Browse Results

Showing 1,176 through 1,200 of 61,731 results

AI-Powered IoT for COVID-19

by Fadi Al-Turjman

The Internet of Things (IoT) has made revolutionary advances in the utility grid as we know it. Among these advances, intelligent medical services are gaining much interest. The use of Artificial Intelligence (AI) is increasing day after day in fighting one of the most significant viruses, COVID-19. The purpose of this book is to present the detailed recent exploration of AI and IoT in the COVID-19 pandemic and similar applications. The integrated AI and IoT paradigm is widely used in most medical applications, as well as in sectors that deal with transacting data every day. This book can be used by computer science undergraduate and postgraduate students; researchers and practitioners; and city administrators, policy makers, and government regulators. It presents a smart and up-to-date model for COVID-19 and similar applications. Novel architectural and medical use cases in the smart city project are the core aspects of this book. The wide variety of topics it presents offers readers multiple perspectives on a variety of disciplines. Prof. Dr. Fadi Al-Turjman received his PhD in computer science from Queen’s University, Kingston, Ontario, Canada, in 2011. He is a full professor and research center director at Near East University, Nicosia, Cyprus.

AI-Powered Scholar: A Beginner’s Guide to Artificial Intelligence for Academic Writing & Research

by Bron Eager

This book is a practical and comprehensive guide on using AI tools to streamline and optimise the academic writing and research process.Through a series of step-by-step instructions and practical tips, this book provides readers with the knowledge and tools they need to leverage the power of AI to produce high-quality academic publications. The text covers the historical context of AI development, techniques for communicating with AI systems, and strategies for transforming AI into helpful research assistants. Readers will discover the art of prompt engineering and learn practical applications for using AI to ideate research projects, conduct literature searches, and accelerate academic writing. Emphasis is placed on the responsible use of AI, positioning it as an extension of human capabilities rather than a replacement. Through real-world examples, complex AI concepts are demystified, and key challenges and limitations are addressed head-on.Whether you're a university student or a tenured professor, this book is your indispensable companion to beginning your path towards becoming an AI-powered scholar.

AI-Powered Search

by Doug Turnbull Trey Grainger Max Irwin

Apply cutting-edge machine learning techniques—from crowdsourced relevance and knowledge graph learning, to Large Language Models (LLMs)—to enhance the accuracy and relevance of your search results.Delivering effective search is one of the biggest challenges you can face as an engineer. AI-Powered Search is an in-depth guide to building intelligent search systems you can be proud of. It covers the critical tools you need to automate ongoing relevance improvements within your search applications. Inside you&’ll learn modern, data-science-driven search techniques like: • Semantic search using dense vector embeddings from foundation models • Retrieval augmented generation (RAG) • Question answering and summarization combining search and LLMs • Fine-tuning transformer-based LLMs • Personalized search based on user signals and vector embeddings • Collecting user behavioral signals and building signals boosting models • Semantic knowledge graphs for domain-specific learning • Semantic query parsing, query-sense disambiguation, and query intent classification • Implementing machine-learned ranking models (Learning to Rank) • Building click models to automate machine-learned ranking • Generative search, hybrid search, multimodal search, and the search frontier AI-Powered Search will help you build the kind of highly intelligent search applications demanded by modern users. Whether you&’re enhancing your existing search engine or building from scratch, you&’ll learn how to deliver an AI-powered service that can continuously learn from every content update, user interaction, and the hidden semantic relationships in your content. You&’ll learn both how to enhance your AI systems with search and how to integrate large language models (LLMs) and other foundation models to massively accelerate the capabilities of your search technology. Foreword by Grant Ingersoll. About the technology Modern search is more than keyword matching. Much, much more. Search that learns from user interactions, interprets intent, and takes advantage of AI tools like large language models (LLMs) can deliver highly targeted and relevant results. This book shows you how to up your search game using state-of-the-art AI algorithms, techniques, and tools. About the book AI-Powered Search teaches you to create a search that understands natural language and improves automatically the more it is used. As you work through dozens of interesting and relevant examples, you&’ll learn powerful AI-based techniques like semantic search on embeddings, question answering powered by LLMs, real-time personalization, and Retrieval Augmented Generation (RAG). What's inside • Sparse lexical and embedding-based semantic search • Question answering, RAG, and summarization using LLMs • Personalized search and signals boosting models • Learning to Rank, multimodal, and hybrid search About the reader For software developers and data scientists familiar with the basics of search engine technology. About the author Trey Grainger is the Founder of Searchkernel and former Chief Algorithms Officer and SVP of Engineering at Lucidworks. Doug Turnbull is a Principal Engineer at Reddit and former Staff Relevance Engineer at Spotify. Max Irwin is the Founder of Max.io and former Managing Consultant at OpenSource Connections.

AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart Cities: Third EAI International Conference, AISCOVID-19 2022, Braga, Portugal, November 16-18, 2022, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #485)

by José Manuel Machado Hugo Peixoto

This book constitutes the refereed post-conference proceedings of the Third International Conference on AI-assisted Solutions for COVID-19 and Biometrical Applications in Smart Cities, AISCOVID-19 2022, held in November 2022 in Braga, Portugal. The 8 full papers of AISCOVID-19 2022 were carefully selected from 21 submissions and present a comprehensive and up-to-date look at the intersection of COVID-19, big data, machine learning, deep learning, and healthcare. The theme of AISCOVID-19 2022 was Healthcare effective and efficient Solutions for COVID-19 that can be achieved using Artificial Intelligence and Computer-Assisted paradigms.

AI-empowered Knowledge Management (Studies in Big Data #107)

by Nilanjan Dey Soumi Majumder

This book is focused on AI-empowered knowledge management to improve processes, implementation of technology for providing easy access to knowledge and the impact of knowledge management to promote the platform for generation of new knowledge through continuous learning. The book discusses process of knowledge management which includes entirety of the creation, distribution, and maintenance of knowledge to achieve organizational objectives. It also covers knowledge management tools which enable and enhance knowledge creation, codification, and transfer within business firms thereby reducing the burden of work and allowing application of resources and effective usage towards practical tasks. An immense growth of artificial intelligence in business organizations has occurred and AI-empowered knowledge management practice is leading towards growth and development of the organization.

AI-enabled Spectrum Sharing: Recent Advances In Wireless Edge Networks (SpringerBriefs in Computer Science)

by Lin Zhang Ming Xiao Zicun Wang Wanbin Tang

Wireless edge networks aim to provide last-mile wireless connections between access points and diversified wireless end devices. Recent years witness the rapid development of wireless communication ecosystems including fundamental theory breakthroughs, manufacture capability improvements, as well as the explosively increasing wireless end devices and service demands. It is known that spectrum is the irreplaceable resource for wireless transmissions in edge networks. Nevertheless, it is quite challenging and inefficient to allocate dedicated spectrum for each single transmission link due to the severe shortage of spectrum resource. Alternatively, by enabling different links to use the same spectrum, spectrum sharing is envisioned to be a promising paradigm to properly accommodate the conflict between the scarce spectrum resource and substantial spectrum demands. Conventionally, model-driven optimization methods are widely adopted to optimize the spectrum sharing policy in the edge network and achieve friendly coexistence among different transmission links. However, future wireless edge network is predicted to be large-scale and heterogeneous, model-driven optimization methods will be problematic such as imperfect modelling and unacceptable overheads. Different from the existing related books on spectrum sharing or spectrum management for wireless edge networks, our book leverages the artificial intelligence (AI) to achieve smart spectrum sharing for wireless edge networks and elaborates AI-enabled spectrum sharing technique in typical scenarios, which can guide the development of next-generation spectrum sharing standards, as well as provide innovative spectrum sharing methods for related practitioners, including research fellow, lecturers, and students.

AI-generated Content: First International Conference, AIGC 2023, Shanghai, China, August 25–26, 2023, Revised Selected Papers (Communications in Computer and Information Science #1946)

by Feng Zhao Duoqian Miao

This book constitutes the revised selected papers of the First International Conference, AIGC 2023, held in Shanghai, China, during August 25–26, 2023The 30 full papers included in this volume were carefully reviewed and selected from 62 submissions. The volume focuses on the remarkable strides that have been made in the realm of artificial intelligence and its transformative impact on content creation. As delving into the content of the proceedings, the readers will encounter cutting-edge research findings, innovative applications, and thought-provoking insights that underscore the transformative potential of AI-generated content.

