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Computer Systems Architecture

Computer Systems Architecture

Computer Systems Architecture provides IT professionals and students with the necessary understanding of computer hardware. It addresses the ongoing issues related to computer hardware and discusses the solutions supplied by the industry. The book describes trends in computing solutions that led to the current available infrastructures tracing the initial need for computers to recent concepts such as the Internet of Things. It covers computers’ data representation explains how computer architecture and its underlying meaning changed over the years and examines the implementations and performance enhancements of the central processing unit (CPU). It then discusses the organization hierarchy and performance considerations of computer memory as applied by the operating system and illustrates how cache memory significantly improves performance. The author proceeds to explore the bus system algorithms for ensuring data integrity input and output (I/O) components methods for performing I/O various aspects relevant to software engineering and nonvolatile storage devices such as hard drives and technologies for enhancing performance and reliability. He also describes virtualization and cloud computing and the emergence of software-based systems’ architectures. Accessible to software engineers and developers as well as students in IT disciplines this book enhances readers’ understanding of the hardware infrastructure used in software engineering projects. It enables readers to better optimize system usage by focusing on the principles used in hardware systems design and the methods for enhancing performance.

GBP 44.99
1

Formal Methods in Computer Science

Formal Methods in Computer Science

Formal Methods in Computer Science gives students a comprehensive introduction to formal methods and their application in software and hardware specification and verification. The first part introduces some fundamentals in formal methods including set theory functions finite state machines and regular expressions. The second part focuses on logic a powerful formal language in specifying systems properties. It covers propositional logic predicate logic temporal logic and model checking. The third part presents Petri nets the most popular formal language in system behavior modeling. In additional to regular Petri nets this part also examines timed Petri nets and high-level Petri nets. The textbook is ideal for undergraduate or graduate courses in computer engineering software engineering computer science and information technology programs. Parts of the book are useful reading material in undergraduate computer course and as a reference guide for students researching the area of formal system specification and validation. Features * Introduces a comprehensive yet manageable set of formal techniques for computer science students * Stresses real-world application value of each formal technique * Offers a good set of exercises which help students better understand the presented techniques * Also offers a prepared source code for downloading and non-commercial use

GBP 69.99
1

Probability and Statistics for Computer Scientists

Probability and Statistics for Computer Scientists

Praise for the Second Edition: The author has done his homework on the statistical tools needed for the particular challenges computer scientists encounter. [He] has taken great care to select examples that are interesting and practical for computer scientists. . The content is illustrated with numerous figures and concludes with appendices and an index. The book is erudite and … could work well as a required text for an advanced undergraduate or graduate course. Computing Reviews Probability and Statistics for Computer Scientists Third Edition helps students understand fundamental concepts of Probability and Statistics general methods of stochastic modeling simulation queuing and statistical data analysis; make optimal decisions under uncertainty; model and evaluate computer systems; and prepare for advanced probability-based courses. Written in a lively style with simple language and now including R as well as MATLAB this classroom-tested book can be used for one- or two-semester courses. Features: Axiomatic introduction of probability Expanded coverage of statistical inference and data analysis including estimation and testing Bayesian approach multivariate regression chi-square tests for independence and goodness of fit nonparametric statistics and bootstrap Numerous motivating examples and exercises including computer projects Fully annotated R codes in parallel to MATLAB Applications in computer science software engineering telecommunications and related areas In-Depth yet Accessible Treatment of Computer Science-Related TopicsStarting with the fundamentals of probability the text takes students through topics heavily featured in modern computer science computer engineering software engineering and associated fields such as computer simulations Monte Carlo methods stochastic processes Markov chains queuing theory statistical inference and regression. It also meets the requirements of the Accreditation Board for Engineering and Technology (ABET). About the Author Michael Baron is David Carroll Professor of Mathematics and Statistics at American University in Washington D. C. He conducts research in sequential analysis and optimal stopping change-point detection Bayesian inference and applications of statistics in epidemiology clinical trials semiconductor manufacturing and other fields. M. Baron is a Fellow of the American Statistical Association and a recipient of the Abraham Wald Prize for the best paper in Sequential Analysis and the Regents Outstanding Teaching Award. M. Baron holds a Ph. D. in statistics from the University of Maryland. In his turn he supervised twelve doctoral students mostly employed on academic and research positions.

