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Computer Modeling Applications for Environmental Engineers
by Isam Mohammed Abdel-Magid Ahmed Mohammed Isam Mohammed Abdel-MagidComputer Modeling Applications for Environmental Engineers in its second edition incorporates changes and introduces new concepts using Visual Basic.NET, a programming language chosen for its ease of comprehensive usage. This book offers a complete understanding of the basic principles of environmental engineering and integrates new sections that address Noise Pollution and Abatement and municipal solid-waste problem solving, financing of waste facilities, and the engineering of treatment methods that address sanitary landfill, biochemical processes, and combustion and energy recovery. Its practical approach serves to aid in the teaching of environmental engineering unit operations and processes design and demonstrates effective problem-solving practices that facilitate self-teaching. A vital reference for students and professional sanitary and environmental engineers this work also serves as a stand-alone problem-solving text with well-defined, real-work examples and explanations.
The Deep Learning with Keras Workshop - Third Edition: Solve Complex Real-life Problems With The Simplicity Of Keras
by Mahla Abdolahnejad Matthew MoocarmeIf you know the basics of data science and machine learning, and want to get started with advanced machine learning technologies, such as artificial neural networks and deep learning, this workshop makes it easy. To grasp the concepts explained in this deep learning book more effectively, prior experience in Python programming and some familiarity with statistics and logistic regression are a must.
The Cloud Adoption Playbook: Proven Strategies for Transforming Your Organization with the Cloud
by Moe Abdula Ingo Averdunk Roland Barcia Kyle Brown Ndu EmuchayThe essential roadmaps for enterprise cloud adoption As cloud technologies continue to challenge the fundamental understanding of how businesses work, smart companies are moving quickly to adapt to a changing set of rules. Adopting the cloud requires a clear roadmap backed by use cases, grounded in practical real-world experience, to show the routes to successful adoption. The Cloud Adoption Playbook helps business and technology leaders in enterprise organizations sort through the options and make the best choices for accelerating cloud adoption and digital transformation. Written by a team of IBM technical executives with a wealth of real-world client experience, this book cuts through the hype, answers your questions, and helps you tailor your cloud adoption and digital transformation journey to the needs of your organization. This book will help you: Discover how the cloud can fulfill major business needs Adopt a standardized Cloud Adoption Framework and understand the key dimensions of cloud adoption and digital transformation Learn how cloud adoption impacts culture, architecture, security, and more Understand the roles of governance, methodology, and how the cloud impacts key players in your organization. Providing a collection of winning plays, championship advice, and real-world examples of successful adoption, this playbook is your ultimate resource for making the cloud work. There has never been a better time to adopt the cloud. Cloud solutions are more numerous and accessible than ever before, and evolving technology is making the cloud more reliable, more secure, and more necessary than ever before. Don’t let your organization be left behind! The Cloud Adoption Playbook gives you the essential guidance you need to make the smart choices that reduce your organizational risk and accelerate your cloud adoption and digital transformation.
Excel Best Practices for Business
by Loren AbdulezerHow to create, manage, and validate spreadsheets that will stand up to scrutiny and provide a clear and accurate picture of your enterprise.
Networked Systems
by Parosh Aziz Abdulla Carole Delporte-GalletThis book constitutes the refereed post-proceedings of the 4th International Conference on Networked Systems, NETYS 2016, held in Marrakech, Morocco, in May 2016. The 22 full papers and 11 short papers presented together with 19 poster abstracts were carefully reviewed and selected from 121 submissions. They report on best practices and novel algorithms, results and techniques on networked systems and cover topics such as multi-core architectures, concurrent and distributed algorithms, parallel/concurrent/distributed programming, distributed databases, cloud systems, networks, security, and formal verification.
