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Gesamtkatalog

Catalogue complet

Emerging Artificial IoT Technologies

Security and Communication in Industrial Applications

Six Dimensions of Business Dark Data

Agentic Hyper-Personalized Dimensions

Powered by Hyperscale Computing and Next Generation Networks

AI-Driven Smart Healthcare

Wendepunkte in der Analogen und Digitalen Welt

Up-to-date reference enabling readers to address the full spectrum of AI security challenges while maintaining model utility Generative AI Security: Defense, Threats, and Vulnerabilities delivers a technical framework for securing generative AI systems, building on established standards while focusing specifically on emerging threats to large language models and other generative AI systems. Moving beyond treating AI security as a dual-use technology, this book provides detailed technical analysis of three critical dimensions: implementing AI-powered security tools, defending against AI-enhanced attacks, and protecting AI systems from compromise through attacks like prompt injection, model poisoning, and data extraction. The book provides concrete technical implementations supported by real-world case studies of actual AI system compromises, examining documented cases like the DeepSeek breaches, Llama vulnerabilities, and Google's CaMeL security defenses to demonstrate attack methodologies and defense strategies while emphasizing foundational security principles that remain relevant despite technological shifts. Each chapter progresses from theoreticalfoundations to practical applications. The book also includes an implementation guide and hands-on exercises focusing on specific vulnerabilities in generative AI architectures, security control implementation, and compliance frameworks. Generative AI Security: Defense, Threats, and Vulnerabilities discusses topics including: <ul> <li>Machine learning fundamentals, including supervised, unsupervised, and reinforcement learning and feature engineering and selection</li> <li>Intelligent Security Information and Event Management (SIEM), covering AI-enhanced log analysis, predictive vulnerability assessment, and automated patch generation</li> <li>Deepfakes and synthetic media, covering image and video manipulation, voice cloning, audio deepfakes, and AI's greater impact on information integrity</li> <li>Security attacks on generative AI, including jailbreaking, adversarial, backdoor, and data poisoning attacks</li> <li>Privacy-preserving AI techniques including federated learning and homomorphic encryption</li> </ul> Generative AI Security: Defense, Threats, and Vulnerabilities is an essential resource for cybersecurity professionals and architects, engineers, IT professionals, and organization leaders seeking integrated strategies that address the full spectrum of Generative AI security challenges while maintaining model utility.

Triangulating AI Security

Radiologie und Betriebswirtschaft – Steuern, Optimieren, TransformierenAlle&nbsp;betriebswirtschaftlich&nbsp;relevanten Aspekte der Radiologie werden in diesem Buch anschaulich dargestellt.Der Radiologe übernimmt im Krankenhaus und in der Niederlassung immer mehr die Rolle eines Prozessmanagers. Im Krankenhaus und in Praxisverbünden wird er dabei von betriebswirtschaftlichen Experten aus dem Controlling unterstützt. Das Verständnis von radiologischen Prozessen und das Wissen um moderne Methoden des Controllings ist dabei für beide Berufsgruppen besonders wichtig. 

Das Buch beschäftigt sich mit den Akteuren und Schnittstellen der Radiologie, der Strategieplanung und dem Einsatz der technischen Geräte aus betriebswirtschaftlicher Perspektive. Themen sind: <ul><li>Kennzahlen für die Prozesseffizienz der Radiologie im Krankenhaus und der Niederlassung,</li><li>das Leistungsgeschehen, </li><li>Personalbedarfsrechnung und Prozesskostenrechnungen, </li><li>das Abrechnungsmanagement. </li></ul>Über das Prozess- und Qualitätsmanagement führt das Buch mit modernen Methoden (z.B. Balanced Scorecard, Service Blueprinting) hin zu ausführlich dargelegten und aktuell hochrelevanten Themen im Bereich des digitalen Dosismanagements der Digitalisierung von Controlling Prozessen und Aufgaben der medizinischen Leistungserbringung.Das Buch spricht die Berufsgruppen leitender Radiologen im Krankenhaus genauso an wie niedergelassene Radiologen und Krankenhausmanager und -administratoren im Bereich der Verwaltung sowie Experten im Bereich des Controllings.

