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

Research in the domains of learning analytics and educational data mining has prototyped an approach where methodologies from data science and machine learning are used to gain insights into the learning process by using large amounts of data. As many training and academic institutions are maturing in their data-driven decision making, useful, scalable, and interesting trends are emerging. Organizations can benefit from sharing information on those efforts. Applying Data Science and Learning Analytics Throughout a Learner's Lifespan examines novel and emerging applications of data science and sister disciplines for gaining insights from data to inform interventions into learners' journeys and interactions with academic institutions. Data is collected at various times and places throughout a learner's lifecycle, and the learners and the institution should benefit from the insights and knowledge gained from this data. Covering topics such as learning analytics dashboards, text network analysis, and employment recruitment, this book is an indispensable resource for educators, computer scientists, faculty of higher education, government officials, educational administration, students of higher education, pre-service teachers, business professionals, researchers, and academicians.

One of the single greatest challenges to security professionals in the 21st century is terrorism. In the last several years, we have heard a lot about the importance of preparing for terrorist attacks. This book offers a way to prevent terrorist attacks. Providing security managers with a clear and simple methodology to protect their organizations, Antiterrorism and Threat Response uses an adaptation of the U.S. Department of Defense's antiterrorism fundamentals and applies it to the private sector to protect companies, facilities, and infrastructures. The book's antiterrorism planning strategies enable security professionals to seize the initiative away from terrorists-setting them off balance and keeping them off balance-thereby disrupting their planning cycle and thwarting attack. The book helps security managers to: Understand the terrorist attack planning cycle Conduct a terrorism threat vulnerability assessment Develop an observation plan and the corresponding verification plan Understand how surveillance detection works Learn how pattern analysis wheels can be used to find weaknesses in security operations Appreciate the role of random antiterrorism measures and learn how to develop them Establish response plans for a wide variety of contingencies related to terrorist attack Adapt this methodology to maritime operations against piracy, individual protection, and travel security in high-risk environments Work with other security departments, the police, and the public to create infrastructure protection zones that will enhance the detection of suspicious events and reduce the likelihood of terrorist attack The book aims to show that terrorists are not defeated by technology alone, but instead by collaboration and the timely passage of relevant information and intelligence. Terrorism is, above all, an act of communication. The terrorists communicate to us through their acts and their carefully crafted communiques. Security professionals need to send the terrorists a clear and simple message in the language they understand: You will not succeed here.

Taller de macros de hoja de c lculo es una obra producto de la experiencia laboral adquirida por m?'s de diez a os, experiencia en programaci n de macros como soluci n a labores y procesos repetitivos, organizaci n del trabajo, etc. El conocimiento viene de diversas maneras, solo es cuesti n de abrir la mente a nuevas posibilidades y formas de trabajar, la inconformidad canalizada de manera positiva siempre nos orillar a buscar stas nuevas opciones, el presente trabajo pretende exponer una manera de c mo cubrir su inconformidad para automatizar la tarea rutinaria a la que est harto de realizar, y que considera que una macro programada por usted puede realizar el trabajo de manera automatizada. Es para m un agrado el compartir mi experiencia con aquellas y aquellos a quienes la inquietud por cambiar la forma en que realizan su trabajo es una b squeda constante siempre para la mejora continua. Sin importar la preparaci n profesional que usted tenga, este libro est dirigido al p blico en general, la condici n es tener conocimientos previos sobre el uso de la hoja de c lculo, mi preparaci n profesional es la contadur a p blica, por lo que no piense que la programaci n es solo para ingenieros en sistemas, licenciados en inform tica o ingenieros en desarrollo de software.

Machine Learning is evolving computation and its application like never before. It is now widely recognized that machine learning is playing a similar role as electricity played in modernizing the world. From simple high school science projects to large-scale radio astronomy, machine learning has revolutionized it all. However, a few of the applications stand out as transforming the world and opening up a new era. The book intends to showcase applications of machine learning that are leading us to the next generation of computing and living standards. The book portrays the application of machine learning to cutting-edge technologies that are playing a prominent role in improving the quality of life and the progress of civilization. The focus of the book is not just machine learning, but its application to specific domains that are resulting in substantial progress of civilization. It is ideal for scientists and researchers, academic and corporate libraries, students, lecturers and teachers, and practitioners and professionals.

The Dark Web is a known hub that hosts myriad illegal activities behind the veil of anonymity for its users. For years now, law enforcement has been struggling to track these illicit activities and put them to an end. However, the depth and anonymity of the Dark Web has made these efforts difficult, and as cyber criminals have more advanced technologies available to them, the struggle appears to only have the potential to worsen. Law enforcement and government organizations also have emerging technologies on their side, however. It is essential for these organizations to stay up to date on these emerging technologies, such as computational intelligence, in order to put a stop to the illicit activities and behaviors presented in the Dark Web. Using Computational Intelligence for the Dark Web and Illicit Behavior Detection presents the emerging technologies and applications of computational intelligence for the law enforcement of the Dark Web. It features analysis into cybercrime data, examples of the application of computational intelligence in the Dark Web, and provides future opportunities for growth in this field. Covering topics such as cyber threat detection, crime prediction, and keyword extraction, this premier reference source is an essential resource for government organizations, law enforcement agencies, non-profit organizations, politicians, computer scientists, researchers, students, and academicians.

The fourth edition of this best-selling guide to Prolog and Artificial Intelligence has been updated to include key developments in the field while retaining its lucid approach to these topics. New and extended topics include Constraint Logic Programming, abductive reasoning and partial order planning. Divided into two parts, the first part of the book introduces the programming language Prolog, while the second part teaches Artificial Intelligence using Prolog as a tool for the implementation of AI techniques. This textbook is meant to teach Prolog as a practical programming tool and so it concentrates on the art of using the basic mechanisms of Prolog to solve interesting problems. The fourth edition has been fully revised and extended to provide an even greater range of applications, making it a self-contained guide to Prolog, AI or AI Programming for students and professional programmers.

The growing presence of social media and computer use has caused significant changes to community engagement. With the ubiquity of these technologies, there is increasing engagement in social and political policies and changes. Online Communities as Agents of Change and Social Movements is a pivotal reference source for the latest research on relevant theoretical and practical frameworks regarding online communities and social media as agents of social and political change. Featuring extensive coverage on relevant areas such as computer use, online engagement, and collective action, this publication is an ideal resource for researchers, academics, practitioners, and students in the fields of social psychology, social network analysis, media studies, information systems, and political science.