AI/ML for Healthcare: Navigating the AI/ML Maze Responsibly, Securely, and Sustainably

by Kapila Monga

The advent of Generative AI has democratized access to AI, prompting nearly everyone in healthcare organizations - from frontline workers to business leaders – to ask pressing questions: How can I be better equipped to support AI adoption meaningfully? How do I ensure I ask the right questions? What cautions should I exercise as I think about AI/machine learning (ML) in my business process? This book aims to answer these and other such questions and to empower healthcare professionals, at all levels, by providing them knowledge across various aspects of AI/ML, enabling them (at least in part) to realize positive, lasting business value from AI and ML initiatives. This book draws upon my experience of working in healthcare AI/ML, lessons I learned while observing leaders in this space trying to make a difference, and research (for evolving topics like sustainable AI development and securing AI/ML systems).This book provides readers with actionable insights to build responsible, secure, and sustainable AI/ML solutions in healthcare and delves into key principles for scaling AI/ML value delivery, including establishing Machine Learning Operations (MLOps) processes and launching citizen data science programs. At its heart, this book features a healthcare-specific case study that bridges the gap between theoretical knowledge and practical application, illustrating all major concepts in a real-world context.The final chapter of this book offers a forward-looking commentary on the future of healthcare AI/ML. It explores the potential of Generative AI for healthcare and advocates leveraging lessons from past AI/ML implementations to chart a meaningful path for embracing Generative AI. Additionally, this book emphasizes the importance of adopting “reciprocal altruism” to accelerate AI/ML value realization across the healthcare industry and provides practical recommendations toward the same.

AI: A Broad and a Different Perspective (SpringerBriefs in Applied Sciences and Technology)

by Paolo Massimo Buscema Weldon A. Lodwick Giulia Massini Marco Breda Francis Newman Masoud Asadi-Zeydabadi Riccardo Petritoli Pier Luigi Sacco

One of the primary objectives of this book is to highlight the profound difference between two types of AI that pursue distinct goals: emulative AI, which seeks to build machines whose output is similar to, or even superior to, that of the human brain, and investigative AI, whose purpose is to make invisible information within data visible by uncovering the laws through which individual behaviors self-organize into collective behaviors. The former is better known, as it serves as a useful tool for automating human labor and generating market profits; the latter is less widely recognized but is more scientifically oriented towards saving lives (in the medical field), explaining otherwise inexplicable phenomena (in the geophysical field), and enhancing our understanding of the material and abstract world. Both are valuable yet distinct: the emulative approach generates immediate profits and creates illusions of human-like power, while the investigative approach enhances fundamental scientific research and will yield its greatest benefits over time. The investigative approach presented in this volume seeks to rebuild the bridge between humanity and nature.

AI: Unexplainable, Unpredictable, Uncontrollable (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)

by Roman V. Yampolskiy

Delving into the deeply enigmatic nature of Artificial Intelligence (AI), AI: Unexplainable, Unpredictable, Uncontrollable explores the various reasons why the field is so challenging. Written by one of the founders of the field of AI safety, this book addresses some of the most fascinating questions facing humanity, including the nature of intelligence, consciousness, values and knowledge.Moving from a broad introduction to the core problems, such as the unpredictability of AI outcomes or the difficulty in explaining AI decisions, this book arrives at more complex questions of ownership and control, conducting an in-depth analysis of potential hazards and unintentional consequences. The book then concludes with philosophical and existential considerations, probing into questions of AI personhood, consciousness, and the distinction between human intelligence and artificial general intelligence (AGI).Bridging the gap between technical intricacies and philosophical musings, AI: Unexplainable, Unpredictable, Uncontrollable appeals to both AI experts and enthusiasts looking for a comprehensive understanding of the field, whilst also being written for a general audience with minimal technical jargon.