GBP 99.99
1

Applied Computer Vision and Soft Computing with Interpretable AI

Applied Computer Vision and Soft Computing with Interpretable AI

This reference text presents the knowledge base of computer vision and soft computing techniques with their applications for sustainable developments. Features: Covers a variety of deep learning architectures useful for computer vision tasks Demonstrates the use of different soft computing techniques and their applications for different computer vision tasks Highlights the unified strengths of hybrid techniques based on deep learning and soft computing taken together that give the interpretable adaptive and optimized solution to a given problem Addresses the different issues and further research opportunities in computer vision and soft computing Describes all the concepts with practical examples and case studies with appropriate performance measures that validate the applicability of the respective technique to a certain domain Considers recent real word problems and the prospective solutions to these problems This book will be useful to researchers students faculty and industry personnel who are eager to explore the power of deep learning and soft computing for different computer vision tasks. | Applied Computer Vision and Soft Computing with Interpretable AI

GBP 89.99
1

Cyclic and Computer Generated Designs

Cyclic and Computer Generated Designs

Cyclic and Computer Generated Designs is a much-expanded and updated version of the well-received monograph Cyclic Designs . The book is primarily concerned with the construction and analysis of designs with a number of different blocking structures such as revolvable designs row-column designs and Latinized designs. It describes how appropriate and efficient designs can be constructed through the use of cyclic methods and recently developed computer algorithms. In this new edition a greater emphasis is given to the construction and properties of resolvable block and row-column designs. A general theory for single fractional and multiple replicate factorial designs is presented. Cyclic methods are used to construct most of these designs. Some new work on the use of computer algorithms for setting out factorial experiments in row-column designs is described. All the designs discussed can be analyzed using the generalized least squares theory given in the book. Two experiments with analyses are described in detail.

GBP 44.99
1

Performance Analysis of Queuing and Computer Networks

Performance Analysis of Queuing and Computer Networks

Performance Analysis of Queuing and Computer Networks develops simple models and analytical methods from first principles to evaluate performance metrics of various configurations of computer systems and networks. It presents many concepts and results of probability theory and stochastic processes. After an introduction to queues in computer networks this self-contained book covers important random variables such as Pareto and Poisson that constitute models for arrival and service disciplines. It then deals with the equilibrium M/M/1/∞queue which is the simplest queue that is amenable for analysis. Subsequent chapters explore applications of continuous time state-dependent single Markovian queues the M/G/1 system and discrete time queues in computer networks. The author then proceeds to study networks of queues with exponential servers and Poisson external arrivals as well as the G/M/1 queue and Pareto interarrival times in a G/M/1 queue. The last two chapters analyze bursty self-similar traffic and fluid flow models and their effects on queues.

GBP 59.99
1

Computer Graphics Through OpenGL From Theory to Experiments

Computer Graphics Through OpenGL From Theory to Experiments

COMPREHENSIVE COVERAGE OF SHADERS THE PROGRAMMABLE PIPELINE AND WEBGL From geometric primitives to animation to 3D modeling to lighting shading and texturing Computer Graphics Through OpenGL®: From Theory to Experiments is a comprehensive introduction to computer graphics which uses an active learning style to teach key concepts. Equally emphasizing theory and practice the book provides an understanding not only of the principles of 3D computer graphics but also the use of the OpenGL® Application Programming Interface (API) to code 3D scenes and animation including games and movies. The undergraduate core of the book takes the student from zero knowledge of computer graphics to a mastery of the fundamental concepts with the ability to code applications using fourth-generation OpenGL® as well as using WebGL® in order to publish to the web. The remaining chapters explore more advanced topics including the structure of curves and surfaces applications of projective spaces and transformations and the implementation of graphics pipelines. This book can be used for introductory undergraduate computer graphics courses over one to two semesters. The careful exposition style attempting to explain each concept in the simplest terms possible should appeal to the self-study student as well. Features Covers the foundations of 3D computer graphics including animation visual techniques and 3D modeling Comprehensive coverage of OpenGL® 4. x including the GLSL and vertex fragment tessellation and geometry shaders Comprehensive coverage of WebGL® 2. 0. Includes 440 programs and experiments Contains 700 exercises 100 worked examples and 650 four-color illustrations Requires no previous knowledge of computer graphics Balances theory with programming practice using a hands-on interactive approach to explain the underlying concepts | Computer Graphics Through OpenGL® From Theory to Experiments

