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Smart City Blueprint Framework Technology Platform

Smart City Blueprint Framework Technology Platform

The smart city movement during the last decade and a half advocated the built environment and digital technology convergence with the backing of institutional capital and government support. The commitment of a significant number of local governments across the globe in terms of official smart city policies and initiatives along with the constant push of global technology giants has reinforced the popularity of this movement. This two-volume treatment on smart cities thoroughly explores and sheds light on the prominent elements of the smart city phenomenon and generates a smart city blueprint. This first volume with its 12 chapters provides a sound understanding on the key foundations and growth directions of smart city frameworks technologies and platforms with theoretical expansions practical implications and real-world case study lessons. The second companion volume offers sophisticated perspectives on the key foundations and directions of smart city policies communities and urban futures with theoretical expansions practical implications and real-world case study lessons. This book is an invaluable reference source for urban policymakers managers planners practitioners and many others particularly to benefit from it when tackling key urban and societal issues and planning for and delivering smart city solutions. Moreover the book is also a rich and important repository for scholars and research and undergraduate students as it communicates the complex smart city phenomenon in an easy to digest form by providing both the big picture view and specifics of each component of that view. It also appeals to local government agencies and smart city practitioners. | Smart City Blueprint Framework Technology Platform

GBP 44.99
1

Smart City Blueprint Policy Community Futures

Smart City Blueprint Policy Community Futures

The smart city movement during the last decade and a half advocated the built environment and digital technology convergence with the backing of institutional capital and government support. The commitment of a significant number of local governments across the globe in terms of official smart city policies and initiatives along with the constant push of global technology giants has reinforced the popularity of this movement. This two-volume treatment on smart cities thoroughly explores and sheds light on the prominent elements of the smart city phenomenon and generates a smart city blueprint. The first volume with its 12 chapters provides a sound understanding on the key foundations and growth directions of smart city frameworks technologies and platforms with theoretical expansions practical implications and real-world case study lessons. The second companion volume offers sophisticated perspectives on the key foundations and directions of smart city policies communities and urban futures with theoretical expansions practical implications and real-world case study lessons. These volumes offer an invaluable reference source for urban policymakers managers planners practitioners and many others particularly to benefit from it when tackling key urban and societal issues and planning for and delivering smart city solutions. Moreover the book is also a rich and important repository for scholars and research and undergraduate students. | Smart City Blueprint Policy Community Futures

GBP 44.99
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IoT and Big Data Analytics for Smart Cities A Global Perspective

IoT and Big Data Analytics for Smart Cities A Global Perspective

The book IoT and Big Data Analytics (IoT-BDA) for Smart Cities – A Global Perspective emphasizes the challenges architectural models and intelligent frameworks with smart decisionmaking systems using Big Data and IoT with case studies. The book illustrates the benefits of Big Data and IoT methods in framing smart systems for smart applications. The text is a coordinated amalgamation of research contributions and industrial applications in the field of smart cities. Features: Provides the necessity of convergence of Big Data Analytics and IoT techniques in smart city application Challenges and Roles of IoT and Big Data in Smart City applications Provides Big Data-IoT intelligent smart systems in a global perspective Provides a predictive framework that can handle the traffic on abnormal days such as weekends and festival holidays Gives various solutions and ideas for smart traffic development in smart cities Gives a brief idea of the available algorithms/techniques of Big Data and IoT and guides in developing a solution for smart city applications This book is primarily aimed at IT professionals. Undergraduates graduates and researchers in the area of computer science and information technology will also find this book useful. | IoT and Big Data Analytics for Smart Cities A Global Perspective

GBP 110.00
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Cloud IoT Systems for Smart Agricultural Engineering

Cloud IoT Systems for Smart Agricultural Engineering

Agriculture plays a vital role in a country’s growth. Modern-day technologies drive every domain toward smart systems. The use of traditional agricultural procedures to satisfy modern-day requirements is a challenging task. Cloud IoT Systems for Smart Agricultural Engineering provides substantial coverage of various challenges of the agriculture domain through modern technologies such as the Internet of Things (IoT) cloud computing and many more. This book offers various state-of-the-art procedures to be deployed in a wide range of agricultural activities. The concepts are discussed with the necessary implementations and clear examples. Necessary illustrations are depicted in the chapters to ensure the effective delivery of the proposed concepts. It presents the rapid advancement of the technologies in the existing agricultural model by applying the cloud IoT techniques. A wide variety of novel architectural solutions are discussed in various chapters of this book. This book provides comprehensive coverage of the most essential topics including: New approaches on urban and vertical farming Smart crop management for Indian farmers Smart livestock management Precision agriculture using geographical information systems Machine learning techniques combined with IoT for smart agriculture Effective use of drones in smart agriculture This book provides solutions for the diverse domain of problems in agricultural engineering. It can be used at the basic and intermediary levels for agricultural science and engineering graduate students researchers and practitioners.