AIQ: How People and Machines Are Smarter Together

by James Scott Nick Polson

“There comes a time in the life of a subject when someone steps up and writes the book about it. AIQ explores the fascinating history of the ideas that drive this technology of the future and demystifies the core concepts behind it; the result is a positive and entertaining look at the great potential unlocked by marrying human creativity with powerful machines.” —Steven D. Levitt, bestselling co-author of FreakonomicsFrom leading data scientists Nick Polson and James Scott, what everyone needs to know to understand how artificial intelligence is changing the world and how we can use this knowledge to make better decisions in our own lives.Dozens of times per day, we all interact with intelligent machines that are constantly learning from the wealth of data now available to them. These machines, from smart phones to talking robots to self-driving cars, are remaking the world in the 21st century in the same way that the Industrial Revolution remade the world in the 19th century. AIQ is based on a simple premise: if you want to understand the modern world, then you have to know a little bit of the mathematical language spoken by intelligent machines. AIQ will teach you that language—but in an unconventional way, anchored in stories rather than equations. You will meet a fascinating cast of historical characters who have a lot to teach you about data, probability, and better thinking. Along the way, you'll see how these same ideas are playing out in the modern age of big data and intelligent machines—and how these technologies will soon help you to overcome some of your built-in cognitive weaknesses, giving you a chance to lead a happier, healthier, more fulfilled life.

AIR for Javascript Developers Pocket Guide: Getting Started with Adobe AIR (Pocket Guide)

by Mike Chambers Daniel Dura Kevin Hoyt Dragos Georgita

This book is the official guide to Adobe ® AIR[TM], written by members of the AIR team. With Adobe AIR, web developers can use technologies like HTML and JavaScript to build and deploy web applications to the desktop. Packed with examples, this book explains how AIR works and features recipes for performing common runtime tasks. Part of the Adobe Developer Library, this concise pocket guide explains:What Adobe AIR is, and the problems this runtime aims to solve How to set up your development environment The HTML and JavaScript environments within AIR How to create your first AIR application using HTML and JavaScript Ways to perform an array of common tasks with this runtimeAlso included is a guide to AIR packages, classes, and command line tools. Once you understand the basics of building HTML- and JavaScript-based AIR applications, this book makes an ideal reference for tackling specific problems. It offers a quick introduction to a significant new development technology, which lets you combine the reach and ease of the Web with the power of the desktop.

AISMA-2023: International Workshop on Advanced Information Security Management and Applications (Lecture Notes in Networks and Systems #1207)

by Zahid Raza Mikhail Babenko Mohammad Sajid Maria Lapina Vyacheslav Zolotarev

This book is based on the best papers accepted for presentation during the AISMA-2023: International Workshop on Advanced in Information Security Management and Applications on September 29 - October 1, 2023 in online mode at Stavropol, Krasnoyarsk, Russia. The book includes research on information security problems and solutions in the field of information security management, blockchain and cryptography, anomalies activity detection, authentication and key distribution, digital forensics. The scope of research methods in information security management presents original research, including mathematical models and software implementations, related to the following topics: social activities quality, blockchain technology, anomaly detection in wireless sensor networks, DDoS attack detection, incident regulation and trust assessment. In addition, some papers focus on dynamics risks infrastructural genesis at critical information infrastructure facilities. Finally, the book gives insights into some problems using blockchain technology in various applications. The book intends for readership specializing in the field of information security management and applications, information security methods and features.

AISMA-2024: International Workshop on Advanced Information Security Management and Applications (Lecture Notes in Networks and Systems #863)

by Zahid Raza Andrei Tchernykh Mikhail Babenko Mohammad Sajid Maria Lapina Vyacheslav Zolotarev

This book is based on the best papers accepted for presentation during the AISMA-2024: International Workshop on Advanced in Information Security Management and Applications. The book includes research on information security problems and solutions in the field of security awareness, blockchain and cryptography, data analysis, authentication and key distribution, security incidents. The scope of research methods in information security management presents original research, including mathematical models and software implementations, related to the following topics: describing security incidents, blockchain technology, machine learning-based approaches in wireless sensor networks, phishing attack response scenarios, biometric authentication, information security audit procedures, depersonalization process. In addition, some papers focus on dynamics risks infrastructural genesis at critical information infrastructure facilities. Finally, the book gives insights into the some problems in forecasting the development of information security events. The book intends for readership specializing in the field of information security management and applications, information security methods and features.