GBP 110.00
1

Disruptive Trends in Computer Aided Diagnosis

Disruptive Trends in Computer Aided Diagnosis

Disruptive Trends in Computer Aided Diagnosis collates novel techniques and methodologies in the domain of content based image classification and deep learning/machine learning techniques to design efficient computer aided diagnosis architecture. It is aimed to highlight new challenges and probable solutions in the domain of computer aided diagnosis to leverage balancing of sustainable ecology. The volume focuses on designing efficient algorithms for proposing CAD systems to mitigate the challenges of critical illnesses at an early stage. State-of-the-art novel methods are explored for envisaging automated diagnosis systems thereby overriding the limitations due to lack of training data sample annotation region of interest identification proper segmentation and so on. The assorted techniques addresses the challenges encountered in existing systems thereby facilitating accurate patient healthcare and diagnosis. Features: An integrated interdisciplinary approach to address complex computer aided diagnosis problems and limitations. Elucidates a rich summary of the state-of-the-art tools and techniques related to automated detection and diagnosis of life threatening diseases including pandemics. Machine learning and deep learning methodologies on evolving accurate and precise early detection and medical diagnosis systems. Information presented in an accessible way for students researchers and medical practitioners. The volume would come to the benefit of both post-graduate students and aspiring researchers in the field of medical informatics computer science and electronics and communication engineering. In addition the volume is also intended to serve as a guiding factor for the medical practitioners and radiologists in accurate diagnosis of diseases.

GBP 115.00
1

Handbook of Computer Programming with Python

Handbook of Computer Programming with Python

This handbook provides a hands-on experience based on the underlying topics and assists students and faculty members in developing their algorithmic thought process and programs for given computational problems. It can also be used by professionals who possess the necessary theoretical and computational thinking background but are presently making their transition to Python. Key Features: Discusses concepts such as basic programming principles OOP principles database programming GUI programming application development data analytics and visualization statistical analysis virtual reality data structures and algorithms machine learning and deep learning Provides the code and the output for all the concepts discussed Includes a case study at the end of each chapter This handbook will benefit students of computer science information systems and information technology or anyone who is involved in computer programming (entry-to-intermediate level) data analytics HCI-GUI and related disciplines. | Handbook of Computer Programming with Python

GBP 89.99
1

Explorations in Computing An Introduction to Computer Science and Python Programming

Explorations in Computing An Introduction to Computer Science and Python Programming

An Active Learning Approach to Teaching the Main Ideas in Computing Explorations in Computing: An Introduction to Computer Science and Python Programming teaches computer science students how to use programming skills to explore fundamental concepts and computational approaches to solving problems. Tbook gives beginning students an introduction to computer science concepts and computer programming. Designed for CS0 and CS1 courses it is very well suited for alternative lecture styles including flipped classrooms. Prepares Students for Advanced Work in Computer ScienceA revised and updated version of the author’s Explorations in Computing: An Introduction to Computer Science this text incorporates two major differences. It now uses Python instead of Ruby as the lab software so that students can seamlessly transition from introductory projects to more advanced studies in later courses. The book also introduces Python programming providing students with sufficient programming skills so they can implement their own programs. Practical Step-by-Step ProjectsThe interactive lab projects in each chapter allow students to examine important ideas in computer science particularly how algorithms offer computational solutions to problems. Students can type expressions view results and run experiments that help them understand the concepts in a hands-on way. Web ResourcesThe Python software modules for each lab project are available on the author’s website. The modules include data files and sample Python code that students can copy and modify. In addition the site provides a lab manual of installation instructions and tips for editing programs and running commands in a terminal emulator. | Explorations in Computing An Introduction to Computer Science and Python Programming

