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Information Systems Engineering and Management

Artificial General-Internet of Things
(AG-IoT) for Robotics: Advanced Compute

Artificial General-Internet of Things (AG-IoT) for Robotics: Advanced Computer Vision Applications and Future Trends

The Impact of Artificial Intelligence on Finance: Transforming Financial Technologies

Blockchain in the Tourism Industry: A New Era of Secure and Transparent Travel Solutions

Demystifying AI and ML for Cyber–Threat Intelligence

Distributed Deep Learning and Explainable AI (XAI) in Industry 4.0

Revolution with Generative AI: Trends and Techniques

This book explores a pioneering exploration of how deep generative models, including generative adversarial networks (GANs) and variational autoencoders (VAEs), renovating early neurological disorder detection. This book is a bridge between computational neuroscience and clinical neurology gaps, providing novel AI-driven methodologies for diagnosing conditions such as Alzheimer’s, Parkinson’s, epilepsy, and neurodevelopmental disorders. With a strong focus on neuroimaging, genomic data analysis, and biomedical informatics, the book equips researchers and practitioners with the tools to improve diagnostic accuracy and decision-making. It includes practical case studies, visual illustrations, and structured methodologies for training and validating deep learning models. Designed for neurologists, radiologists, data scientists, and AI researchers, this book is an essential resource for advancing precision medicine and next-generation healthcare innovation.

Theoretical Insights with Practical Applications

Adversarial Deep Generative Techniques for Early Diagnosis of Neurological Conditions and Mental Health Practises

Practices for Sustainable Manufacturing Industry, Volume 1

Engineering, Technology and Management

Human Resources Development in a Digital Age

Beyond Passwords: Protecting Healthcare with Authentication Security

Navigating the Deepfake Conundrum: A Manager's Roadmap

ICT4GS-2024

International Conference on Technology Advances for Green Solutions and Sustainable Development

Future of AI, IoT, and Sustainability

A foundational introduction to Google Cloud core technologies to help you ace the exam and prepare for a brand-new career In Google Cloud Certified Cloud Digital Leader Study Guide, Google AI Leader, Jon Flynn, delivers an easy-to-follow and authoritative guide to succeeding on the Cloud Digital Leader Exam and on your first day as a Google Cloud professional. In the book, you'll find all the material you need to prepare for this valuable exam, as well as the info that you'll require to collaborate with Google Cloud professionals at your job, whether you're in a business, finance, sales, or marketing role. You'll learn to articulate the capabilities of Google Cloud core products and services and how they might benefit your organization, as well as explain common business use cases of various cloud solutions. The book includes: <ul> <li>Efficient and effective learning strategies for every objective on the Cloud Digital Leader exam, including digital transformation, data innovation, infrastructure and application modernization, security, and operations</li> <li>Job-ready techniques to help you hit the ground running on your first day in your new career as a Google Cloud professional</li> <li>Complimentary access to the online Sybex learning environment, complete with a pre-book assessment quiz, online test bank and practice test, electronic flashcards, and a searchable glossary</li> </ul> The perfect resource for anyone preparing for the foundational Cloud Digital Leader exam, Google Cloud Certified Cloud Digital Study Guide is the ideal book for anyone who collaborates with Google Cloud professionals and those preparing for a new career using Google Cloud core technologies.

Google Cloud Certified Foundational Cloud Digital Leader Study Guide

Develop AI solutions and projects that create real and effective business value with this guide to leading a successful enterprise AI program.

Optimize AI Teams for Value Creation

Leading Enterprise AI Programs

Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders

A story of unexpected love at the end of the world

Some Body Like Me

Evolution and Applications of Quantum Computing

Leveraging AI, Data and Analytics in Travel

Technology-Led Tourism

Gain the Confidence You Need to Succeed

Data and AI Skills

Medical Robots and Devices: New Developments and Advances

Medical Imaging Application in Health Assessment and Disease Management is an all-encompassing book that explores the transformative power of medical imaging in various fields of medicine. It showcases the latest advancements and applications of medical imaging modalities, ranging from neurology and oncology to audiology and osteoporosis. The book highlights the role of medical imaging in understanding and treating neurological conditions, assessing bone health, unraveling hearing disorders, and diagnosing and treating oncological conditions. It also delves into the potential of artificial intelligence and machine learning in improving cancer diagnosis and treatment. The book explores the use of medical imaging in observing mental health conditions such as autism spectrum disorder and stress-related behavioral changes. This comprehensive resource is essential for researchers and professional engineers in the fields of medical image computing/processing, computer science, artificial intelligence, radiology, neuroscience, and biomedical research.

Medical Imaging Application in Health Assessment and Disease Management

Drone Technology: Future Trends and Practical Appl ications

What is Art in the age of inequality, climate change and AI? From leading design group, Metahaven.

Cognitive Futures

The Hard Question of Art

Algorithms have become the key organizer through which power is enacted in our society. A huge amount of data regarding our daily routines are monitored and analyzed to make recommendations that manage, control, and lead our behaviors in everyday life. AI, Humans, and Misinformation: How Does AI Alter Human Behavior and How Do Humans Influence Algorithmic Misinformation? is a guide to understanding the dynamics of AI and misinformation in human contexts by addressing meaningful questions-How does AI alter human behavior and how do humans influence algorithmic decision-making? In answering these questions, this book examines the role of misinformation, disinformation, and fake news, and shows readers how to develop AI methods and algorithms that combat misinformation by using AI design choices that provide users and developers alike with meaningful control over AI. This book brings together various perspectives on algorithms into an integrated conceptual framework, and provides a broad socio-technical analysis, addressing critical and ethical issues of misinformation and fake news. The book offers a compelling insight into the misinformation phenomenon and the future of AI-based society. Readers will find an integrated technical analysis of the logic and social implications of algorithmic processes. Reporting from the cutting edge of critical technical methods and research, the result is useful and constructive for developing the relations between algorithms and humans. This is an imperative methodology for understanding what is at stake as industry and government use AI to reshape the world.

Decoding Bias, Algorithms, and Trust

Minds, Machines, and Misinformation

Artificial General-Internet of Things (AG-IoT) for Robotics: Advanced ...

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