AIoT and Smart Sensing: A Comprehensive Guide to the Next Generation of Smart Devices

by Fadi Al-Turjman Thinagaran Perumal Thompson Stephan Vaishali R. Kulkarni S Punitha

AIoT and Smart Sensing: A Comprehensive Guide to the Next Generation of Smart Devices offers an in‑depth exploration of the intersection of Artificial Intelligence of Things (AIoT) and smart sensing technologies. As the convergence of AI and IoT reshapes industries, this book serves as an essential guide for understanding the technological foundations, security protocols, and wide‑ranging applications that make AIoT a transformative force. By examining both foundational and applied aspects, this book aims to provide readers with a holistic view of how AIoT is driving innovation in agriculture, healthcare, smart cities, and beyond.What sets this book apart is its dual focus on technological frameworks and real‑world applications. The first part addresses key security issues, technological innovations, and practical implementations. The second part demonstrates AIoT’s impact on diverse sectors, including agriculture, healthcare, and cultural fields. By linking theory with practice, this book not only introduces cutting‑edge concepts but also showcases their potential for revolutionizing industries.Key features include: Comprehensive coverage of AIoT security protocols, including RFID systems, blockchain in healthcare, and multi‑cloud environments in smart cities Detailed case studies on precision farming, AI‑driven crop management, and sustainable agriculture Exploration of AI innovations in medical diagnostics, chronic healthcare management, and personalized patient care Unique cultural applications, such as AI‑based recognition of Carnatic ragas, highlighting AIoT’s versatility Future trends in AIoT for healthcare, including advanced monitoring and diagnostic systems This book is designed for a wide audience, including researchers, professionals, and students in fields such as AI, IoT, healthcare, agriculture, and smart city development. It is an invaluable resource for anyone seeking to understand the future of smart sensing and AIoT‑driven technologies.

AIoT: Artificial Intelligence of Things (Innovations in Intelligent Internet of Everything (IoE))

by Fadi Al-Turjman Arun Sekar Rajasekaran Suganyadevi S.

AIoT: Artificial Intelligence of Things explores the integration of Artificial Intelligence (AI) into everyday objects and devices to allow them to analyze data, make decisions, and communicate with each other, which leads to improved efficiency, convenience, and new possibilities in various aspects of daily life.With a wide-ranging scope, the book covers various aspects of Artificial Intelligence of Things (AIoT) from fundamental concepts to advanced applications. It begins with an introduction to AI, Internet of Things (IoT), and their synergistic relationship and explains how AI technologies enhance the capabilities of IoT devices. The book then explores the key components of AIoT, including sensors, connectivity, data processing, and machine learning algorithms. Highlights include the following: Edge computing and AIoT Privacy and security in AIoT AIoT applications in such domains as healthcare, finance, and manufacturing. Smart cities and AIoT AIoT and wearables Ethical considerations concerning AIoT AIoT and augmented reality and virtual reality AIoT and blockchain AIoT and 5G technology. The book presents AIoT architectures, such as cloud-based, edge-based, and hybrid systems, and discusses their advantages and challenges. Exploring the role of big data analytics in AIoT, it highlights how large-scale data collection and analysis can drive intelligent decision-making and predictive insights. It delves into such AI techniques employed in AIoT systems as natural language processing, computer vision, deep learning, and reinforcement learning.The book concludes with a discussion of emerging trends and future directions in AIoT, which includes the integration of blockchain technology, edge computing, and swarm intelligence. It also discusses the societal implications of AIoT and its effect on the job market, privacy, and ethics.

AIxIA 2020 – Advances in Artificial Intelligence: XIXth International Conference of the Italian Association for Artificial Intelligence, Virtual Event, November 25–27, 2020, Revised Selected Papers (Lecture Notes in Computer Science #12414)

by Matteo Baldoni Stefania Bandini

This book constitutes the refereed post proceedings of the XIXth International Conference of the Italian Association for Artificial Intelligence, AIxIA 2020, held in Milano, Italy, in November 2020.Due to the COVID-19 pandemic, the conference was "rebooted"/ re-organized w.r.t. the original format.The 27 full papers were carefully reviewed and selected from 89 submissions. The society aims at increasing the public awareness of Artificial Intelligence, encouraging the teaching and promoting research in the field.