GBP 145.00
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Integration of IoT with Cloud Computing for Smart Applications

Integration of IoT with Cloud Computing for Smart Applications

Integration of IoT with Cloud Computing for Smart Applications provides an integrative overview of the Internet of Things (IoT) and cloud computing to be used for the various futuristic and intelligent applications. The aim of this book is to integrate IoT and cloud computing to translate ordinary resources into smart things. Discussions in this book include a broad and integrated perspective on the collaboration security growth of cloud infrastructure and real-time data monitoring. Features: Presents an integrated approach to solve the problems related to security reliability and energy consumption. Explains a unique approach to discuss the research challenges and opportunities in the field of IoT and cloud computing. Discusses a novel approach for smart agriculture smart healthcare systems smart cities and many other modern systems based on machine learning artificial intelligence and big data etc. Information presented in a simplified way for students researchers academicians and scientists business innovators and entrepreneurs management professionals and practitioners. This book can be great reference for graduate and postgraduate students researchers and academicians working in the field of computer science cloud computing artificial intelligence etc.

GBP 99.99
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Philosophy of Mathematics Classic and Contemporary Studies

Philosophy of Mathematics Classic and Contemporary Studies

The philosophy of mathematics is an exciting subject. Philosophy of Mathematics: Classic and Contemporary Studies explores the foundations of mathematical thought. The aim of this book is to encourage young mathematicians to think about the philosophical issues behind fundamental concepts and about different views on mathematical objects and mathematical knowledge. With this new approach the author rekindles an interest in philosophical subjects surrounding the foundations of mathematics. He offers the mathematical motivations behind the topics under debate. He introduces various philosophical positions ranging from the classic views to more contemporary ones including subjects which are more engaged with mathematical logic. Most books on philosophy of mathematics have little to no focus on the effects of philosophical views on mathematical practice and no concern on giving crucial mathematical results and their philosophical relevance consequences reasons etc. This book fills this gap. The book can be used as a textbook for a one-semester or even one-year course on philosophy of mathematics. Other textbooks on the philosophy of mathematics are aimed at philosophers. This book is aimed at mathematicians. Since the author is a mathematician it is a valuable addition to the literature. Mark Balaguer California State University Los Angeles There are not many such texts available for mathematics students. I applaud efforts to foster the dialogue between mathematics and philosophy. Michele Friend George Washington University and CNRS Lille France | Philosophy of Mathematics Classic and Contemporary Studies

GBP 48.99
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Technological Prospects and Social Applications of Society 5.0

Technological Prospects and Social Applications of Society 5.0

This book provides readers to the vision of Society 5. 0 which was originally proposed in the fifth Basic Science and Technology Plan by Japan’s government for a technology-based human-centered society emerging from the fourth industrial revolution (Industry 4. 0). The implementation of AI and other modern techniques in a smart society requires automated data scheduling and analysis using smart applications a smart infrastructure smart systems and a smart network. Features Provides an overview of basic concepts of Society 5. 0 as well as the main pillars that support the implementation of Society 5. 0. Contains the most recent research analysis in the domain of computer vision signal processing and computing sciences for facilitating smart homes buildings transport facilities environmental conditions and cities and the benefits these offer to a nation. Presents the readers with practical approaches of using AI and other algorithms for smart ecosystem to deals with human dynamics the social objects and their relations. Deals with the utilization of AI tools and other modern techniques for smart society as well as the current challenging issues and its solutions for transformation to Society 5. 0. This book is aimed at graduate and post graduate students researchers academicians working in the field of computer science artificial intelligence and machine learning. | Technological Prospects and Social Applications of Society 5. 0

GBP 89.99
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Cognitive Computing for Internet of Medical Things

Cognitive Computing for Internet of Medical Things

Cognitive Computing for Internet of Medical Things (IoMT) offers a complete assessment of the present scenario role challenges technologies and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT. Key Features Exploits the different prospects of cognitive computing techniques for the IoMT and smart healthcare applications Addresses the significance of IoMT and cognitive computing in the evolution of intelligent medical systems for biomedical applications Describes the different computing techniques of cognitive intelligent systems from a practical point of view: solving common life problems Explores the technologies and tools to utilize IoMT for the transformation and growth of healthcare systems Focuses on the economic social and environmental impact of IoMT-enabled smart healthcare systems This book is primarily aimed at graduates researchers and academicians working in the area of development of the application of the of the application of the IoT in smart healthcare. Industry professionals will also find this book helpful.

