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Bioinformatics
In this textbook present mathematical models in bioinformatics and they describe the biological problems that inspire the computer science tools used to handle the enormous data sets involved. The first part of the book covers the mathematical and computational methods, while the practical applications are presented in the second part. The mathematical presentation is descriptive and avoids unnecessary formalism, and yet remains clear and precise. Emphasis is laid on motivation through biological problems and cross applications. Each of the four chapters in the first part is accompanied by exercises and problems to support an understanding of the techniques presented. Each of the six chapters of the second part is devoted to some specific application domain: sequence alignment, molecular phylogenetics and coalescence theory, genomics, proteomics, RNA, and DNA microarrays. Each chapter concludes with a problems and projects section, to deepen the reader's understanding and to allow for the design of derived methods. Many of the projects involve publicly available software and/or Web-based bioinformatics depositories. Finally, the book closes with a thorough bibliography, reaching from classic research results to very recent findings, providing many pointers for future research.Overall, this volume is ideally suited for a senior undergraduate or graduate course on bioinformatics, with a strong focus on its mathematical and computer science background.
Beyond the Worst-Case Analysis of Algorithms
There are no silver bullets in algorithm design, and no single algorithmic idea is powerful and flexible enough to solve every computational problem. Nor are there silver bullets in algorithm analysis, as the most enlightening method for analyzing an algorithm often depends on the problem and the application. However, typical algorithms courses rely almost entirely on a single analysis framework, that of worst-case analysis, wherein an algorithm is assessed by its worst performance on any input of a given size. The purpose of this book is to popularize several alternatives to worst-case analysis and their most notable algorithmic applications, from clustering to linear programming to neural network training. Forty leading researchers have contributed introductions to different facets of this field, emphasizing the most important models and results, many of which can be taught in lectures to beginning graduate students in theoretical computer science and machine learning.
Beginning Web Development with Perl
Beginning Perl Web Development: From Novice to Professional introduces you to the world of Perl Internet application development. This book tackles all areas crucial to developing your first web applications and includes a powerful combination of real-world examples coupled with advice. Topics range from serving and consuming RSS feeds, to monitoring Internet servers, to interfacing with e-mail. You'll learn how to use Perl with ancillary packages like Mason and Nagios. Though not version-specific, this book is an ideal read if you have had some grounding in Perl basics and now want to move into the world of web application development. Author Steve Suehring emphasizes the security implications of Perl, drawing on years of experience teaching readers how to think safe, avoid common pitfalls, and produce well-planned, secure code.
Beginning VB .NET Databases : From novice to professional
Visual Basic .NET is a powerful .NET programming language that is often considered the “workhorse” of programming. Further, development in VB .NET accounts for a huge portion of all programming efforts. To understand VB .NET is to meet challenging programming projects head-on. Author Dan Maharry livens the topic with his unique style, and presents you with the skill set you want and need, to enter today's VB .NET programming jobs. This book is an ideal read for beginning and intermediate VB .NET students who want to understand the core of VB .NET and database programming.
Beginning SQL Server 2005 for Developers : From novice to professional
SQL Server 2005 will increase your programming options, productivity, analysis, and database management. If you have some basic knowledge of relational databases and want to start a career as a developer using SQL Server, then this book is your ideal first step. It explains the core jobs and roles for developing a database in both SQL Server 2000 and 2005. This book features practical steps to help you overcome issues youre likely to encounter. You'll learn to use SQL for querying, inserting, updating, and deleting data. You'll also learn how to back up and restore databases for basic administration in SQL Server.
Beginning SQL Server 2005 Express database applications with Visual Basic Express and Visual Web Developer Express : From novice to professional
SQL Server 2005 Express is the database component of Microsoft's Express Suite of products. It is free of charge, inherits many (non-enterprise) features from SQL Server 2005, and comes complete with development and administration tools. As such, it is an ideal database for developers and administrators to use in prototype/evaluation projects. It is also a powerful development platform for database applications on nonprofit websites, e-commerce sites, and in small offices and departments.