AIxIA 2021 – Advances in Artificial Intelligence: 20th International Conference of the Italian Association for Artificial Intelligence, Virtual Event, December 1–3, 2021, Revised Selected Papers (Lecture Notes in Computer Science #13196)

by Stefania Bandini Viviana Mascardi Giuseppe Vizzari Francesca Gasparini Matteo Palmonari

​This book constitutes revised selected papers from the refereed proceedings of the 20th International Conference of the Italian Association for Artificial Intelligence, AIxIA 2021, which was held virtually in December 2021.The 36 full papers included in this book were carefully reviewed and selected from 58 submissions; the volume also contains 12 extended and revised workshop contributions. The papers were organized in topical sections as follows: Planning and strategies; constraints, argumentation, and logic programming; knowledge representation, reasoning, and learning; natural language processing; AI for content and social media analysis; signal processing: images, videos and speech; machine learning for argumentation, explanation, and exploration; machine learning and applications; and AI applications.

AIxIA 2022 – Advances in Artificial Intelligence: XXIst International Conference of the Italian Association for Artificial Intelligence, AIxIA 2022, Udine, Italy, November 28 – December 2, 2022, Proceedings (Lecture Notes in Computer Science #13796)

by Agostino Dovier Angelo Montanari Andrea Orlandini

​This book constitutes the refereed proceedings of the XXIst International Conference of the Italian Association for Artificial Intelligence on AIxIA 2022 – Advances in Artificial Intelligence, which was held in Udine, Italy, during November 28–December 2, 2022.The 33 full papers and 1 invited paper presented in this volume were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: Hybrid Approaches; Graphs and Networks; Multiagent Systems; Automated Planning and Scheduling; AI Applications; Miscellany; Natural Language Processing; and Keynote talk.

AIxIA 2023 – Advances in Artificial Intelligence: XXIInd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2023, Rome, Italy, November 6–9, 2023, Proceedings (Lecture Notes in Computer Science #14318)

by Roberto Basili Domenico Lembo Andrea Orlandini Carla Limongelli

This book constitutes the refereed proceedings of the XXIInd International Conference on AIxIA 2023 – Advances in Artificial Intelligence, AIxIA 2023, held in Rome, Italy, during November 6–10, 2023.The 33 full papers included in this book were carefully reviewed and selected from 53 submissions. They were organized in topical sections as follows: Argumentation and Logic Programming, Natural Language Processing, Machine Learning, Hybrid AI and Applications of AI.

AIxIA 2024 – Advances in Artificial Intelligence: XXIIIrd International Conference of the Italian Association for Artificial Intelligence, AIxIA 2024, Bolzano, Italy, November 25–28, 2024 Proceedings (Lecture Notes in Computer Science #15450)

by Marco Montali Alessandro Artale Gabriella Cortellessa

This book constitutes the refereed proceedings of the XXIIIrd International Conference on AIxIA 2024 – Advances in Artificial Intelligence, AIxIA 2024, held in Bolzano, Italy, during November 25–28, 2024. The 24 full papers and 1 invited paper included in this volume were carefully reviewed and selected from 41 submissions. The papers cover the following topics: artificial intelligence; journals; Natural Language Processing, Machine Learning, Hybrid AI and Applications of AI.

AJAX and PHP: Building Modern Web Applications 2nd Edition

by Bogdan Brinzarea Audra Hendrix

This book is a step-by-step, example-driven AJAX tutorial, featuring complete case studies. Each chapter contains a friendly mix of theory and practice, so that your journey through the book will be pleasant, yet efficient. You'll be coding your first AJAX application at the end of the first chapter, and with each new chapter you'll develop increasingly complex AJAX applications featuring advanced techniques and coding patterns. AJAX and PHP: Building Modern Web Applications, 2nd Edition, is written for PHP developers who: Want to learn how to use PHP, JavaScript, MySQL and jQuery to implement Web 2.0 applications Are looking for a step-by-step, example-driven AJAX tutorial Want to learn advanced AJAX coding patterns and techniques and be able to assess the security and SEO implications of their code

AJAX and PHP: Building Responsive Web Applications

by Bogdan Brinzarea

This book is for web developers willing to build better web applications. A basic knowledge of PHP, XML, JavaScript and MySQL, or a strong will to learn-as-you-type, is assumed.

