Stochastic processes have a wide range of applications ranging from image processing, neuroscience, bioinformatics, financial management, and statistics. Mathematical, physical, and engineering systems use stochastic processes for modeling and reasoning phenomena. While comparing AI-stochastic systems with other counterpart systems, we are able to understand their significance, thereby applying new techniques to obtain new real-time results and solutions. Stochastic Processes and Their Applications in Artificial Intelligence opens doors for artificial intelligence experts to use stochastic processes as an effective tool in real-world problems in computational biology, speech recognition, natural language processing, and reinforcement learning. Covering key topics such as social media, big data, and artificial intelligence models, this reference work is ideal for mathematicians, industry professionals, researchers, scholars, academicians, practitioners, instructors, and students.

A level of decision making is concerned with deciding the organization's objectives, resources, and policies. A significant problem at this decision-making level is predicting the organization's future and its environment as well as matching the organization's characteristics to that environment. This process generally involves technology and knowledge from the market and clients. In the current era, the implementation of marketing information systems supported with AI techniques is crucial to being a unique opportunity to leverage marketing strategies with cutting-edge technologies. Global Perspectives on the Strategic Role of Marketing Information Systems communicates the recent advances in marketing information systems. Covering topics such as digital entrepreneurship, international business, and micro and small enterprises, this premier reference source is a cutting-edge resource for marketers, entrepreneurs, business leaders and managers, IT managers, students and educators of higher education, librarians, researchers, and academicians.

Digital evolution has become increasingly present in our lives, whether on cellphones, computers, watches, or other appliances. As a result of the wide access we have to the digital world, the amount of data generated daily is vast. This density of information generated at every moment can be the insight needed for the success of an organization. Much is said about data-based decision-making to generate the best results. The new capabilities of data intelligence unleashed by the emergence of cloud computing and artificial intelligence make it one of the most promising areas of digital transformation change management. Enhancing Business Communications and Collaboration Through Data Science Applications provides relevant theoretical frameworks and the latest empirical research findings in the area. It is written for professionals who wish to improve their understanding of the strategic role of trust at different levels of the information and knowledge society. Covering topics such as data science, online business communication, and user-centered design, this premier reference source is an ideal resource for business managers and leaders, entrepreneurs, data scientists, data analysts, sociologists, students and educators of higher education, librarians, researchers, and academicians.

This forward-looking Research Handbook showcases cutting-edge research on the relationship between international migration and digital technology. It sheds new light on the interlinkages between digitalisation and migration patterns and processes globally, capturing the latest research technologies and data sources. Featuring international migration in all facets from the migration of tech sector specialists through to refugee displacement, leading contributors offer strategic insights into the future of migration and mobility. Covering diverse geographies and using interdisciplinary approaches, contributions provide new analysis of migration futures. A discrete chapter on digital technology and COVID-19 global pandemic offers reflections on how migration and mobility are being profoundly reshaped by the global pandemic. The practical applications and limitations of digital technology in relation to international migration are also highlighted and supported with key case studies. Analytical yet accessible, this Research Handbook will be an invaluable resource for students and scholars in the fields of migration and digital technology, while also being of benefit to policy makers and civil society actors specialising in migration.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Bestselling CompTIA A+ author Mike Meyers provides hands-on, step-by-step labs-updated for the 2012 release of Exam 220-802-so you can practice the IT skills essential for your successMike Meyers' CompTIA A+ Guide to Managing and Troubleshooting Operating Systems Lab Manual, Fourth Edition contains more than 80 labs that challenge you to solve real-world problems with key concepts. Clear, measurable lab objectives map to certification exam objectives, ensuring direct correspondence to Mike Meyers' CompTIA A+ Guide to Managing and Troubleshooting Operating Systems, Fourth Edition. Lab solutions are only available to instructors and are not printed inside the book. The Lab Manual also includes materials lists and lab set-up instructions. Step-by-step, not click-by click, lab scenarios require you to think critically, and Hint and Warning icons guide you through potentially tricky situations. Post-lab observation questions measure your understanding of lab results and the key term quiz helps to build your vocabulary.