Machine Learning in Team Sports: Performance Analysis and Talent Identification in Beach Soccer & Sepak-takraw (SpringerBriefs in Applied Sciences and Technology)
by Mohamad Razali Abdullah Rabiu Muazu Musa Anwar P.P. Abdul Majeed Norlaila Azura KosniThis brief highlights the application of performance analysis tools in data acquisition, and various machine learning algorithms for evaluating team performance as well as talent identification in beach soccer and sepak takraw. Numerous performance indicators and human performance parameters are considered based on their relevance to each sport. The findings presented here demonstrate that the key performance indicators as well as human performance parameters can be used in the future evaluation of team performance as well as talent identification in these sports. Accordingly, they offer a valuable resource for coaches, club managers, talent identification experts, performance analysts and other relevant stakeholders involved in performance assessments.
Paraconsistent Intelligent-Based Systems
by Jair Minoro AbeThis book presents some of the latest applications of new theories based on the concept of paraconsistency and correlated topics in informatics, such as pattern recognition (bioinformatics), robotics, decision-making themes, and sample size. Each chapter is self-contained, and an introductory chapter covering the logic theoretical basis is also included. The aim of the text is twofold: to serve as an introductory text on the theories and applications of new logic, and as a textbook for undergraduate or graduate-level courses in AI. Today AI frequently has to cope with problems of vagueness, incomplete and conflicting (inconsistent) information. One of the most notable formal theories for addressing them is paraconsistent (paracomplete and non-alethic) logic.
A Paraconsistent Decision-Making Method (Smart Innovation, Systems and Technologies #87)
by Jair Minoro Abe Fábio Romeu CarvalhoThis book presents a novel decision-making support system based on paraconsistent annotated evidential logic, which directly handles imprecise, incomplete and contradictory data. The authors offer insights into areas such as engineering and biomedicine, as well as related fields. Decision analysis is useful in making choices when the consequences of actions are uncertain, like in business administration, where it assists in making investment decisions, and in health care, Decision analysis is also valuable when the possible actions may lead to conflicting consequences. A fundamental tenet of decision analysis is that even though the available information is incomplete, a decision must be made. Thus, analyses often contain assumptions about or estimates of missing data.The contribution that this method can provide to professionals and companies has significant relevance in terms of the impact of information systems on productivity and quality of the companies; the lack of training companies for proper planning and management of information systems; and the need for interdisciplinary treatment of several sectors of almost all related scientific areas.This book is a valuable resource for professionals seeking a competitive edge in their performance.
Support Vector Machines for Pattern Classification
by Shigeo AbeA guide on the use of SVMs in pattern classification, including a rigorous performance comparison of classifiers and regressors. The book presents architectures for multiclass classification and function approximation problems, as well as evaluation criteria for classifiers and regressors. Features: Clarifies the characteristics of two-class SVMs; Discusses kernel methods for improving the generalization ability of neural networks and fuzzy systems; Contains ample illustrations and examples; Includes performance evaluation using publicly available data sets; Examines Mahalanobis kernels, empirical feature space, and the effect of model selection by cross-validation; Covers sparse SVMs, learning using privileged information, semi-supervised learning, multiple classifier systems, and multiple kernel learning; Explores incremental training based batch training and active-set training methods, and decomposition techniques for linear programming SVMs; Discusses variable selection for support vector regressors.
Data Manipulation with R
by Jaynal AbedinThis book is a step-by step, example-oriented tutorial that will show both intermediate and advanced users how data manipulation is facilitated smoothly using R. This book is aimed at intermediate to advanced level users of R who want to perform data manipulation with R, and those who want to clean and aggregate data effectively. Readers are expected to have at least an introductory knowledge of R and some basic administration work in R, such as installing packages and calling them when required.
