Machine Learning Applications In Software Engineering

The Volume of “Advances in Machine Learning and Data Science - Recent Achievements and Research Directives” constitutes the proceedings of First International Conference on Latest Advances in Machine

This book elucidates new techniques of chemical technology and their applications in a multidisciplinary approach. It discusses in detail the concepts and methods used in this field. Chemical engineer

"This book captures the latest research and innovations and case studies in the field of software development risk management. A number of tools, methods, processes alongside theoretical concepts have

This will be a comprehensive, multi-contributed reference work that will detail the latest research and developments in biomedical signal processing related to big data medical analysis. It will descr

Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation and

Early childhood teachers continue to seek activities that promote STEM-based learning. But most STEM books focus on science and math, excluding technology and engineering. Creative Investigations

Polymer-based smart materials have become attractive in recent years due to the fact that the polymers are flexible and provide many advantages compared to inorganic smart materials: they are low cost

For engineering students and industry practitioners who are interested in mastering the design, implementation, and experimentation of a communication system, Collins and colleagues use the concep

Using an innovative, real-world approach that makes the research problem and method relevant and valuable to the reader, this book provides a broad overview of research methods used in library and inf

This unique introductory text explains cell functions using the engineering principles of robust devices. Adopting a process-based approach to understanding cell and tissue biology, it describes the molecular and mechanical features that enable the cell to be robust in operating its various components, and explores the ways in which molecular modules respond to environmental signals to execute complex functions. The design and operation of a variety of complex functions are covered, including engineering lipid bilayers to provide fluid boundaries and mechanical controls, adjusting cell shape and forces with dynamic filament networks, and DNA packaging for information retrieval and propagation. Numerous problems, case studies and application examples help readers connect theory with practice, and solutions for instructors and videos of lectures accompany the book online. Assuming only basic mathematical knowledge, this is an invaluable resource for graduate and senior undergraduate stud

Gain a broad foundation of advanced data analytics concepts and discover the recent revolution in databases such as Neo4j, Elasticsearch, and MongoDB. This book discusses how to implement ETL techniqu

No longer confined to medical devices, medical software has become a pervasive technology giving healthcare operators access to clinical information stored in electronic health records and clinical de

This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algo

Machine learning can be a difficult subject if you’re not familiar with the basics. With this book, you'll get a solid foundation of introductory principles used in machine learning with the sta

A comprehensive review of the Finite Element Method (FEM), this book provides the fundamentals together with a wide range of applications in civil, mechanical and aeronautical engineering. It addresse

"This book provides a comprehensive view of all aspects of natural computing with emphasis on its main branches. It explores all main areas of natural computing, namely, nature-inspired computing, met

This book rests upon a smooth integration between image fusion and data mining for information retrieval and content-based mapping in the context of different environmental applications, and it focuse

Deep Learning is now ubiquitous with applied machine learning. All of the technology giants (e.g. Google, Microsoft, Apple, etc.) are focusing on deep learning based techniques for data analytics and

Our four volumes propose to present innovative thematic applications implemented using the open source software QGIS. These are applications that use remote sensing over continental surfaces. The four

These four volumes present innovative thematic applications implemented using the open source software QGIS. These are applications that use remote sensing over continental surfaces. The volumes detai

The self-potential method enables non-intrusive assessment and imaging of disturbances in electrical currents of conductive subsurface materials. It has an increasing number of applications, from mapping fluid flow in the subsurface of the Earth to detecting preferential flow paths in earth dams and embankments. This book provides the first full overview of the fundamental concepts of this method and its applications in the field. It discusses the historical perspective, laboratory investigations undertaken, the inverse problem and seismoelectric coupling, and concludes with the application of the self-potential method to geohazards, water resources and hydrothermal systems. Chapter exercises, online datasets and analytical software enable the reader to put the theory into practice. This book is a key reference for academic researchers and professionals working in the areas of geophysics, environmental science, hydrology and geotechnical engineering. It will also be valuable reading fo

This book constitutes the refereed thoroughly refereed post-workshop proceedings of the 17th International Conference on Web Engineering, ICWE 2017, held in Rome, Italy, in June 2017.The 24 revised fu

These four volumes present innovative thematic applications implemented using the open source software QGIS. These are applications that use remote sensing over continental surfaces. The volumes detai

Microbial engineering is the study of microorganisms and microbial ecology. Microbial engineering has applications in varied areas such as industrial fermentation, microbial degradation, medicine, etc

Nanostructures for the Engineering of Cells, Tissues and Organs showcases recent advances in pharmaceutical nanotechnology, with particular emphasis on tissue engineering, organ and cell applications.

Bio-inspired Algorithms for Engineering builds a bridge between the proposed bio-inspired algorithms developed in the past few decades and their applications in real-life problems, not only in an acad

This volume brings together innovative research, new concepts, and novel developments in the application of new tools for chemical engineers. It presents significant research, reporting on new methodo

Already the focus of much interest for 50 years, the study of foreign language learning anxiety (FLLA) still remains a popular research topic among scholars in Western countries. FLLA is believed to b

This book collects recent theoretical advances and concrete applications of learning automata (LAs) in various areas of computer science, presenting a broad treatment of the computer science field in

This unique text/reference reviews the key principles and techniques in conceptual modelling which are of relevance to specialists in the field of cultural heritage.Information modelling tasks are a v

This two volume set constitutes the refereed post-conference proceedings of the Second International Conference on Machine Learning and Intelligent Communications, MLICOM 2017, held in Weihai, China,

This two volume set constitutes the refereed post-conference proceedings of the Second International Conference on Machine Learning and Intelligent Communications, MLICOM 2017, held in Weihai, China,

"This book explores the field of open source software and processes. This wide area includes the special development process performed by geographically dispersed programmers, community issues like co

Use machine learning and Oracle Business Intelligence Enterprise Edition (OBIEE) as a comprehensive BI solution. This book follows a when-to, why-to, and how-to approach to explain the key steps invol

In a world cluttered with messages competing for people’s attention all of the time, marketers must surface relevant information if they want to capture the attention of their consumers or busin

Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that anti

As far as new web frameworks and libraries go, React is quite the runaway success. It not only deals with the most common problems developers face when building complex apps, it throws in a few additi

Fungal nanotechnology has great prospects for developing new products with industrial, agricultural, medicinal, and consumer applications in a wide range of sectors. The fields of chemical engineering