GBP 46.99
1

Discrete Mathematics for Computer Science An Example-Based Introduction

Discrete Mathematics for Computer Science An Example-Based Introduction

Discrete Mathematics for Computer Science: An Example-Based Introduction is intended for a first- or second-year discrete mathematics course for computer science majors. It covers many important mathematical topics essential for future computer science majors such as algorithms number representations logic set theory Boolean algebra functions combinatorics algorithmic complexity graphs and trees. Features Designed to be especially useful for courses at the community-college level Ideal as a first- or second-year textbook for computer science majors or as a general introduction to discrete mathematics Written to be accessible to those with a limited mathematics background and to aid with the transition to abstract thinking Filled with over 200 worked examples boxed for easy reference and over 200 practice problems with answers Contains approximately 40 simple algorithms to aid students in becoming proficient with algorithm control structures and pseudocode Includes an appendix on basic circuit design which provides a real-world motivational example for computer science majors by drawing on multiple topics covered in the book to design a circuit that adds two eight-digit binary numbers Jon Pierre Fortney graduated from the University of Pennsylvania in 1996 with a BA in Mathematics and Actuarial Science and a BSE in Chemical Engineering. Prior to returning to graduate school he worked as both an environmental engineer and as an actuarial analyst. He graduated from Arizona State University in 2008 with a PhD in Mathematics specializing in Geometric Mechanics. Since 2012 he has worked at Zayed University in Dubai. This is his second mathematics textbook. | Discrete Mathematics for Computer Science An Example-Based Introduction

GBP 48.99
1

Discovering Computer Science Interdisciplinary Problems Principles and Python Programming

Discovering Computer Science Interdisciplinary Problems Principles and Python Programming

Havill's problem-driven approach introduces algorithmic concepts in context and motivates students with a wide range of interests and backgrounds. Janet Davis Associate Professor and Microsoft Chair of Computer Science Whitman College This book looks really great and takes exactly the approach I think should be used for a CS 1 course. I think it really fills a need in the textbook landscape. Marie desJardins Dean of the College of Organizational Computational and Information Sciences Simmons University Discovering Computer Science is a refreshing departure from introductory programming texts offering students a much more sincere introduction to the breadth and complexity of this ever-growing field. James Deverick Senior Lecturer The College of William and Mary This unique introduction to the science of computing guides students through broad and universal approaches to problem solving in a variety of contexts and their ultimate implementation as computer programs. Daniel Kaplan DeWitt Wallace Professor Macalester College Discovering Computer Science: Interdisciplinary Problems Principles and Python Programming is a problem-oriented introduction to computational problem solving and programming in Python appropriate for a first course for computer science majors a more targeted disciplinary computing course or at a slower pace any introductory computer science course for a general audience. Realizing that an organization around language features only resonates with a narrow audience this textbook instead connects programming to students’ prior interests using a range of authentic problems from the natural and social sciences and the digital humanities. The presentation begins with an introduction to the problem-solving process contextualizing programming as an essential component. Then as the book progresses each chapter guides students through solutions to increasingly complex problems using a spiral approach to introduce Python language features. The text also places programming in the context of fundamental computer science principles such as abstraction efficiency testing and algorithmic techniques offering glimpses of topics that are traditionally put off until later courses. This book contains 30 well-developed independent projects that encourage students to explore questions across disciplinary boundaries over 750 homework exercises and 300 integrated reflection questions engage students in problem solving and active reading. The accompanying website — https://www. discoveringcs. net — includes more advanced content solutions to selected exercises sample code and data files and pointers for further exploration. | Discovering Computer Science Interdisciplinary Problems Principles and Python Programming