Alle&nbsp;betriebswirtschaftlich&nbsp;relevanten Aspekte der Radiologie werden in diesem Buch anschaulich dargestellt.Der Radiologe übernimmt im Krankenhaus und in der Niederlassung immer mehr die Rolle eines Prozessmanagers. Im Krankenhaus und in Praxisverbünden wird er dabei von betriebswirtschaftlichen Experten aus dem Controlling unterstützt. Das Verständnis von radiologischen Prozessen und das Wissen um moderne Methoden des Controllings ist dabei für beide Berufsgruppen besonders wichtig. Das Buch beschäftigt sich mit den Akteuren und Schnittstellen der Radiologie, der Strategieplanung und dem Einsatz der technischen Geräte aus betriebswirtschaftlicher Perspektive.&nbsp;Themen sind: <ul><li>Kennzahlen für die Prozesseffizienz der Radiologie im Krankenhaus und der Niederlassung,</li><li>das Leistungsgeschehen, </li><li>Personalbedarfsrechnung und Prozesskostenrechnungen, </li><li>das Abrechnungsmanagement. </li></ul>Über das Prozess- und Qualitätsmanagement führt das Buch mit modernen Methoden (z.B. Balanced Scorecard, Service Blueprinting) hin zu ausführlich dargelegten und aktuell hochrelevanten Themen im Bereich des digitalen Dosismanagements der Digitalisierung von Controlling Prozessen und Aufgaben der medizinischen Leistungserbringung.Das Buch&nbsp;spricht&nbsp;die Berufsgruppen&nbsp;leitender Radiologen im Krankenhaus genauso an wie niedergelassene Radiologen und Krankenhausmanager und -administratoren im Bereich der Verwaltung sowie Experten im Bereich des Controllings.

Controlling, Qualitätsmanagement, Digitalisierung

Management in der Radiologie

This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.The book starts with the foundational aspects of Generative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embeddings to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing you with practical insights into leveraging data effectively for intelligent applications. A chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As you progress through the book, you take a journey from conceptualization to production and deployment of Generative AI applications. You discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.The book equips you with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.What You Will Learn<ul><li>Know the core architecture of LLMs and how these models have revolutionized AI applications</li><li>Handle various data types, including unstructured, structured, and personally identifiable information (PII) data in Generative AI applications</li><li>Understand prompt engineering and its importance in AI interactions and applications</li><li>Understand modular design of Generative AI apps, essential backend and frontend components, and the unique principles guiding Generative AI app design</li></ul>&nbsp;&nbsp;

This book is a comprehensive guide that immerses you into the world of building and deploying AI-powered solutions. You are introduced to the core architecture of LLMs and equipped with essential Best Data Practices (BDPs) for utilizing Generative AI responsibly, ensuring ethical and efficient AI deployment.The book starts with the foundational aspects of Gehatnerative AI application development. You will learn the nuances of data handling in Generative AI apps, from working with embeddings to managing unstructured and structured data, and handling Personally Identifiable Information (PII) data. The exploration extends to understanding the differences between deterministic and LLM-based data synthesis and integrating Generative AI apps with enterprise data, providing you with practical insights into leveraging data effectively for intelligent applications. A chapter on prompt engineering explains the importance of prompts in AI interactions, covering a spectrum of techniques and pitfalls while offering exercises to enhance prompt engineering skills. As you progress through the book, you take a journey from conceptualization to production and deployment of Generative AI applications. You discover the essentials of Generative AI application development, gain insights into the pathway from ideation to production, and explore the intricacies of LLM selection and fine-tuning.The book equips you with the knowledge and tools necessary to navigate the complex terrain of AI development and deployment, making it an indispensable resource for AI enthusiasts, developers, and business leaders alike.&nbsp;What You Will Learn<ul><li>Know the core architecture of LLMs and how these models have revolutionized AI applications</li><li>Handle various data types, including unstructured, structured, and personally identifiable information (PII) data in Generative AI applications</li><li>Understand prompt engineering and its importance in AI interactions and applications</li><li>Understand modular design of Generative AI apps, essential backend and frontend components, and the unique principles guiding Generative AI app design</li></ul>&nbsp;Who This Book Is ForFrom AI enthusiasts exploring the field to software developers seeking practical insights, and business leaders looking to harness the power of AI for organizational growth and innovation&nbsp;&nbsp;

