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Gesamtkatalog

Catalogue complet

Nicoletti B: Artificial Intelligence for
Logistics 5.0

Artificial Intelligence for Logistics 5.0

From Foundation Models to Agentic AI

Previous research on finite/fixed/predefined-time control and its relevant sliding mode structures focus on forcing a system state (vector) to converge within a certain time moment, regardless of how each state element converges. Time-Synchronized Control and Applications for Autonomous Systems introduces a control problem with unique finite/fixed/predefined-time stability considerations, namely time-synchronized stability, where at the same time, all the system state elements converge to the origin. This book also delves into the wide-ranging applications of time-synchronized control in various practical control systems, including but not limited to spacecraft attitude control/tracking, satellite orbit control, dynamic positioning of vessels, cooperative control of autonomous vehicles, etc. In addition, a diverse array of control system models are considered, encompassing disturbed systems, chaotic systems, multi-input multi-output (MIMO) systems, nonlinear systems, and Euler-Lagrange systems. Through an in-depth exploration of these specific cases, this book showcases the versatility and effectiveness of time-synchronized control methods across different domains, providing readers with a comprehensive perspective on their practical utility.

Time-Synchronized Control and Applications for Autonomous Systems

Enhancing Reflective Teaching in Higher Education

Redefining Teaching and Learning

GenAI in Higher Education

Building a Program for Strategy and Oversight

Practical AI Governance

Organisation und Pädagogik

Der Begriff der Innovation adressiert das Neue, zielt auf Verbesserung bestehender Lösungen für technologische oder soziale Herausforderungen und setzt die Generierung, Übersetzung und Anwendung neuen Wissens voraus. Grundlage für Innovation sind Kreativität und Offenheit im individuellen, kollektiven und organisationalen Kontext. In Organisationen ist Innovation daher eng mit organisationalem Lernen verknüpft. Im vorliegenden Jahrbuch wird das Thema Organisation und Innovation aus organisationspädagogischer Perspektive sowohl theoretisch als auch empirisch anhand folgender Schwerpunkte diskutiert: Gesellschaftliche Transformation und organisationale Innovation&nbsp; Organisationale Gestaltung und Innovation&nbsp; Organisationales Lernen und Innovation&nbsp; Organisationale Innovation zwischen Erfolg und Scheitern&nbsp;Die Herausgeber*innen&nbsp;Prof. Dr. Stephan Gerhard Huber&nbsp;ist Universitätsprofessor für Leadership, Quality Management und Innovation, Inhaber des Exzellenz-Lehrstuhls an der Johannes Kepler Universität Linz, Leiter des Instituts für Bildungsqualität und Bildungsinnovation in der Schweiz und Leiter der Arbeitsgruppe Personal-, Organisations- und Systementwicklung des Leibniz Instituts IPN Kiel/Berlin.Prof. Dr. Claudia Fahrenwald ist Hochschulprofessorin für Organisationspädagogik mit Schwerpunkt Schulentwicklung an der Pädagogischen Hochschule Oberösterreich. Sie ist Mitherausgeberin der Reihe Organisation und Pädagogik sowie Co-Convenor des Networks Organizational Education der ECER.&nbsp;Prof. Dr. Andreas Schröer ist Universitätsprofessor und Leiter der Abteilung Organisationspädagogik an der Universität Trier. Er ist Mitherausgeber des Handbuchs Organisationspädagogik und der Reihe Organisation und Pädagogik im Springer Verlag sowie Co-Convenor des Networks Organizational Education der ECER.

Jahrbuch der Sektion Organisationspädagogik

Organisation und Innovation

Combining Human Thinking and Creativity with Technology to Inspire Audiences

Authentic Marketing

Artificial Intelligence and Machine Learning in Data Science and Analytics

Images in The Age of Heat

Medium Hot

Advances in Nonlinear Dynamical Systems and Robotics (ANDC)

Swarm Robotics Solutions for National Security and Marine Forensics explores the cutting-edge applications of swarm robotics in safeguarding national security and advancing marine forensics. This book delves into the innovative use of collaborative robotic systems inspired by nature, where multiple autonomous agents work together seamlessly to address complex challenges. From enhancing surveillance and reconnaissance capabilities for national defence to revolutionizing marine forensic investigations, this comprehensive guide highlights the transformative impact of swarm robotics on critical domains. A must-read for researchers, practitioners, and enthusiasts in robotics, artificial intelligence, and security, this book illuminates the future possibilities of swarm robotics in shaping a safer and more secure world.

Swarm Robotics Solutions for National Security and Marine Forensics

Intelligent IoT-based Diagnostic and Assistive Systems for Neurological Disorders

Connected Diagnoses: IoT, Healthcare, and Digital Forensics investigates the complex intersection of IoT, healthcare, and digital forensics. This book explores the intricate relationships between these fields, with a focus on cybersecurity, patient data ethics, and challenges in IoT investigations. This book advances knowledge on leveraging IoT securely to enhance patient care and digital forensic analysis, providing significant insights from experts along with practical guidance for those operating at the crossroads of these critical disciplines. The book helps professionals grasp, adapt to, and capitalize on the interconnected nature of emerging technologies to ensure ethics, security, and safety. It is a comprehensive resource that benefits researchers and practitioners seeking to understand the convergence of medical technology, interconnected devices, and digital forensics.

IoT, Healthcare, and Digital Forensics

Connected Diagnoses

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

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

Artificial Intelligence for Logistics 5.0

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