Modern R Programming Cookbook
by Jaynal AbedinRecipes for emerging developers in R programming and data scientists to simplify their R programming capabilities About This Book • Develop strategies to speed up your R code • Tackle programming problems and explore both functional and object-oriented programming techniques • Learn how to address the core problems of programming in R with the most popular R packages for common tasks Who This Book Is For This book is for developers who would like to enhance the R programming skills. Basic knowledge of R programming is assumed. What You Will Learn • Install R and its various IDE for a given platform along with installing libraries from different repositories and version control • Learn about basic data structures in R and how to work with them • Write customized R functions and handle recursions, exceptions in R environments • Create the data processing task as a step by step computer program and execute using dplyr • Extract and process unstructured text data • Interact with database management system to develop statistical applications • Formulate and implement parallel processing in R In Detail R is a powerful tool for statistics, graphics, and statistical programming. It is used by tens of thousands of people daily to perform serious statistical analyses. It is a free, open source system whose implementation is the collective accomplishment of many intelligent, hard-working people. There are more than 2,000 available add-ons, and R is a serious rival to all commercial statistical packages. The objective of this book is to show how to work with different programming aspects of R. The emerging R developers and data science could have very good programming knowledge but might have limited understanding about R syntax and semantics. Our book will be a platform develop practical solution out of real world problem in scalable fashion and with very good understanding. You will work with various versions of R libraries that are essential for scalable data science solutions. You will learn to work with Input / Output issues when working with relatively larger dataset. At the end of this book readers will also learn how to work with databases from within R and also what and how meta programming helps in developing applications. Style and approach This book will be a companion for R programmer and emerging developers in R programming areas. This book will contain recipes related to advanced R programming which will enable users to solve complex problems efficiently.
Data Manipulation with R - Second Edition
by Jaynal Abedin Kishor Kumar DasThis book is for all those who wish to learn about data manipulation from scratch and excel at aggregating data effectively. It is expected that you have basic knowledge of R and have previously done some basic administration work with R.
R Graphs Cookbook Second Edition
by Jaynal Abedin Hrishi V. MittalTargeted at those with an existing familiarity with R programming, this practical guide will appeal directly to programmers interested in learning effective data visualization techniques with R and a wide-range of its associated libraries.
Model and Data Engineering
by Alberto Abelló Ladjel Bellatreche Yassine Ouhammou Mirjana IvanovicThis book constitutes the refereed proceedings of the 7th International Conference on Model and Data Engineering, MEDI 2017, held in Barcelona, Spain, in October 2017. The 20 full papers and 7 short papers presented together with 2 invited talks were carefully reviewed and selected from 69 submissions. The papers are organized in topical sections on domain specific languages; systems and software assessments; modeling and formal methods; data engineering; data exploration and exp loitation; modeling heterogeneity and behavior; model-based applications; and ontology-based applications.
App Inventor
by Hal Abelson David Wolber Ellen Spertus Liz LooneyYes, you can create your own apps for Android phones--and it's easy to do. This extraordinary book introduces App Inventor for Android, a powerful visual tool that lets anyone build apps for Android-based devices. Learn the basics of App Inventor with step-by-step instructions for more than a dozen fun projects, such as creating location-aware apps, data storage, and apps that include decision-making logic. The second half of the book features an Inventor's manual to help you understand the fundamentals of app building and computer science. App Inventor makes an excellent textbook for beginners and experienced developers alike. Design games and other apps with 2D graphics and animation Create custom multi-media quizzes and study guides Create a custom tour of your city, school, or workplace Use an Android phone to control a LEGO® MINDSTORMS® NXT robot Build location-aware apps by working with your phone's sensors Explore apps that incorporate information from the Web Learn computer science as you build your apps
App Inventor
by Hal Abelson David Wolber Ellen Spertus Liz LooneyYes, you can create your own apps for Android phones—and it's easy to do. This extraordinary book introduces App Inventor for Android, a powerful visual tool that lets anyone build apps for Android-based devices. Learn the basics of App Inventor with step-by-step instructions for more than a dozen fun projects, such as creating location-aware apps, data storage, and apps that include decision-making logic.The second half of the book features an Inventor's manual to help you understand the fundamentals of app building and computer science. App Inventor makes an excellent textbook for beginners and experienced developers alike.Design games and other apps with 2D graphics and animationCreate custom multi-media quizzes and study guidesCreate a custom tour of your city, school, or workplaceUse an Android phone to control a LEGO® MINDSTORMS® NXT robotBuild location-aware apps by working with your phone’s sensorsExplore apps that incorporate information from the WebLearn computer science as you build your apps
App Inventor 2: Create Your Own Android Apps
by Hal Abelson David Wolber Ellen Spertus Liz LooneyYes, you can create your own apps for Android devices—and it’s easy to do. This extraordinary book introduces you to App Inventor 2, a powerful visual tool that lets anyone build apps. Learn App Inventor basics hands-on with step-by-step instructions for building more than a dozen fun projects, including a text answering machine app, a quiz app, and an app for finding your parked car!The second half of the book features an Inventor’s Manual to help you understand the fundamentals of app building and computer science. App Inventor 2 makes an excellent textbook for beginners and experienced developers alike.Use programming blocks to build apps—like working on a puzzleCreate custom multi-media quizzes and study guidesDesign games and other apps with 2D graphics and animationMake a custom tour of your city, school, or workplaceControl a LEGO® MINDSTORMS® NXT robot with your phoneBuild location-aware apps by working with your phone’s sensorsExplore apps that incorporate information from the Web
Photography for Kids!