GBP 74.99
1

How Things Work The Computer Science Edition

How Things Work The Computer Science Edition

It’s axiomatic to state that people fear what they do not understand and this is especially true when it comes to technology. However despite their prevalence computers remain shrouded in mystery and many users feel apprehensive when interacting with them. Smartphones have only exacerbated the issue. Indeed most users of these devices leverage only a small fraction of the power they hold in their hands. How Things Work: The Computer Science Edition is a roadmap for readers who want to overcome their technophobia and harness the full power of everyday technology. Beginning with the basics the book demystifies the mysterious world of computer science explains its fundamental concepts in simple terms and answers the questions many users feel too intimidated to ask. By the end of the book readers will understand how computers and smart devices function and more important how they can make these devices work for them. To complete the picture the book also introduces readers to the darker side of modern technology: security and privacy concerns identity theft and threats from the Dark Web. | How Things Work The Computer Science Edition

GBP 48.99
1

Introduction to Financial Mathematics With Computer Applications

Introduction to Financial Mathematics With Computer Applications

This book’s primary objective is to educate aspiring finance professionals about mathematics and computation in the context of financial derivatives. The authors offer a balance of traditional coverage and technology to fill the void between highly mathematical books and broad finance books. The focus of this book is twofold: To partner mathematics with corresponding intuition rather than diving so deeply into the mathematics that the material is inaccessible to many readers. To build reader intuition understanding and confidence through three types of computer applications that help the reader understand the mathematics of the models. Unlike many books on financial derivatives requiring stochastic calculus this book presents the fundamental theories based on only undergraduate probability knowledge. A key feature of this book is its focus on applying models in three programming languages –R Mathematica and EXCEL. Each of the three approaches offers unique advantages. The computer applications are carefully introduced and require little prior programming background. The financial derivative models that are included in this book are virtually identical to those covered in the top financial professional certificate programs in finance. The overlap of financial models between these programs and this book is broad and deep. | Introduction to Financial Mathematics With Computer Applications

GBP 89.99
1

Introduction to Mathematical Modeling and Computer Simulations

Introduction to Mathematical Modeling and Computer Simulations

Introduction to Mathematical Modeling and Computer Simulations is written as a textbook for readers who want to understand the main principles of Modeling and Simulations in settings that are important for the applications without using the profound mathematical tools required by most advanced texts. It can be particularly useful for applied mathematicians and engineers who are just beginning their careers. The goal of this book is to outline Mathematical Modeling using simple mathematical descriptions making it accessible for first- and second-year students. Chapter 1 and the Preface of this book is freely available as a downloadable Open Access PDF under a Creative Commons Attribution-Non Commercial-No Derivatives 4. 0 license available at http://www. taylorfrancis. com/books/e/9781315277240

GBP 44.99
1

The Internet Book Everything You Need to Know about Computer Networking and How the Internet Works

The Internet Book Everything You Need to Know about Computer Networking and How the Internet Works

The Internet Book Fifth Edition explains how computers communicate what the Internet is how the Internet works and what services the Internet offers. It is designed for readers who do not have a strong technical background — early chapters clearly explain the terminology and concepts needed to understand all the services. It helps the reader to understand the technology behind the Internet appreciate how the Internet can be used and discover why people find it so exciting. In addition it explains the origins of the Internet and shows the reader how rapidly it has grown. It also provides information on how to avoid scams and exaggerated marketing claims. The first section of the book introduces communication system concepts and terminology. The second section reviews the history of the Internet and its incredible growth. It documents the rate at which the digital revolution occurred and provides background that will help readers appreciate the significance of the underlying design. The third section describes basic Internet technology and capabilities. It examines how Internet hardware is organized and how software provides communication. This section provides the foundation for later chapters and will help readers ask good questions and make better decisions when salespeople offer Internet products and services. The final section describes application services currently available on the Internet. For each service the book explains both what the service offers and how the service works. About the Author Dr. Douglas Comer is a Distinguished Professor at Purdue University in the departments of Computer Science and Electrical and Computer Engineering. He has created and enjoys teaching undergraduate and graduate courses on computer networks and Internets operating systems computer architecture and computer software. One of the researchers who contributed to the Internet as it was being formed in the late 1970s and 1980s he has served as a member of the Internet Architecture Board the group responsible for guiding the Internet’s development. Prof. Comer is an internationally recognized expert on computer networking the TCP/IP protocols and the Internet who presents lectures to a wide range of audiences. In addition to research articles he has written a series of textbooks that describe the technical details of the Internet. Prof. Comer’s books have been translated into many languages and are used in industry as well as computer science engineering and business departments around the world. Prof. Comer joined the Internet project in the late 1970s and has had a high-speed Internet connection to his home since 1981. He wrote this book as a response to everyone who has asked him for an explanation of the Internet that is both technically correct and easily understood by anyone. An Internet enthusiast Comer displays INTRNET on the license plate of his car. | The Internet Book Everything You Need to Know about Computer Networking and How the Internet Works