GBP 110.00
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Mobile Crowdsensing

Mobile Crowdsensing

Mobile crowdsensing is a technology that allows large scale cost-effective sensing of the physical world. In mobile crowdsensing mobile personal devices such as smart phones or smart watches come equipped with a variety of sensors that can be leveraged to collect data related to environment transportation healthcare safety and so on. This book presents the first extensive coverage of mobile crowdsensing with examples and insights drawn from the authors’ extensive research on this topic as well as from the research and development of a growing community of researchers and practitioners working in this emerging field. Throughout the text the authors provide the reader with various examples of crowdsensing applications and the building blocks to creating the necessary infrastructure explore the related concepts of mobile sensing and crowdsourcing and examine security and privacy issues introduced by mobile crowdsensing platforms. Provides a comprehensive description of mobile crowdsensing a one-stop shop for all relevant issues pertaining to mobile crowdsensing including motivation applications design and implementation incentive mechanisms and reliability and privacy. Describes the design and implementations of mobile crowdsensing platforms of great interest for the readers working in research and industry to quickly implement and test their systems. Identifies potential issues in building such mobile crowdsensing applications to ensure their usability in real life and presents future directions in mobile crowdsensing by emphasizing the open problems that have to be addressed.

GBP 44.99
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The Analysis of Time Series An Introduction with R

The Analysis of Time Series An Introduction with R

This new edition of this classic title now in its seventh edition presents a balanced and comprehensive introduction to the theory implementation and practice of time series analysis. The book covers a wide range of topics including ARIMA models forecasting methods spectral analysis linear systems state-space models the Kalman filters nonlinear models volatility models and multivariate models. | The Analysis of Time Series An Introduction with R

GBP 69.99
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Data Structures using C A Practical Approach for Beginners

Data Structures using C A Practical Approach for Beginners

The data structure is a set of specially organized data elements and functions which are defined to store retrieve remove and search for individual data elements. Data Structures using C: A Practical Approach for Beginners covers all issues related to the amount of storage needed the amount of time required to process the data data representation of the primary memory and operations carried out with such data. Data Structures using C: A Practical Approach for Beginners book will help students learn data structure and algorithms in a focused way. Resolves linear and nonlinear data structures in C language using the algorithm diagrammatically and its time and space complexity analysis Covers interview questions and MCQs on all topics of campus readiness Identifies possible solutions to each problem Includes real-life and computational applications of linear and nonlinear data structures This book is primarily aimed at undergraduates and graduates of computer science and information technology. Students of all engineering disciplines will also find this book useful. | Data Structures using C A Practical Approach for Beginners

GBP 105.00
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A Criminologist's Guide to R Crime by the Numbers

A Criminologist's Guide to R Crime by the Numbers

A Criminologist's Guide to R: Crime by the Numbers introduces the programming language R and covers the necessary skills to conduct quantitative research in criminology. By the end of this book a person without any prior programming experience can take raw crime data be able to clean it visualize the data present it using R Markdown and change it to a format ready for analysis. A Criminologist's Guide to R focuses on skills specifically for criminology such as spatial joins mapping and scraping data from PDFs however any social scientist looking for an introduction to R for data analysis will find this useful. Key Features: Introduction to RStudio including how to change user preference settings. Basic data exploration and cleaning – subsetting loading data regular expressions aggregating data. Graphing with ggplot2. How to make maps (hotspot maps choropleth maps interactive maps). Webscraping and PDF scraping. Project management – how to prepare for a project how to decide which projects to do best ways to collaborate with people how to store your code (using git) and how to test your code. | A Criminologist's Guide to R Crime by the Numbers

GBP 74.99
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Algebraic Number Theory and Fermat's Last Theorem

