Chatbots offer exceptional services to end-users due to various factors including the ability to respond to customers' requests quickly according to their convenience. Given the magnitude of research and interest in chatbots, further study on several vital and evolving concerns including human-bot interaction, chatbot adoption, chatbot architecture and design considerations, and chatbot evaluation is required to ensure the technology is utilized appropriately. Trends, Applications, and Challenges of Chatbot Technology provides novel research content and reviews of current chatbot technology and sheds light on challenges and open questions as well as possible research directions. Covering key topics such as human-computer interaction, customer support, and algorithms, this reference work is ideal for computer scientists, industry professionals, policymakers, researchers, academicians, practitioners, scholars, instructors, and students.

This book explains the concepts, history, and implementation of IT infrastructures. Although many of books can be found on each individual infrastructure building block, this is the first book to describe all of them: datacenters, servers, networks, storage, operating systems, and end user devices. The building blocks described in this book provide functionality, but they also provide the non-functional attributes performance, availability, and security. These attributes are explained on a conceptual level in separate chapters, and specific in the chapters about each individual building block. Whether you need an introduction to infrastructure technologies, a refresher course, or a study guide for a computer science class, you will find that the presented building blocks and concepts provide a solid foundation for understanding the complexity of today's IT infrastructures. This book can be used as part of IT architecture courses based on the IS 2010.4 curriculum.

User opinions about service experiences have been extensively acknowledged to play a key role in influencing the consumption decisions of other customers. The widespread adoption of internet technologies has amplified enormously the volume and the potential impact of such customer-generated content in the form of electronic word-of-mouth (eWOM). Exploring the Power of Electronic Word-of-Mouth in the Services Industry is an essential research book that explores the importance of consumer perception and the influence of word-of-mouth in the digital world. Featuring a range of topics such as data mining, online engagement, and social media, this book is ideal for academicians, researchers, IT developers, marketers, managers, media specialists, and professionals.

Uses the two programming languages officially supported in ROS2 (C++, mainly, and Python). Approaches ROS2 from three different but complementary dimensions; the Community, Computation Graph, and the Workspace. Includes a complete simulated robot, development and testing strategies, Behavior Trees, and Nav2 description, setup and use. A GitHub repository with code to assist readers.

Java Card is one of the latest developments in the area of multi-application and platform-independent smart cards. As a working tool for professionals, this easy-to-understand resource provides clear, detailed guidance on smart cards, credit and debit cards, Java Card and Open Card Framework (OCF). It offers in-depth coverage of important standards, open specifications and critical security issues, including common threats and security mechanisms regarding the card and its connection interface. The book explains how to program a Java Card applet, an OCF card service and a terminal application. What's more, the book presents an informative case study on the credit-debit application, offering a detailed road map of the application development process.

Discover why privacy is a counterproductive, if not obsolete, concept in this startling new book It's only a matter of time-- the modern notion of privacy is quickly evaporating because of technological advancement and social engagement. Whether we like it or not, all our actions and communications are going to be revealed for everyone to see. Exposed: How Revealing Your Data and Eliminating Privacy Increases Trust and Liberates Humanity takes a controversial and insightful look at the concept of privacy and persuasively argues that preparing for a post-private future is better than exacerbating the painful transition by attempting to delay the inevitable. Security expert and author Ben Malisow systematically dismantles common notions of privacy and explains how: Most arguments in favor of increased privacy are wrong Privacy in our personal lives leaves us more susceptible to being bullied or blackmailed Governmental and military privacy leads to an imbalance of power between citizen and state Military supremacy based on privacy is an obsolete concept Perfect for anyone interested in the currently raging debates about governmental, institutional, corporate, and personal privacy, and the proper balance between the public and the private, Exposed also belongs on the shelves of security practitioners and policymakers everywhere.

Translation and communication between cultures can sometimes be a difficult process. Image-based assessments can offer a way for large populations to be tested on different subjects without having to create multiple testing programs. Cross-Cultural Analysis of Image-Based Assessments: Emerging Research and Opportunities is an innovative resource that offers insight into the application of visual assessments across a global and intercultural context. Highlighting applicable topics which include visual literacy, psychological assessments, assessment development, and equivalency measurements, this publication is ideal for psychologists, therapists, and researchers who would like to stay current on the most efficient way to test multi-cultural populations in various fields of knowledge.

In today's digital world, the huge amount of data being generated is unstructured, messy, and chaotic in nature. Dealing with such data, and attempting to unfold the meaningful information, can be a challenging task. Feature engineering is a process to transform such data into a suitable form that better assists with interpretation and visualization. Through this method, the transformed data is more transparent to the machine learning models, which in turn causes better prediction and analysis of results. Data science is crucial for the data scientist to assess the trade-offs of their decisions regarding the effectiveness of the machine learning model implemented. Investigating the demand in this area today and in the future is a necessity. The Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science provides an in-depth analysis on both the theoretical and the latest empirical research findings on how features can be extracted and transformed from raw data. The chapters will introduce feature engineering and the recent concepts, methods, and applications with the use of various data types, as well as examine the latest machine learning applications on the data. While highlighting topics such as detection, tracking, selection techniques, and prediction models using data science, this book is ideally intended for research scholars, big data scientists, project developers, data analysts, and computer scientists along with practitioners, researchers, academicians, and students interested in feature engineering and its impact on data.

The highly dynamic world of information technology service management stresses the benefits of the quick and correct implementation of IT services. A disciplined approach relies on a separate set of assumptions and principles as an agile approach, both of which have complicated implementation processes as well as copious benefits. Combining these two approaches to enhance the effectiveness of each, while difficult, can yield exceptional dividends. Balancing Agile and Disciplined Engineering and Management Approaches for IT Services and Software Products is an essential publication that focuses on clarifying theoretical foundations of balanced design methods with conceptual frameworks and empirical cases. Highlighting a broad range of topics including business trends, IT service, and software development, this book is ideally designed for software engineers, software developers, programmers, information technology professionals, researchers, academicians, and students.

This book explores new methods, architectures, tools, and algorithms for Artificial Intelligence Hardware Accelerators. The authors have structured the material to simplify readers’ journey toward understanding the aspects of designing hardware accelerators, complex AI algorithms, and their computational requirements, along with the multifaceted applications. Coverage focuses broadly on the hardware aspects of training, inference, mobile devices, and autonomous vehicles (AVs) based AI accelerators