast range of statistical challenges, ranging from reducing data from megadatasets to characterizing an amazing variety of variable celestial objects or testing astrophysical theory. Linking astronomy to the world of modern statistics, this volume is a unique resource, introducing astronomers to advanced statistics through ready-to-use code in the public domain R statistical software environment. The book presents fundamental results of probability theory and statistical inference, before exploring several fields of applied statistics, such as data smoothing, regression, multivariate analysis and classification, treatment of nondetections, time series analysis, and spatial point processes. It applies the methods discussed to contemporary astronomical research datasets using the R statistical software, making it invaluable for graduate students and researchers facing complex data analysis tasks. A link to the author's website for this book ca

Symposium II, 'Ion Beams - New Applications from Mesoscale to Nanoscale', was held at the 2011 MRS Spring Meeting, April 25–29, in San Francisco, California. This symposium welcomed presentations on ion-beam engineering and characterization of materials properties, structure, topography and functionality, spanning dimensions from the mesoscale to the nanoscale. While the unique capabilities of ion-beam techniques in the diverse emerging fields of nanoscience and nanotechnology are fast becoming critical for many new applications, the flexibility of ion-beam techniques now enables the development of tools that can integrate tailoring of nanoscale patterns and structures with unique in-situ imaging and analysis. This recent evolution has energized new programs, both basic and applied, in fast-developing areas ranging over advanced semiconductor integration, information storage, sensors, plasmonics, molecular engineering, biomaterials and many aspects of the development of alternative ene

From the moment they open Advanced AC Electronics: Principles and Applications, readers will become actively involved in learning how to apply AC circuit techniques to electronics circuits that are i

"This book serves as a forum for the improvement of online education for schools and teachers planning to implement, or currently engaged in, e-learning. Focusing on online schooling and curriculum pr

Cellular Nonlinear/neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed and are paving the way to an analog computing industry. This unique undergraduate level textbook includes many examples and exercises, including CNN simulator and development software accessible via the Internet. It is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. Although its prime focus is on visual computing, the concepts and techniques described in the book will be of great interest to those working in other areas of research including modeling of biological, chemical and physical processes. Leon Chua, co-inventor of the CNN, and Tamás Roska are both highly respected pioneers in the field.

Written from an engineering standpoint, this book provides the theoretical background and physical insight needed to understand new and future developments in the modeling and design of n- and p-MOS nanoscale transistors. A wealth of applications, illustrations and examples connect the methods described to all the latest issues in nanoscale MOSFET design. Key areas covered include: • Transport in arbitrary crystal orientations and strain conditions, and new channel and gate stack materials • All the relevant transport regimes, ranging from low field mobility to quasi-ballistic transport, described using a single modeling framework • Predictive capabilities of device models, discussed with systematic comparisons to experimental results

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.

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

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