AMP: Building Accelerated Mobile Pages

by Ruadhan O'Donoghue

Engineer naturally lean web pages and leverage the latest web platform features to dramatically boost page speed About This Book • The first book for web developers that shows how to put AMP to work • Improve your website's mobile experience and get more traffic • Practical methods to achieve a step change in performance quickly and easily Who This Book Is For This book is for experienced web developers who are aware of the impact of slow-loading web pages on conversion rates and user engagement, and who are seeking to serve content to their end users in a rich and enticing way using the Accelerated Mobile Pages framework. You should be familiar with HTML5, CSS3, JavaScript, and JSON. What You Will Learn • Build, validate, and deploy AMP pages • Create interactive user notifications, navigation menus, accordions, contact pages with forms and maps • Monetize your traffic with a variety of ad styles and providers • Analyze your traffic by integrating analytics providers and tracking user-behavior along several dimensions • Embed social media with amp-youtube, amp-instagram, amp-twitter, and amp-facebook • Build e-commerce functionality including product pages and shopping carts • Deliver rich media experiences using AMP custom elements • Use advanced deployment techniques to extend functionality • Install ServiceWorkers and build Progressive Web Apps for offline use In Detail Google introduced the Accelerated Mobile Pages (AMP) project to give mobile users lightning-fast response times when accessing web pages on mobile devices. AMP delivers great user experiences by providing a framework for optimizing web pages that otherwise would take much longer to load on a mobile platform. This book shows how to solve page performance issues using the mobile web technologies available today. You will learn how to build instant-loading web pages, and have them featured more prominently on Google searches. If you want your website to succeed on mobile, if you care about SEO, and if you want to stay competitive, then this book is for you! You will go on a mobile web development journey that demonstrates with concrete examples how to build lightning-fast pages that will keep your visitors on-site and happy. This journey begins by showing how to build a simple blog article-style web page using AMP. As new concepts are introduced this page is gradually refined until you will have the skills and confidence to build a variety of rich and interactive mobile web pages. These will include e-commerce product pages, interactive forms and menus, maps and commenting systems, and even Progressive Web Apps. Style and approach Get step-by-step instructions to build web pages of different types, gain expert tricks to brand your pages without bloating them, and see methods to embed advertising.

AOP in .NET: Practical Aspect-Oriented Programming

by Matthew Groves

SummaryAOP in .NET introduces aspect-oriented programming to .NET developers and provides practical guidance on how to get the most benefit from this technique in your everyday coding. The book's many examples concentrate on modularizing non-functional requirements that often sprawl throughout object-oriented projects. Even if you've never tried AOP before, you'll appreciate the straightforward introduction using familiar C#-based examples. AOP tools for .NET have now reached the level of practical maturity Java developers have relied on for many years, and you'll explore the leading options, PostSharp, and Castle DynamicProxy.About the TechnologyCore concerns that cut across all parts of your application, such as logging or authorization, are difficult to maintain independently. In aspect-oriented programming (AOP) you isolate these cross-cutting concerns into their own classes, disentangling them from business logic. Mature AOP tools like PostSharp and Castle DynamicProxy now offer .NET developers the level of support Java coders have relied on for years.About this BookAOP in .NET introduces aspect-oriented programming and provides guidance on how to get the most practical benefit from this technique. The book's many examples concentrate on modularizing non-functional requirements that often sprawl throughout object-oriented projects. You'll appreciate its straightforward introduction using familiar C#-based examples.This book requires no prior experience with AOP. Readers should know C# or another OO language.What's InsideClear and simple introduction to AOPMaximum benefit with minimal theoryPostSharp and Castle DynamicProxyPurchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.About the AuthorMatthew D. Groves is a developer with over ten years of professional experience working with C#, ASP.NET, JavaScript, and PHP.Table of ContentsPART 1 GETTING STARTED WITH AOPIntroducing AOPAcme Car RentalPART 2 THE FUNDAMENTALSOF AOPCall this instead: intercepting methodsBefore and after: boundary aspectsGet this instead: intercepting locationsUnit testing aspectsPART 3 ADVANCED AOP CONCEPTSAOP implementation typesUsing AOP as an architectural toolAspect composition: example and execution

Refine Search

Showing 1,176 through 1,200 of 61,731 results