Multi Criteria Decision Making (MCDM) is a generic term for all methods that help people making decisions according to their preferences, in situations where there is more than one conflicting criterion. It is a branch of operational research dealing with finding optimal results in complex scenarios including various indicators, conflicting objectives and criteria. The approach of MCDM involves decision making concerning quantitative and qualitative factors. The importance and success of MCDM are due to the fact that they have successfully dealt with different types of problematics for supporting decision makers such as choice, ranking and sorting, description. Even though, each of the different problematics in MCDM is important, Multi-Criteria Decision-Making Sorting Methods will focus on sorting approaches across a wide range of interesting techniques and research disciplines. The applications which have been and can be solved by these techniques are more and more important in current real-world decision-making problems. Therefore, the book provides a clear overview of MCDM sorting methods and the different tools which can be used to solve real-world problems by revising such tools and characterizing them according to their performance and suitability for different types of problems. The book is aimed at a broad audience including computer scientists, engineers, geography and GIS experts, business and financial management experts, environment experts, and all those professional people interested in MCDM and its applications. The book may also be useful for teaching MCDM courses in fields such as industrial management, computer science, and applied mathematics, as new developments in multi-criteria decision making.

In this timely collection, gender, sex, and technology are explored through an intersectional and interdisciplinary lens. Gender, Sex, and Tech! provides insight into the ways that technology affects, and is affected by, cultural perceptions of gender and sex. Through an examination of a range of past and present issues, the text highlights our relationships to technology and illustrates how gendered relations are shaped and transformed through social and technological innovations.Contributors bring to the fore feminist, decolonizing, and anti-racist methods to examine our everyday uses of technology, from the mundane to the surreal to the playful to the devastating. Original research and scholarship is skillfully grounded in real-world scenarios like revenge pornography, gender bias in artificial intelligence, menstrual tracking, online dating, and the COVID-19 pandemic, inviting students to take a closer look at technological transformations and their impact on gendered lived experience and to consider how the benefits of technology are inequitably shared within society. Centring Canadian scholars and Canadian perspectives without losing sight of the broader global connection, Gender, Sex, and Tech! is bursting with timely and of-the-moment content, making this collection a must-read for courses focused on gender and technology.

This print textbook is available for students to rent for their classes. The Pearson print rental program provides students with affordable access to learning materials, so they come to class ready to succeed. A top-down, layered approach to computer networking. Unique among computer networking texts, the 8th Edition of the popular Computer Networking: A Top Down Approach builds on the authors' long tradition of teaching this complex subject through a layered approach in a "top-down manner." The text works its way from the application layer down toward the physical layer, motivating students by exposing them to important concepts early in their study of networking. Focusing on the Internet and the fundamentally important issues of networking, this text provides an excellent foundation for students in computer science and electrical engineering, without requiring extensive knowledge of programming or mathematics. The 8th Edition has been updated to reflect the most important and exciting recent advances in networking, including the importance of software-defined networking (SDN) and the rapid adoption of 4G/5G networks and the mobile applications they enable.

There has been an increased use of technology in educational settings since the start of the COVID-19 pandemic. Despite the benefits of including such technologies to support education, there is still the need for vigilance to counter the inherent risk that comes with the use of such technologies as the protection of students and their information is paramount to the effective deployment of any technology in education. Current Trends in Cybersecurity and Educational Technology explores the full spectrum of cybersecurity and educational technology today and brings awareness to the recent developments and use cases for emergent educational technology. Covering key topics such as artificial intelligence, gamification, robotics, and online learning, this premier reference source is ideal for computer scientists, industry professionals, policymakers, administrators, researchers, academicians, scholars, practitioners, instructors, and students.

A smart, incisive take-down of the bogus claims being made about so-called ‘artificial intelligence’, exposing the real harm these technologies do to our jobs, health, society and environment, who stands to gain from them, and how to fight back.

Is AI going to take over the world? Have scientists created an artificial lifeform that can think on its own? Is it going to replace all our jobs, even creative ones, like doctors, teachers and care-workers? Are we about to enter an age where computers are better than humans at everything?

The answers to these questions, as the expert authors of The AI Con make clear, are 'no', 'they wish', 'LOL', and 'definitely not'. In fact, these fears are all symptoms of the hype being used by tech corporations to justify data theft, motivate surveillance capitalism, and devalue human creativity so they can replace meaningful work with jobs that treat people like machines. Meanwhile, across healthcare, education, media, government and law-enforcement, ‘AI’ products are already being introduced that are unreliable, ineffective, unjust and dangerous.

Packed with real-world examples, pithy arguments and expert insights, The AI Con arms you to spot AI hype in all its guises, expose the exploitation and power-grabs it aims to hide, and push back against it at work and in your daily life.

