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Fidel Raya: Human Information
Interaction

Human Information Interaction

An Ecological Approach to Information Behavior

Andrew Davison proposes a new philosophy of data modeled on the affective and ethical qualities of the encounter between a reader and a literary text and demonstrates its significance for understanding urgent social and political issues.

A Poetic Philosophy of Political Analysis

Close Encounters

Work, Love, and Play in a Changing World

Co-Existing with AI

This book focuses on how the interests of corporations and governments to embrace a "new economy" have served to drive the development and uptake of mobile/ubiquitous media.

Everything, Everywhere, All the Time

Ubiquitous Connectivity and the Virtual Workplace

Cambridge Handbooks in Psychology

The Cambridge Handbook of Behavioural Data Science

Chapman & Hall/CRC Studies in Informatics Series

Presenting first-order and propositional methods as well as implementation issues, this book provides a state-of-the-art introduction to the automation of logic. It focuses on superposition calculus and related rewriting techniques. It also covers decision procedures for certain theories and includes real-world applications. Along with the relevant theory, each chapter contains implementation methods, historical background, suggestions for further reading, and software. Supplemental materials and resources are provided on the book's website and a solutions manual is available for qualifying instructors.

Automation of Logic

Within 5 years the most important conversations you have won't be with the people around you. They will be with increasingly smart machines that are integrated into every aspect of your personal and professional life. It's already happening. Artificial intelligences - not other humans - are becoming our trusted companions: we increasingly rely on them to assist with work, advise on our finances, guide our relationships, act as our therapist, and plan our social lives. Those who can talk well with machines will see their lives transformed. Better jobs, better relationships, wiser investments. Those that can't will be left behind. But speaking with machines is not like speaking with other humans. They don't think like us, and they don't respond like us. This book will show you how to communicate properly with these powerful new companions. And in doing so, stay ahead of the revolution.

The most important conversations of your life

How to Talk to AI

Computational Intelligence in Surveillance Systems Using Image Processing

Artificial intelligence technology has entered an extraordinary phase of fast development and wide application. The techniques developed in traditional AI research areas, such as computer vision and object recognition, have found many innovative applications in an array of real-world settings. The general methodological contributions from AI, such as a variety of recently developed deep learning algorithms, have also been applied to a wide spectrum of fields such as surveillance applications, real-time processing, IoT devices, and health care systems. The state-of-the-art and deep learning models have wider applicability and are highly efficient. Deep Learning in Action: Image and Video Processing for Practical Use provides a comprehensive and accessible resource for both intermediate to advanced readers seeking to harness the power of deep learning in the domains of video and image processing. The book bridges the gap between theoretical concepts and practical implementation by emphasizing lightweight approaches, enabling readers to efficiently apply deep learning techniques to real-world scenarios. It focuses on resource-efficient methods, making it particularly relevant in contexts where computational constraints are a concern.

Deep Learning in Action: Image and Video Processing for Practical Use

Textile Institute Professional Publications

Artificial Intelligence, Virtual, and Other Emerging Applications

Digital Fashion

Coding for Erasure Channels

Advances in Nonlinear Dynamical Systems and Robotics (ANDC)

Fractional Modeling of Fluid Flow and Transport Phenomena focuses on mathematical and numerical aspects of fractional-order modeling in fluid flow and transport phenomena. The book covers fundamental concepts, advancements, and practical applications, including modeling developments, numerical solutions, and convergence analysis for both time and space fractional order models. Various types of flows are explored, such as single- and multi-phase flows in porous media, involving different fluid types like Newtonian, non-Newtonian, nanofluids, and ferrofluids. This book serves as a comprehensive reference on fractional-order modeling of fluid flow and transport phenomena, offering a single resource that is currently unavailable. Fractional-order modeling has gained traction in engineering and science, particularly in fluid dynamics and transport phenomena. However, its mathematical and numerical advancements have progressed relatively slowly compared to other aspects. Therefore, this book emphasizes the fractional-order modeling of fluid flow and transport phenomena to bridge this gap. Each chapter in the book delves into a specific topic closely related to the others, ensuring a cohesive and self-contained structure.

Fractional Modeling of Fluid Flow and Transport Phenomena

Human Information Interaction

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