Algebraic Number Theory and Fermat's Last Theorem

Updated to reflect current research Algebraic Number Theory and Fermat’s Last Theorem Fourth Edition introduces fundamental ideas of algebraic numbers and explores one of the most intriguing stories in the history of mathematics—the quest for a proof of Fermat’s Last Theorem. The authors use this celebrated theorem to motivate a general study of the theory of algebraic numbers from a relatively concrete point of view. Students will see how Wiles’s proof of Fermat’s Last Theorem opened many new areas for future work. New to the Fourth EditionProvides up-to-date information on unique prime factorization for real quadratic number fields especially Harper’s proof that Z(√14) is EuclideanPresents an important new result: Mihăilescu’s proof of the Catalan conjecture of 1844Revises and expands one chapter into two covering classical ideas about modular functions and highlighting the new ideas of Frey Wiles and others that led to the long-sought proof of Fermat’s Last TheoremImproves and updates the index figures bibliography further reading list and historical remarksWritten by preeminent mathematicians Ian Stewart and David Tall this text continues to teach students how to extend properties of natural numbers to more general number structures including algebraic number fields and their rings of algebraic integers. It also explains how basic notions from the theory of algebraic numbers can be used to solve problems in number theory. | Algebraic Number Theory and Fermat's Last Theorem

GBP 39.99
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Data Science for Water Utilities Data as a Source of Value

Data Science for Water Utilities Data as a Source of Value

This addition to the Data Science Series introduces the principles of data science and the R language to the singular needs of water professionals. The book provides unique data and examples relevant to managing water utility and is sourced from the author’s extensive experience. Data Science for Water Utilities: Data as a Source of Value is an applied practical guide that shows water professionals how to use data science to solve urban water management problems. Content develops through four case studies. The first looks at analysing water quality to ensure public health. The second considers customer feedback. The third case study introduces smart meter data. The guide flows easily from basic principles through code that with each case study increases in complexity. The last case study analyses data using basic machine learning. Readers will be familiar with analysing data but do not need coding experience to use this book. The title will be essential reading for anyone seeking a practical introduction to data science and creating value with R. | Data Science for Water Utilities Data as a Source of Value

GBP 44.99
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Population Genomics with R

Population Genomics with R

Population Genomics With R presents a multidisciplinary approach to the analysis of population genomics. The methods treated cover a large number of topics from traditional population genetics to large-scale genomics with high-throughput sequencing data. Several dozen R packages are examined and integrated to provide a coherent software environment with a wide range of computational statistical and graphical tools. Small examples are used to illustrate the basics and published data are used as case studies. Readers are expected to have a basic knowledge of biology genetics and statistical inference methods. Graduate students and post-doctorate researchers will find resources to analyze their population genetic and genomic data as well as help them design new studies. The first four chapters review the basics of population genomics data acquisition and the use of R to store and manipulate genomic data. Chapter 5 treats the exploration of genomic data an important issue when analysing large data sets. The other five chapters cover linkage disequilibrium population genomic structure geographical structure past demographic events and natural selection. These chapters include supervised and unsupervised methods admixture analysis an in-depth treatment of multivariate methods and advice on how to handle GIS data. The analysis of natural selection a traditional issue in evolutionary biology has known a revival with modern population genomic data. All chapters include exercises. Supplemental materials are available on-line (http://ape-package. ird. fr/PGR. html).

GBP 48.99
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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
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Hands-On Data Science for Librarians

Hands-On Data Science for Librarians

Librarians understand the need to store use and analyze data related to their collection patrons and institution and there has been consistent interest over the last 10 years to improve data management analysis and visualization skills within the profession. However librarians find it difficult to move from out-of-the-box proprietary software applications to the skills necessary to perform the range of data science actions in code. This book will focus on teaching R through relevant examples and skills that librarians need in their day-to-day lives that includes visualizations but goes much further to include web scraping working with maps creating interactive reports machine learning and others. While there’s a place for theory ethics and statistical methods librarians need a tool to help them acquire enough facility with R to utilize data science skills in their daily work no matter what type of library they work at (academic public or special). By walking through each skill and its application to library work before walking the reader through each line of code this book will support librarians who want to apply data science in their daily work. Hands-On Data Science for Librarians is intended for librarians (and other information professionals) in any library type (public academic or special) as well as graduate students in library and information science (LIS). Key Features: Only data science book available geared toward librarians that includes step-by-step code examples Examples include all library types (public academic special) Relevant datasets Accessible to non-technical professionals Focused on job skills and their applications

GBP 52.99
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A First Course in Linear Model Theory