Up-to-date coverage of every topic on the CEH v11 exam This effective self-study guide covers 100% of the EC Council's Certified Ethical Hacker Version 11 exam objectives. The book discusses the latest ethical hacking tools, techniques, and exploits. Readers will find learning objectives at the beginning of each chapter, step-by-step exercises, exam tips, practice exam questions, and in-depth explanations. An integrated test preparation system based on proven pedagogy, CEH Certified Ethical Hacker All-in-One Exam Guide, Fifth Edition covers all five phases of ethical hacking: reconnaissance, gaining access, enumeration, maintaining access, and covering tracks. Readers will learn about malware, hacking Web applications and mobile platforms, cloud computing vulnerabilities, and more. Designed to help candidates pass the exam with ease, this authoritative resource also serves as an essential on-the-job reference. Complete coverage of all CEH v11 exam objectives Includes online access to the Total Tester customizable practice exam software containing 300 practice questions Written by an experienced educator with more than 20 years of experience in the field

This book proposes various deep learning models featuring how deep learning algorithms have been applied and used in real-life settings. The complexity of real-world scenarios and constraints imposed by the environment, together with budgetary and resource limitations, have posed great challenges to engineers and developers alike, to come up with solutions to meet these demands. This book presents case studies undertaken by its contributors to overcome these problems. These studies can be used as references for designers when applying deep learning in solving real-world problems in the areas of vision, signals, and networks.The contents of this book are divided into three parts. In the first part, AI vision applications in plant disease diagnostics, PM2.5 concentration estimation, surface defect detection, and ship plate identification, are featured. The second part introduces deep learning applications in signal processing; such as time series classification, broad-learning based signal modulation recognition, and graph neural network (GNN) based modulation recognition. Finally, the last section of the book reports on graph embedding applications and GNN in AI for networks; such as an end-to-end graph embedding method for dispute detection, an autonomous System-GNN architecture to infer the relationship between Apache software, a Ponzi scheme detection framework to identify and detect Ponzi schemes, and a GNN application to predict molecular biological activities.

Affective computing is a nascent field situated at the intersection of artificial intelligence with social and behavioral science. It studies how human emotions are perceived and expressed, which then informs the design of intelligent agents and systems that can either mimic this behavior to improve their intelligence or incorporate such knowledge to effectively understand and communicate with their human collaborators. Affective computing research has recently seen significant advances and is making a critical transformation from exploratory studies to real-world applications in the emerging research area known as applied affective computing. This book offers readers an overview of the state-of-the-art and emerging themes in affective computing, including a comprehensive review of the existing approaches to affective computing systems and social signal processing. It provides in-depth case studies of applied affective computing in various domains, such as social robotics and mental well-being. It also addresses ethical concerns related to affective computing and how to prevent misuse of the technology in research and applications. Further, this book identifies future directions for the field and summarizes a set of guidelines for developing next-generation affective computing systems that are effective, safe, and human-centered. For researchers and practitioners new to affective computing, this book will serve as an introduction to the field to help them in identifying new research topics or developing novel applications. For more experienced researchers and practitioners, the discussions in this book provide guidance for adopting a human-centered design and development approach to advance affective computing.

Data Ethics of Power takes a reflective and fresh look at the ethical implications of transforming everyday life and the world through the effortless, costless, and seamless accumulation of extra layers of data. By shedding light on the constant tensions that exist between ethical principles and the interests invested in this socio-technical transformation, the book bridges the theory and practice divide in the study of the power dynamics that underpin these processes of the digitalization of the world. Gry Hasselbalch expertly draws on nearly two decades of experience in the field, and key literature, to advance a better understanding of the challenges faced by big data and AI developers. She provides an innovative ethical framework for studying and governing Big-Data and Artificial Intelligence. Offering both a historical account and a theoretical analysis of power dynamics and their ethical implications, as well as incisive ideas to guide future research and governance practices, the book makes a significant contribution to the establishment of an emerging data and AI ethics discipline. This timely book is a must-read for scholars studying AI, data, and technology ethics. Policymakers in the regulatory, governance, public administration, and management sectors will find the practical proposals for a human-centric approach to big data and AI to be a valuable resource for revising and developing future policies.

This thought-provoking book challenges the way we think about the regulation of cryptoassets based on cryptographic consensus technology. Bringing a timely new perspective, Syren Johnstone critiques the application of a financial regulation narrative to cryptoassets, questions the assumptions on which it is based, and considers its impact on industry development. Providing new insights into the dynamics of oversight regulation, Johnstone argues that the financial narrative stifles the 'New Prospect' for the formation of novel commercial relationships and institutional arrangements. The book asks whether regulations developed in the 20th century remain appropriate to apply to a technology emerging in the 21st, suggesting it is time to think about how to regulate for ecosystem development. Johnstone concludes with proposals for reform, positing a new framework that facilitates industry aspirations while remaining sustainable and compatible with regulatory objectives. Rethinking the Regulation of Cryptoassets will be an invaluable read for policy makers, regulators and technologists looking for a deeper understanding of the issues surrounding cryptoasset regulation and possible alternative approaches. It will also be of interest to scholars and students researching the intersection of law, technology, regulation and finance.