Beginning POJOs : Lightweight Java Web development using Plain Old Java Objects in Spring, Hibernate, and Tapestry
Beginning POJOs introduces you to open source lightweight web development using Plain Old Java Objects (POJOs) and the tools and frameworks that enable this. Tier by tier, this book guides you through the construction of complex but lightweight enterprise Java-based web applications. Such applications are centered around several major open source lightweight frameworks, including Spring, Hibernate, Tapestry, and JBoss (including the new lightweight JBoss Seam). This book is ideal if you're new to open source and lightweight Java. You'll learn how to build a complete enterprise Java-based web application from scratch, and how to integrate the different open source frameworks to achieve this goal.
Beginning PHP and PostgreSQL 8 : From novice to professional
Beginning PHP and PostgreSQL 8 delves into some of the most popular open-source web development technologies, the PostgreSQL 8 database server and PHP 5 scripting language. You'll learn to reap the benefits of these core technologies by using them in unison to create dynamic, data-driven web applications. This is an ideal read if you are a web designer, programmer, hobbyist, or novice who wants to create applications with PHP 5 and PostgreSQL 8.
Beginning IntelliJ IDEA : Integrated development environment for Java programming
Shows you how to leverage IntelliJ’s tools to develop clean, efficient Java applications. The last portion of the book focuses on application testing and deployment, and language- and framework- specific guidelines. After reading this book and working through its freely available source code, you'll be up to speed with this powerful IDE for today's Java development. You will: Use IntelliJ IDEA to build Java applications / Set up your IDE and project / Work with source code / Extend your Java application to data science and other kinds of applications / Test and deploy your application and much more
Beginning Apache Struts: From novice to professional
Beginning Apache Struts will provide you a working knowledge of Apache Struts 1.2. This book is ideal for you Java programmers who have some JSP familiarity, but little or no prior experience with Servlet technology. Organized in a condensed tutorial and lab format, the material in this book has been tested in real classroom environments. It takes a step-by-step, hands-on approach to teaching you Struts. The book even previews the next generation of Struts, the Apache Shale. The overall result is that you can quickly apply Struts to your work settings with confidence.
Autonomous vehicles technological trends
The automotive industry has always been synonymous with research and innovation, but nowadays the industry is adding pressure and is establishing the agenda of the researchers from the field. Visions have been provided, and the hardware and the software exist; the only question remaining is: “who is going to deliver”? To answer this question, we encouraged scientists, researchers, industry specialists, and academics to share their vision of autonomous vehicles. What will the platform look like? What kind of hardware and software is most suitable? Who will make the connection between these two interdependent environments (and how), so that in the end the AI will define the process? These are the pressing issues of the current moment, and this Special Issue will help all those interested in the topic to promote their vision and ideas.
Automorphic forms and even unimodular lattices : Kneser neighbors of niemeier lattices
This book includes a self-contained approach of the general theory of quadratic forms and integral Euclidean lattices.It explains how the new advances in the Langlands program mentioned above pave the way for a solution. This study proves to be very rich, leading us to classical themes such as theta series, Siegel modular forms, the triality principle, L-functions and congruences between Galois representations.
Artificial intelligence for customer relationship management : Keeping customers informed
Providing a forum for the exchange of ideas in AI, this book provides a concise yet comprehensive coverage of methodologies, tools, issues, applications, and future trends for professionals, managers, and researchers in the CRM field together with AI and IT professionals.
Artificial Intelligence for Cloud and Edge Computing
Discusses the future possibilities of AI with cloud computing and edge computing. Aims to conduct analyses, implementation and discussion of many tools (of artificial intelligence, machine learning and deep learning and cloud computing, fog computing, and edge computing including concepts of cyber security) for understanding integration of these technologies. Readers can quickly get an overview of these emerging topics and get many ideas of the future of AI with cloud, edge, and in many other areas. Topics include machine and deep learning techniques for Internet of Things based cloud systems; security, privacy and trust issues in AI based cloud and IoT based cloud systems; AI for smart data storage in cloud-based IoT; blockchain based solutions for AI based cloud and IoT based cloud systems.This book is relevent to researchers, academics, students, and professionals. Presents fusion of cloud computing services and AI technology for bringing a significant change in the technology industry; Includes self-assessment problems for increasing knowledge of real world problems, i.e., how AI and cloud/edge computing can change business for the better; Provides innovative results of integrations of AI in other applications such as healthcare, finance, manufacturing, transportation, agriculture, etc.