A First Course in Linear Model Theory

Thoroughly updated throughout A First Course in Linear Model Theory Second Edition is an intermediate-level statistics text that fills an important gap by presenting the theory of linear statistical models at a level appropriate for senior undergraduate or first-year graduate students. With an innovative approach the authors introduce to students the mathematical and statistical concepts and tools that form a foundation for studying the theory and applications of both univariate and multivariate linear models. In addition to adding R functionality this second edition features three new chapters and several sections on new topics that are extremely relevant to the current research in statistical methodology. Revised or expanded topics include linear fixed random and mixed effects models generalized linear models Bayesian and hierarchical linear models model selection multiple comparisons and regularized and robust regression. New to the Second Edition: Coverage of inference for linear models has been expanded into two chapters. Expanded coverage of multiple comparisons random and mixed effects models model selection and missing data. A new chapter on generalized linear models (Chapter 12). A new section on multivariate linear models in Chapter 13 and expanded coverage of the Bayesian linear models and longitudinal models. A new section on regularized regression in Chapter 14. Detailed data illustrations using R. The authors' fresh approach methodical presentation wealth of examples use of R and introduction to topics beyond the classical theory set this book apart from other texts on linear models. It forms a refreshing and invaluable first step in students' study of advanced linear models generalized linear models nonlinear models and dynamic models.

GBP 82.99
1

Performance Reliability and Availability Evaluation of Computational Systems Volume I Performance and Background

Performance Reliability and Availability Evaluation of Computational Systems Volume I Performance and Background

This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance reliability and availability evaluation subjects. The volumes focus on computing systems although the methods may also be applied to other systems. The first volume covers Chapter 1 to Chapter 14 whose subtitle is ``Performance Modeling and Background. The second volume encompasses Chapter 15 to Chapter 25 and has the subtitle ``Reliability and Availability Modeling Measuring and Workload and Lifetime Data Analysis. This text is helpful for computer performance professionals for supporting planning design configuring and tuning the performance reliability and availability of computing systems. Such professionals may use these volumes to get acquainted with specific subjects by looking at the particular chapters. Many examples in the textbook on computing systems will help them understand the concepts covered in each chapter. The text may also be helpful for the instructor who teaches performance reliability and availability evaluation subjects. Many possible threads could be configured according to the interest of the audience and the duration of the course. Chapter 1 presents a good number of possible courses programs that could be organized using this text. Volume I is composed of the first two parts besides Chapter 1. Part I gives the knowledge required for the subsequent parts of the text. This part includes six chapters. It covers an introduction to probability descriptive statistics and exploratory data analysis random variables moments covariance some helpful discrete and continuous random variables Taylor series inference methods distribution fitting regression interpolation data scaling distance measures and some clustering methods. Part II presents methods for performance evaluation modeling such as operational analysis Discrete-Time Markov Chains (DTMC) and Continuous Time Markov Chains (CTMC) Markovian queues Stochastic Petri nets (SPN) and discrete event simulation. | Performance Reliability and Availability Evaluation of Computational Systems Volume I Performance and Background

GBP 120.00
1

Secret History The Story of Cryptology

Secret History The Story of Cryptology

The first edition of this award-winning book attracted a wide audience. This second edition is both a joy to read and a useful classroom tool. Unlike traditional textbooks it requires no mathematical prerequisites and can be read around the mathematics presented. If used as a textbook the mathematics can be prioritized with a book both students and instructors will enjoy reading. Secret History: The Story of Cryptology Second Edition incorporates new material concerning various eras in the long history of cryptology. Much has happened concerning the political aspects of cryptology since the first edition appeared. The still unfolding story is updated here. The first edition of this book contained chapters devoted to the cracking of German and Japanese systems during World War II. Now the other side of this cipher war is also told that is how the United States was able to come up with systems that were never broken. The text is in two parts. Part I presents classic cryptology from ancient times through World War II. Part II examines modern computer cryptology. With numerous real-world examples and extensive references the author skillfully balances the history with mathematical details providing readers with a sound foundation in this dynamic field. FEATURES Presents a chronological development of key concepts Includes the Vigenère cipher the one-time pad transposition ciphers Jefferson’s wheel cipher Playfair cipher ADFGX matrix encryption Enigma Purple and other classic methods Looks at the work of Claude Shannon the origin of the National Security Agency elliptic curve cryptography the Data Encryption Standard the Advanced Encryption Standard public-key cryptography and many other topics New chapters detail SIGABA and SIGSALY successful systems used during World War II for text and speech respectively Includes quantum cryptography and the impact of quantum computers | Secret History The Story of Cryptology

GBP 74.99
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Medical Internet of Things Techniques Practices and Applications