Creativity has been integral to the development of the modern State, and yet it is becoming increasingly sidelined, especially as a result of the development of new machinic technologies including 3D printing. Arguing that inner creativity has been endangered by the rise of administrative regulation, James Griffin explores a number of reforms to ensure that upcoming regulations do take creativity into account. The State of Creativity examines how the State has become distanced from individual processes of creativity. This book investigates how the failure to incorporate creativity into administrative regulation is, in fact, adversely impacting the regulation of new technologies such as 3D and 4D printing and augmented reality, by focusing on issues concerning copyright and patents. This is an important read for intellectual property law scholars, as well as those studying computer science who wish to gain a more in-depth understanding of the current laws surrounding digital technologies such as 3D printing in our modern world. Legal practitioners wanting to remain abreast of developments surrounding 3D printing will also benefit from this book.

The medical domain is home to many critical challenges that stand to be overcome with the use of data-driven clinical decision support systems (CDSS), and there is a growing set of examples of automated diagnosis, prognosis, drug design, and testing. However, the current state of AI in medicine has been summarized as "high on promise and relatively low on data and proof." If such problems can be addressed, a data-driven approach will be very important to the future of CDSSs as it simplifies the knowledge acquisition and maintenance process, a process that is time-consuming and requires considerable human effort. Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems critically reflects on the challenges that data-driven CDSSs must address to become mainstream healthcare systems rather than a small set of exemplars of what might be possible. It further identifies evidence-based, successful data-driven CDSSs. Covering topics such as automated planning, diagnostic systems, and explainable artificial intelligence, this premier reference source is an excellent resource for medical professionals, healthcare administrators, IT managers, pharmacists, students and faculty of higher education, librarians, researchers, and academicians.

Zeroing Neural Networks Describes the theoretical and practical aspects of finite-time ZNN methods for solving an array of computational problems Zeroing Neural Networks (ZNN) have become essential tools for solving discretized sensor-driven time-varying matrix problems in engineering, control theory, and on-chip applications for robots. Building on the original ZNN model, finite-time zeroing neural networks (FTZNN) enable efficient, accurate, and predictive real-time computations. Setting up discretized FTZNN algorithms for different time-varying matrix problems requires distinct steps. Zeroing Neural Networks provides in-depth information on the finite-time convergence of ZNN models in solving computational problems. Divided into eight parts, this comprehensive resource covers modeling methods, theoretical analysis, computer simulations, nonlinear activation functions, and more. Each part focuses on a specific type of time-varying computational problem, such as the application of FTZNN to the Lyapunov equation, linear matrix equation, and matrix inversion. Throughout the book, tables explain the performance of different models, while numerous illustrative examples clarify the advantages of each FTZNN method. In addition, the book: Describes how to design, analyze, and apply FTZNN models for solving computational problems Presents multiple FTZNN models for solving time-varying computational problems Details the noise-tolerance of FTZNN models to maximize the adaptability of FTZNN models to complex environments Includes an introduction, problem description, design scheme, theoretical analysis, illustrative verification, application, and summary in every chapter Zeroing Neural Networks: Finite-time Convergence Design, Analysis and Applications is an essential resource for scientists, researchers, academic lecturers, and postgraduates in the field, as well as a valuable reference for engineers and other practitioners working in neurocomputing and intelligent control.

The comprehensive compendium furnishes a quick and efficient entry point to many multiresolution techniques and facilitates the transition from an idea into a real project. It focuses on methods combining several soft computing techniques (fuzzy logic, neural networks, genetic algorithms) in a multiresolution framework.Illustrated with numerous vivid examples, this useful volume gives the reader the necessary theoretical background to decide which methods suit his/her needs.New materials and applications for multiresolution analysis are added, including notable research topics such as deep learning, graphs, and network analysis.

In today's digital society, organizations must utilize technology in order to engage their audiences. Innovative game-like experiences are an increasingly popular way for businesses to interact with their customers; however, correctly implementing this technology can be a difficult task. To ensure businesses have the appropriate information available to successfully utilize gamification in their daily activities, further study on the best practices and strategies for implementation is required. The Handbook of Research on Gamification Dynamics and User Experience Design considers the importance of gamification in the context of organizations' improvements and seeks to investigate game design from the experience of the user by providing relevant academic work, empirical research findings, and an overview of the field of study. Covering topics such as digital ecosystems, distance learning, and security awareness, this major reference work is ideal for policymakers, technology developers, managers, government officials, researchers, scholars, academicians, practitioners, instructors, and students.