GBP 84.99
1

Simulating Nature A Philosophical Study of Computer-Simulation Uncertainties and Their Role in Climate Science and Policy Advice Second Edition

Simulating Nature A Philosophical Study of Computer-Simulation Uncertainties and Their Role in Climate Science and Policy Advice Second Edition

Computer simulation has become an important means for obtaining knowledge about nature. The practice of scientific simulation and the frequent use of uncertain simulation results in public policy raise a wide range of philosophical questions. Most prominently highlighted is the field of anthropogenic climate change are humans currently changing the climate? Referring to empirical results from science studies and political science Simulating Nature: A Philosophical Study of Computer-Simulation Uncertainties and Their Role in Climate Science and Policy Advice Second Edition addresses questions about the types of uncertainty associated with scientific simulation and about how these uncertainties can be communicated. The author who participated in the United Nations Intergovernmental Panel on Climate Change (IPCC) plenaries in 2001 and 2007 discusses the assessment reports and workings of the IPCC. This second edition reflects the latest developments in climate change policy including a thorough update and rewriting of sections that refer to the IPCC. | Simulating Nature A Philosophical Study of Computer-Simulation Uncertainties and Their Role in Climate Science and Policy Advice Second Edition

GBP 175.00
1

Handbook of Neuroimaging Data Analysis

Handbook of Neuroimaging Data Analysis

This book explores various state-of-the-art aspects behind the statistical analysis of neuroimaging data. It examines the development of novel statistical approaches to model brain data. Designed for researchers in statistics biostatistics computer science cognitive science computer engineering biomedical engineering applied mathematics physics and radiology the book can also be used as a textbook for graduate-level courses in statistics and biostatistics or as a self-study reference for Ph. D. students in statistics biostatistics psychology neuroscience and computer science. | Handbook of Neuroimaging Data Analysis

GBP 66.99
1

Computational Mathematics An introduction to Numerical Analysis and Scientific Computing with Python

Computational Mathematics An introduction to Numerical Analysis and Scientific Computing with Python

This textbook is a comprehensive introduction to computational mathematics and scientific computing suitable for undergraduate and postgraduate courses. It presents both practical and theoretical aspects of the subject as well as advantages and pitfalls of classical numerical methods alongside with computer code and experiments in Python. Each chapter closes with modern applications in physics engineering and computer science. Features: No previous experience in Python is required. Includes simplified computer code for fast-paced learning and transferable skills development. Includes practical problems ideal for project assignments and distance learning. Presents both intuitive and rigorous faces of modern scientific computing. Provides an introduction to neural networks and machine learning. | Computational Mathematics An introduction to Numerical Analysis and Scientific Computing with Python

GBP 99.99
1

Finite Automata

Finite Automata

Interest in finite automata theory continues to grow not only because of its applications in computer science but also because of more recent applications in mathematics particularly group theory and symbolic dynamics. The subject itself lies on the boundaries of mathematics and computer science and with a balanced approach that does justice to both aspects this book provides a well-motivated introduction to the mathematical theory of finite automata. The first half of Finite Automata focuses on the computer science side of the theory and culminates in Kleene's Theorem which the author proves in a variety of ways to suit both computer scientists and mathematicians. In the second half the focus shifts to the mathematical side of the theory and constructing an algebraic approach to languages. Here the author proves two main results: Schützenberger's Theorem on star-free languages and the variety theorem of Eilenberg and Schützenberger. Accessible even to students with only a basic knowledge of discrete mathematics this treatment develops the underlying algebra gently but rigorously and nearly 200 exercises reinforce the concepts. Whether your students' interests lie in computer science or mathematics the well organized and flexible presentation of Finite Automata provides a route to understanding that you can tailor to their particular tastes and abilities.

