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Data science has been playing a vital role in almost all major fields. Many researchers are interested in the development of IT applications, which are user-driven with a focus on issues. This can be addressed using data science. User-driven research and data science have gained much attention from many private, public, and government organizations and research institutions. Designing User Interfaces With a Data Science Approach promotes the inclusion of more diversified users for user-centered designs of applications across domains and analyzes user data with a data science approach for effective and user-friendly user interface designs. It introduces the foundations of advanced topics of human-computer interaction, particularly with user-centered designs and techniques. Covering topics such as artificial neural networks, natural dialog systems, and machine learning, this book is an essential resource for faculty, research scholars, industry professionals, students of higher education, mathematicians, data scientists, interaction designers, visual designers, software engineers, user experience researchers, accessibility engineers, cognitive system engineers, academicians, and libraries.
Most programmers' fear of user interface (UI) programming comes from their fear of doing UI design. They think that UI design is like graphic design—the mysterious process by which creative, latte-drinking, all-black-wearing people produce cool-looking, artistic pieces. Most programmers see themselves as analytic, logical thinkers instead—strong at reasoning, weak on artistic judgment, and incapable of doing UI design. In this brilliantly readable book, author Joel Spolsky proposes simple, logical rules that can be applied without any artistic talent to improve any user interface, from traditional GUI applications to websites to consumer electronics. Spolsky's primary axiom, the importance of bringing the program model in line with the user model, is both rational and simple. In a fun and entertaining way, Spolky makes user interface design easy for programmers to grasp. After reading User Interface Design for Programmers, you'll know how to design interfaces with the user in mind. You'll learn the important principles that underlie all good UI design, and you'll learn how to perform usability testing that works.
Even though many data analytics tools have been developed in the past years, their usage in the field of cyber twin warrants new approaches that consider various aspects including unified data representation, zero-day attack detection, data sharing across threat detection systems, real-time analysis, sampling, dimensionality reduction, resource-constrained data processing, and time series analysis for anomaly detection. Further study is required to fully understand the opportunities, benefits, and difficulties of data analytics and the internet of things in today’s modern world. New Approaches to Data Analytics and Internet of Things Through Digital Twin considers how data analytics and the internet of things can be used successfully within the field of digital twin as well as the potential future directions of these technologies. Covering key topics such as edge networks, deep learning, intelligent data analytics, and knowledge discovery, this reference work is ideal for computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.
In the complex field of academic scholarship, educators and scholars often encounter the challenge of designing effective learning scenarios that align with various educational objectives. The process involves meticulous planning, consideration of diverse pedagogical approaches, and adapting strategies to different circumstances and situations. The need for innovative solutions in pedagogy has never been more pressing, with topics ranging from instructional design to emerging techno pedagogical practices demanding attention. Academic scholars are yearning for a comprehensive guide that not only dissects the intricacies of these challenges but also offers transformative solutions to navigate the evolving landscape of education. Innovative Instructional Design Methods and Tools for Improved Teaching is a groundbreaking book meticulously crafted to address the pressing issues faced by academic scholars today. This book transcends the conventional boundaries of educational discourse, offering a roadmap for designing learning activities beyond routine exercises. It unveils a comprehensive approach, integrating pedagogical strategies and innovative teaching practices, providing educators with the tools they need to revolutionize their approach to instruction. This book is a solution to the challenges educators face in the contemporary academic landscape, providing a transformative guide for those seeking to excel in the dynamic field of pedagogy.
Almost every element of life, from commerce and agriculture to communication and entertainment, has been profoundly altered by computing. Around the world, people rely on computers for the creation of systems for energy, transportation, and military use. Additionally, computing fosters scientific advancements that advance our basic understanding of the world and assist in finding answers to pressing health and environmental issues. Novel Research and Development Approaches in Heterogeneous Systems and Algorithms addresses novel research and developmental approaches in heterogenous systems and algorithms for information-centric networks of the future. Covering topics such as image identification and segmentation, materials data extraction, and wireless sensor networks, this premier reference source is a valuable resource for engineers, consultants, practitioners, computer scientists, students and educators of higher education, librarians, researchers, and academicians.
In providing a theoretical framework for understanding human- computer interaction as well as design of user interfaces, this book combines elements of anthropology, psychology, cognitive science, software engineering, and computer science. The framework examines the everyday work practices of users when analyzing and designing computer applications. The text advocates the unique theory that computer application design is fundamentally a collective activity in which the various practices of the participants meet in a process of mutual learning.
This is both the first authoritative treatment of OOUi and a book which will help designers, developers, analysts, and many others understand and apply object-oriented analysis to user interfaces. Collins delivers a single conceptual model to guide both external and internal design of the user interface. A set of figures, examples, and case studies illustrates the development of new applications and functions & --both stand-alone and integrated & --with existing environments. Throughout, the methodology is grounded in object-oriented principles that are consistent with other object-oriented methodologies for system and database design.
This book addresses the new interaction modalities that are becoming possible with new devices by looking at user interfaces from an input perspective. It deals with modern input devices and user interaction and design covering in-depth theory, advanced topics for noise reduction using Kalman Filters, a case study, and multiple chapters showing hands-on approaches to relevant technology, including modern devices such as the Leap-Motion, Xbox One Kinect, inertial measurement units, and multi-touch technology. It also discusses theories behind interaction and navigation, past and current techniques, and practical topics about input devices.
Today, computation is an essential component of every technology. However, there has not been much research on quantum computing, even though it has the capability to solve complex problems in an efficient way. Further study is required to fully understand the uses and benefits of this technology. The Handbook of Research on Quantum Computing for Smart Environments presents investigating physical realizations of quantum computers, encoders, and decoders, including photonic quantum realization, cavity quantum electrodynamics, and many more topics on Bits to Qubits. Covering key topics such as machine learning, software, quantum algorithms, and neural networks, this major reference work is ideal for engineers, computer scientists, physicists, mathematicians, researchers, academicians, scholars, practitioners, instructors, and students.
Cyber-professionals recognize that some defensive measures could exacerbate cyber-defense challenges by motivating attackers to adapt—unintentionally inspiring attackers to develop more potent and resilient capabilities. Further study in this area is required to ensure defense and security practices are up to date. Adaptive Security and Cyber Assurance for Risk-Based Decision Making explores decision making in the context of software-based systems and discusses why it is difficult to achieve. It also identifies a discipline termed cyber-assurance, which considers the interactions of assurance-enhancing technology, system architecture, and the development life cycle. Covering key topics such as cyber assurance, security, and defensive operations, this premier reference source is ideal for industry professionals, computer scientists, academicians, engineers, researchers, scholars, practitioners, librarians, instructors, and students.