Building and Deploying Ethical AI-Powered Solutions

Practical Generative AI: From Concept to Deployment

A Path to Sustainable Development Goals

AI and ML Techniques in IoT-based Communication

Discover how to use AI confidently, responsibly and ethically as an HR practitioner with this practical jargon-free guide.

Understand How to Use Artificial Intelligence in Your HR Role

AI for People Professionals

Machine Learning For Dummies

Building a Program for Strategy and Oversight

Practical AI Governance

This open access book presents a pioneering methodology for dynamic system control, offering a mathematically rigorous and practically effective alternative to conventional state-space models, given that the study of nonlinear control of complex multi-input multi-output (MIMO) systems has faced significant challenges.&nbsp;
Authored by the&nbsp;proposer of the Fully Actuated System (FAS) approach, this book volumes systematically establish a new paradigm for the analysis and design of dynamical control systems. Unlike traditional state-space methods—where control vectors cannot be explicitly solved—the FAS approach provides a model in which control vectors can be fully or partially determined, significantly enhancing control precision and system performance. Since its introduction, the FAS methodology has attracted substantial attention within the global control community and has demonstrated superior capabilities in managing nonlinear control problems.
Key Contributions:

A novel theoretical framework&nbsp;that advances nonlinear feedback control, addressing long-standing unresolved issues.
A structured, multi-volume exposition, covering&nbsp;Global FAS, Sub-FAS, and Unidirectionally Connected FAS, each building on the preceding concepts.
Comprehensive theoretical foundations&nbsp;with rigorous derivations, controller design methodologies, and practical implementation strategies.
Broad applicability, providing researchers with a robust analytical toolset and equipping control engineers with advanced techniques for real-world system development.

This work constitutes a&nbsp;seminal reference&nbsp;for scholars in control theory, nonlinear systems, and applied engineering, offering both a foundational introduction and an advanced framework for research and industrial application.

This open access book presents a pioneering methodology for dynamic system control, offering a mathematically rigorous and practically effective alternative to conventional state-space models, given that the study of nonlinear control of complex multi-input multi-output (MIMO) systems has faced significant challenges.&nbsp;Authored by the&nbsp;proposer of the Fully Actuated System (FAS) approach, this book volumes systematically establish a new paradigm for the analysis and design of dynamical control systems. Unlike traditional state-space methods—where control vectors cannot be explicitly solved—the FAS approach provides a model in which control vectors can be fully or partially determined, significantly enhancing control precision and system performance. Since its introduction, the FAS methodology has attracted substantial attention within the global control community and has demonstrated superior capabilities in managing nonlinear control problems.Key Contributions:<ul><li>A novel theoretical framework&nbsp;that advances nonlinear feedback control, addressing long-standing unresolved issues.</li><li>A structured, multi-volume exposition, covering&nbsp;Global FAS, Sub-FAS, and Unidirectionally Connected FAS, each building on the preceding concepts.</li><li>Comprehensive theoretical foundations&nbsp;with rigorous derivations, controller design methodologies, and practical implementation strategies.</li><li>Broad applicability, providing researchers with a robust analytical toolset and equipping control engineers with advanced techniques for real-world system development.</li></ul>This work constitutes a&nbsp;seminal reference&nbsp;for scholars in control theory, nonlinear systems, and applied engineering, offering both a foundational introduction and an advanced framework for research and industrial application.

Volume I. Global Fully Actuated Systems

Fully Actuated System Approach

Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders

Emerging Artificial IoT Technologies

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