Medical Internet of Things Techniques Practices and Applications

In recent years the Medical Internet of Things (MIoT) has emerged as one of the most helpful technological gifts to mankind. With the incredible development in data science big data technologies IoT and embedded systems it is now possible to collect a huge amount of sensitive and personal data compile it and store it through cloud or edge computing techniques. However important concerns remain about security and privacy the preservation of sensitive and personal data and the efficient transfer storage and processing of MIoT-based data. Medical Internet of Things: Techniques Practices and Applications is an attempt to explore new ideas and novel techniques in the area of MIoT. The book is composed of fifteen chapters discussing basic concepts issues challenges case studies and applications in MIoT. This book offers novel advances and applications of MIoT in a precise and clear manner to the research community to achieve in-depth knowledge in the field. This book will help those interested in the field as well as researchers to gain insight into different concepts and their importance in multifaceted applications of real life. This has been done to make the book more flexible and to stimulate further interest in the topic. Features: A systematic overview of concepts in Medical Internet of Things (MIoT) is included. Recent research and some pointers on future advancements in MIoT are discussed. Examples and case studies are included. It is written in an easy-to-understand style with the help of numerous figures and datasets. This book serves as a reference book for scientific investigators who are interested in working on MIoT as well as researchers developing methodology in this field. It may also be used as a textbook for postgraduate-level courses in computer science or information technology. | Medical Internet of Things Techniques Practices and Applications

GBP 130.00
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Mobile Devices Tools and Technologies

Mobile Devices Tools and Technologies

Wireless and mobile communications have grown exponentially. The average individual now possesses a minimum of two smart mobile devices. The consistent advancement of mobile devices feeds the ever-growing appetite for faster bandwidth uninterrupted connectivity applications to fulfill the needs of consumers and businesses and security for all of this information. Mobile Devices: Tools and Technologies provides readers at all levels of technical expertise with an understanding of mobile device concepts application development processes networking and infrastructure and security methods. This book is organized into four sections with chapters contributed by engineers with extensive real-world experience in the mobile and wireless field. The first section discusses the current mobile device landscape including the latest technology innovations personal and business use trends and mobile operating systems and applications. The second section focuses on the application development process from strategy and process through the development phases to production and launch. This section covers both Android and iOS application development. In the third section the authors explore mobile access standards network types and infrastructure components. This section also covers proximity communications standards including Bluetooth NFC and RFID. The book concludes with a look at mobile device security including mobile encryption methods wireless security levels and corporate security and workforce management strategies. Throughout the book the contributors illustrate proven best practices and methodologies using real-world case studies drawn from their extensive experiences with mobile software and infrastructures for enterprise customers. | Mobile Devices Tools and Technologies

GBP 44.99
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Natural Language Processing in the Real World Text Processing Analytics and Classification

Natural Language Processing in the Real World Text Processing Analytics and Classification

Natural Language Processing in the Real World is a practical guide for applying data science and machine learning to build Natural Language Processing (NLP) solutions. Where traditional academic-taught NLP is often accompanied by a data source or dataset to aid solution building this book is situated in the real world where there may not be an existing rich dataset. This book covers the basic concepts behind NLP and text processing and discusses the applications across 15 industry verticals. From data sources and extraction to transformation and modelling and classic Machine Learning to Deep Learning and Transformers several popular applications of NLP are discussed and implemented. This book provides a hands-on and holistic guide for anyone looking to build NLP solutions from students of Computer Science to those involved in large-scale industrial projects. | Natural Language Processing in the Real World Text Processing Analytics and Classification

GBP 59.99
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Essentials of Probability Theory for Statisticians

Essentials of Probability Theory for Statisticians

Essentials of Probability Theory for Statisticians provides graduate students with a rigorous treatment of probability theory with an emphasis on results central to theoretical statistics. It presents classical probability theory motivated with illustrative examples in biostatistics such as outlier tests monitoring clinical trials and using adaptive methods to make design changes based on accumulating data. The authors explain different methods of proofs and show how they are useful for establishing classic probability results. After building a foundation in probability the text intersperses examples that make seemingly esoteric mathematical constructs more intuitive. These examples elucidate essential elements in definitions and conditions in theorems. In addition counterexamples further clarify nuances in meaning and expose common fallacies in logic. This text encourages students in statistics and biostatistics to think carefully about probability. It gives them the rigorous foundation necessary to provide valid proofs and avoid paradoxes and nonsensical conclusions.

GBP 56.99
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