by Sandra Abend Michael EbertDigitization is the biggest advance in the history of photography. While some seasoned photographers may still be wary of the filmless technique, unbiased children have easily found their way into the digital world. Children are excited by the instant gratification of capturing an image and immediately seeing the result. With today's digital cameras, what used to be an expensive and disappointing process is now as easy as pie. Enthusiastic and confident children are able to handle digital cameras with remarkable skill. The instant feedback motivates them to continue exploring, and soon they are able to create small masterpieces full of inspiration and fantasy. Photography for Kids introduces children between the ages of 8 and 14 to the world of photography. Technical concepts--like how a digital camera actually works--are explained in a way that is easy for children to understand. The book emphasizes creativity and presents techniques for capturing exciting images.
Moodle for Mobile Learning
by Mark AberdourA guide with practical examples that gives you hands-on knowledge in creating learning environments for Mobile devices using Moodle, while also empowering you to create your own effective mlearning course designs."Moodle for Mobile Learning" is primarily aimed at Moodle course practitioners - teachers, tutors, instructors, and learning and development professionals. It does not require you to have an in-depth knowledge about any mobile technologies. It is for anyone who has the desire to deliver great courses that allow their learners to interact using the devices in their pockets.
PHP Team Development
by Samisa AbeysingheThis book looks into PHP projects mainly from an enterprise view. The author's experience enables him to give you an overall picture of PHP projects and discuss factors that contribute to project success in a clear and precise manner. Each chapter focuses specifically on how the techniques covered will make team work easier. Examples (rather than abstract best practices) are used to illustrate the practical benefits. This book is for PHP developers who work in teams on complex PHP projects. With this book in hand, it is easy to discover the secrets of successful PHP projects that meet today's complex enterprise demands. This book can also be useful for project managers who are looking to be successful with PHP projects. Those who are stakeholders in PHP projects, such as clients, or those who want to sponsor PHP projects, can also learn what to expect and how to deal with a PHP project team with this book.
RESTful PHP Web Services
by Samisa AbeysingheThe book explains the basic concepts associated with the REST architectural style, but the emphasis is on creating PHP code for consuming and creating RESTful services in PHP. There is plenty of example PHP code to illustrate the concepts, with careful explanations of how the code works. This book targets PHP developers who want to build or make use of RESTful web services, or explore the options available to them in PHP. You will need to know the basics of PHP development, but no knowledge of REST is assumed, nor any knowledge of creating web services generally.
High Order Nonlinear Numerical Schemes for Evolutionary PDEs
by Rémi Abgrall Héloïse Beaugendre Pietro Marco Congedo Cécile Dobrzynski Vincent Perrier Mario RicchiutoThis book collects papers presented during the European Workshop on High Order Nonlinear Numerical Methods for Evolutionary PDEs (HONOM 2013) that was held at INRIA Bordeaux Sud-Ouest, Talence, France in March, 2013. The central topic is high order methods for compressible fluid dynamics. In the workshop, and in this proceedings, greater emphasis is placed on the numerical than the theoretical aspects of this scientific field. The range of topics is broad, extending through algorithm design, accuracy, large scale computing, complex geometries, discontinuous Galerkin, finite element methods, Lagrangian hydrodynamics, finite difference methods and applications and uncertainty quantification. These techniques find practical applications in such fields as fluid mechanics, magnetohydrodynamics, nonlinear solid mechanics, and others for which genuinely nonlinear methods are needed.