GBP 59.99
1

Information Technology An Introduction for Today’s Digital World

Information Technology An Introduction for Today’s Digital World

This revised edition has more breadth and depth of coverage than the first edition. Information Technology: An Introduction for Today’s Digital World introduces undergraduate students to a wide variety of concepts that they will encounter throughout their IT studies and careers. The features of this edition include: Introductory system administration coverage of Windows 10 and Linux (Red Hat 7) both as general concepts and with specific hands-on instruction Coverage of programming and shell scripting demonstrated through example code in several popular languages Updated information on modern IT careers Computer networks including more content on cloud computing Improved coverage of computer security Ancillary material that includes a lab manual for hands-on exercises Suitable for any introductory IT course this classroom-tested text presents many of the topics recommended by the ACM Special Interest Group on IT Education (SIGITE). It offers a far more detailed examination of the computer and IT fields than computer literacy texts focusing on concepts essential to all IT professionals – from system administration to scripting to computer organization. Four chapters are dedicated to the Windows and Linux operating systems so that students can gain hands-on experience with operating systems that they will deal with in the real world. | Information Technology An Introduction for Today’s Digital World

GBP 74.99
1

Object Detection with Deep Learning Models Principles and Applications

Object Detection with Deep Learning Models Principles and Applications

Object Detection with Deep Learning Models discusses recent advances in object detection and recognition using deep learning methods which have achieved great success in the field of computer vision and image processing. It provides a systematic and methodical overview of the latest developments in deep learning theory and its applications to computer vision illustrating them using key topics including object detection face analysis 3D object recognition and image retrieval. The book offers a rich blend of theory and practice. It is suitable for students researchers and practitioners interested in deep learning computer vision and beyond and can also be used as a reference book. The comprehensive comparison of various deep-learning applications helps readers with a basic understanding of machine learning and calculus grasp the theories and inspires applications in other computer vision tasks. Features: A structured overview of deep learning in object detection A diversified collection of applications of object detection using deep neural networks Emphasize agriculture and remote sensing domains Exclusive discussion on moving object detection | Object Detection with Deep Learning Models Principles and Applications

GBP 110.00
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Mathematics of Quantum Computation

Mathematics of Quantum Computation

Among the most exciting developments in science today is the design and construction of the quantum computer. Its realization will be the result of multidisciplinary efforts but ultimately it is mathematics that lies at the heart of theoretical quantum computer science. Mathematics of Quantum Computation brings together leading computer scientists mathematicians and physicists to provide the first interdisciplinary but mathematically focused exploration of the field's foundations and state of the art. Each section of the book addresses an area of major research and does so with introductory material that brings newcomers quickly up to speed. Chapters that are more advanced include recent developments not yet published in the open literature. Information technology will inevitably enter into the realm of quantum mechanics and more than all the atomic molecular optical and nanotechnology advances it is the device-independent mathematics that is the foundation of quantum computer and information science. Mathematics of Quantum Computation offers the first up-to-date coverage that has the technical depth and breadth needed by those interested in the challenges being confronted at the frontiers of research.

GBP 59.99
1

STEM Problems with Mathcad and Python

STEM Problems with Mathcad and Python

STEM Problems with Mathcad and Python seeks to remove the fear of tackling difficult scientific and technical calculations for future mathematicians engineers scientists and other STEM researchers. The authors hope to show that such calculations can be not only useful but that the process of learning how to do them can be enjoyable especially with the help of Mathcad and Python programming skills. The book will also illustrate how the use of modern computer software allows one to significantly expand the range of problems considered beyond those conventionally taught. This includes computational experiments multivariate calculations inverse problems and optimization problems with both static and animated visual feedback. Features Suitable for undergraduates and early postgraduates who need simple and accessible guidance for solving practical interdisciplinary technical problems Can be used as an additional textbook in a variety of topics including Calculus Linear Algebra Analytical Geometry Discrete Mathematics Computer Science Computational Mathematics Scientific Visualization Computer Graphics Gives computer users access to an exciting new hobby - solving complex problems described in fiction

GBP 99.99
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