Applied Deep Learning with TensorFlow 2 : Learn to Implement Advanced Deep Learning Techniques with Python
Focuses on the fundamental concepts and at the same time on practical aspects of implementing neural networks and deep learning for your research projects. This book is designed so that you can focus on the parts you are interested in. You will explore topics as regularization, optimizers, optimization, metric analysis, and hyper-parameter tuning. In addition, you will learn the fundamentals ideas behind autoencoders and generative adversarial networks. All the code presented in the book will be available in the form of Jupyter notebooks which would allow you to try out all examples and extend them in interesting ways. A companion online book is available with the complete code for all examples discussed in the book and additional material more related to TensorFlow and Keras. All the code will be available in Jupyter notebook format and can be opened directly in Google Colab (no need to install anything locally) or downloaded on your own machine and tested locally. You will: Understand the fundamental concepts of how neural networks work / Learn the fundamental ideas behind autoencoders and generative adversarial networks / Be able to try all the examples with complete code examples that you can expand for your own projects / Have available a complete online companion book with examples and tutorials.
An Introduction to Kolmogorov Complexity and Its Applications
Written by two experts in the field, this book is ideal for advanced undergraduate students, graduate students, and researchers in all fields of science. It is self-contained: it contains the basic requirements from mathematics, probability theory, statistics, information theory, and computer science. Included are history, theory, new developments, a wide range of applications, numerous (new) problem sets, comments, source references, and hints to solutions of problems. This is the only comprehensive treatment of the central ideas of Kolmogorov complexity and their applications.
Algorithms and data structures for massive datasets
Learn: Probabilistic sketching data structures for practical problems Choosing the right database engine for your application Evaluating and designing efficient on-disk data structures and algorithms Understanding the algorithmic trade-offs involved in massive-scale systems Deriving basic statistics from streaming data Correctly sampling streaming data Computing percentiles with limited space resources Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications. You'll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data. These effective techniques can be applied to any discipline, from finance to text analysis. Graphics, illustrations, and hands-on industry examples make complex ideas practical to implement in your projects--and there's no mathematical proofs to puzzle over. Work through this one-of-a-kind guide, and you'll find the sweet spot of saving space without sacrificing your data's accuracy. About the Technology Standard algorithms and data structures may become slow--or fail altogether--when applied to large distributed datasets. Choosing algorithms designed for big data saves time, increases accuracy, and reduces processing cost.
Advances in fuzzy logic systems
Fuzzy logic systems have been a hot topic in the scientific and academic community for more than half a century. The idea of making machines behave and make decisions like humans do is astounding. The development and implementation of fuzzy logic systems can be seen in various real physical applications in daily human life. The methods employed using fuzzy logic have resulted in innovative technologies. This book provides insights into understanding the principles and concepts behind the advances of fuzzy logic systems. It presents ideas concerning fuzzy logic systems and their technological applications. The book is arranged into two sections on theories and foundations of fuzzy logic systems and implementations of fuzzy logic systems in service to the community.
Advanced sensors technologies applied in mobile robot
Contains contributions on the latest developments in mobile robotic systems and related research. Various topics with different ideas and applications from mobile robotics have found their place. New ideas are presented for mobile robots that specialise in cleaning floors, power lines and HVAC systems. We also find innovative approaches for navigation path planning using local minima-free potential fields, novel path primitives and/or their parameterisation for minimum-time planning, and various control approaches ranging from visual serving to model predictive and adaptive trajectory tracking, applied to wheeled robots, humanoid manipulators and flying robots. Localisation approaches using LiDAR, motion capture systems, fingerprint-based and biomechanical gait systems are also discussed.
AdvancED Flex Application Development : Building Rich Media X
Many Flex books cover the basics—this book does something different, and goes far further. The authors, leading Flash platform developers at Almer/Blank, working with Adobe User Group communities, are the creators of the Rich Media Exchange (RMX), a social media network for Adobe developers. In covering just how the RMX was built, this book contains all the knowledge you need to build similar large-scale rich Internet applications with Adobe Flex. From the inception of the idea through to deployment, the authors show the techniques needed to plan and build advanced applications. You'll learn how to use forms, styles, validators, video, sound analysis, and framework caching, ensuring you make the most of the features introduced in Flex 3.