Gradle Essentials
by Abhinandan Kunal DabirMaster the fundamentals of Gradle using real-world projects with this quick and easy-to-read guide About This Book * Write beautiful build scripts for various types of projects effortlessly * Become more productive by harnessing the power and elegance of the Gradle DSL * Learn how to use Gradle quickly and effectively with this step-by-step guide Who This Book Is For This book is for Java and other JVM-based language developers who want to use Gradle or are already using Gradle on their projects. No prior knowledge of Gradle is required, but some familiarity with build-related terminologies and an understanding of the Java language would help. What You Will Learn * Master the Gradle DSL by identifying the building blocks * Learn just enough Groovy for Gradle * Set up tests and reports for your projects to make them CI ready * Create library, stand-alone, and web projects * Craft multi-module projects quickly and efficiently * Migrate existing projects to a modern Gradle build * Extract common build logic into plugins * Write builds for languages like Java, Groovy, and Scala In Detail Gradle is an advanced and modern build automation tool. It inherits the best elements of the past generation of build tools, but it also differs and innovates to bring terseness, elegance, simplicity, and the flexibility to build. Right from installing Gradle and writing your first build file to creating a fully-fledged multi-module project build, this book will guide you through its topics in a step-by-step fashion. You will get your hands dirty with a simple Java project built with Gradle and go on to build web applications that are run with Jetty or Tomcat. We take a unique approach towards explaining the DSL using the Gradle API, which makes the DSL more accessible and intuitive. All in all, this book is a concise guide to help you decipher the Gradle build files, covering the essential topics that are most useful in real-world projects. With every chapter, you will learn a new topic and be able to readily implement your build files. Style and approach This step-by-step guide focuses on being productive with every chapter. When required, topics are explained in-depth to give you a good foundation of the Gradle fundamentals. The book covers most aspects of builds required for conventional JVM-based projects, and when necessary, points you towards the right resources.
Deformable Registration Techniques for Thoracic CT Images: An Insight into Medical Image Registration
by Ali Imam Abidi S.K. SinghThis book focuses on novel approaches for thoracic computed tomography (CT) image registration and determination of respiratory motion models in a range of patient scenarios. It discusses the use of image registration processes to remove the inconsistencies between medical images acquired using different devices. In the context of comparative research and medical analysis, these methods are of immense value in image registration procedures, not just for thoracic CT images, but for all types of medical images in multiple modalities, and also in establishing a mean respiration motion model. Combined with advanced techniques, the methods proposed have the potential to advance the field of computer vision and help improve existing methods. The book is a valuable resource for those in the scientific community involved in modeling respiratory motion for a large number of people.
Optimization Techniques in Computer Vision
by Mongi A. Abidi Andrei V. Gribok Joonki PaikThis book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function. Unconstrained optimization problems have been intensively studied, and many algorithms and tools have been developed to solve them. Most practical optimization problems, however, arise with a set of constraints. Typical examples of constraints include: (i) pre-specified pixel intensity range, (ii) smoothness or correlation with neighboring information, (iii) existence on a certain contour of lines or curves, and (iv) given statistical or spectral characteristics of the solution. Regularized optimization is a special method used to solve a class of constrained optimization problems. The term regularization refers to the transformation of an objective function with constraints into a different objective function, automatically reflecting constraints in the unconstrained minimization process. Because of its simplicity and efficiency, regularized optimization has many application areas, such as image restoration, image reconstruction, optical flow estimation, etc. Optimization plays a major role in a wide variety of theories for image processing and computer vision. Various optimization techniques are used at different levels for these problems, and this volume summarizes and explains these techniques as applied to image processing and computer vision.