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Innovations in Intelligent Internet of Everything IoE

Biomedical Applications of AI and IoMT
in Smart Healthcare

Biomedical Applications of AI and IoMT in Smart Healthcare

Messe-, Kongress- und Eventmanagement

'Event Infrastructure': This anthology, edited by Axel Barwich, brings together theses addressing key issues in modern event technology. The focus is on event logistics, LoRaWAN sensor technology, remote mixing, generative AI in lighting design, technical needs assessment, safety considerations, as well as vibe coding and cybersecurity. The contributions combine scientific analysis with concrete applications and highlight both the potential and limitations of current solutions.

Mobilität, Technik und KI

Infrastruktur für Veranstaltungen

Turn your great ideas into funded projects with confidence Grant funding opens doors for nonprofits, businesses, and individuals -- and the application process doesn't have to feel overwhelming. Grant Writing For Dummies walks you through the entire cycle, from finding the right funding opportunities to crafting competitive proposals that clearly communicate your mission. Written by Kim Joyce, a Grant Professional Certified consultant who has helped clients secure millions in awards, this guide sets you up for success. Get step-by-step guidance on navigating online grant portals, understanding the latest terminology, and managing your grant after it's awarded. You'll also find practical advice on focusing your proposals toward demonstrable outcomes -- something funders increasingly prioritize -- and learn how to handle new federal budget and compliance requirements. Plus, get the scoop on ethical AI use in grant applications and diversifying your revenue streams. Inside this book: <ul> <li>Learn the full grant writing process from scratch, including how to find opportunities that match your specific needs</li> <li>Build compelling proposals that clearly articulate your organization's mission, priorities, and measurable outcomes to potential funders</li> <li>Navigate online submission portals with confidence and follow best practices for creating competitive electronic grant applications</li> <li>Discover how to manage post-award activities effectively, including compliance requirements, fiscal management, and cost allocation strategies</li> <li>Explore ethical approaches to using AI tools in your grant research, proposal drafting, and application review process</li> </ul> Whether you're a nonprofit leader, a business owner seeking project funding, or an individual looking for tuition support, this Dummies guide gives you the tools and know-how to write winning grant proposals. Let's get your project funded!

Grant Writing For Dummies

Joint Ventures Involving Tax-Exempt Organizations, 2026 Cumulative Supplement

Beck international

The Book Artificial Intelligence will profoundly shape the future economy and society. Whereas the potential benefits are notable and desirable, the risk of serious harm is considerable. The new EU AI Act 2024/1689 therefore seeks to provide a legal framework to regulate AI systems in the EU. Written by an international team of experts, this Article-by-Article Commentary provides a comprehensive analysis and explanation of each of the provisions of the AI Act to assist in the interpretation and application. Each commentary follows a clear and uniform structure, also providing key information on the function and context of each provision. Where appropriate, practice tips are also given. The Advantages at a Glance<ul><li>Comprehensive analysis</li><li>International team of renowned experts</li><li>Clear and uniform structure</li></ul> The Target Group For in-house counsel, legal practitioners, scholars, supervisory authorities, industry groups.

The Book 
 Artificial Intelligence will profoundly shape the future economy and society. Whereas the potential benefits are notable and desirable, the risk of serious harm is considerable. The new EU AI Act 2024/1689 therefore seeks to provide a legal framework to regulate AI systems in the EU.
 
 Written by an international team of experts, this Article-by-Article Commentary provides a comprehensive analysis and explanation of each of the provisions of the AI Act to assist in the interpretation and application. Each commentary follows a clear and uniform structure, also providing key information on the function and context of each provision. Where appropriate, practice tips are also given.
 The Advantages at a Glance<ul><li>Comprehensive analysis</li><li>International team of renowned experts</li><li>Clear and uniform structure</li></ul> The Target Group 
 For in-house counsel, legal practitioners, scholars, supervisory authorities, industry groups.

Article-by-Article Commentary

Artificial Intelligence Act

Contributions to Economics

Pasquale L. Scandizzo holds a Ph.D. from the University of California, Berkeley. He is Professor of Political Economy, past Director and Fellow of the Center for Economic and International Studies, Senior Fellow and Member of the Advisory Board of the University of Rome “Tor Vergata” Foundation, President of the Villa Mondragone Economic Development Association, President Emeritus of the Italian Society of Development Economics, and Chairman of OpenEconomics International, a university spin off focusing on project evaluation and economic development. His former institutional positions include the Governing Board of the Italian Institute of Statistics, the Italian Institute for Economic Planning (President), the National Planning Board, the Italian Parliamentary Budget Committee (Senior Adviser), the Ministry of Economics and Finance (Economic Adviser) the World Bank (Senior Economist and Research Coordinator). He has developed widely published methodologies to evaluate public investment programs, by combining option theory, cost benefit analysis and computable general equilibrium methods, and
 
 has been advising the World Bank and other multilateral institutions on the applications of these methodologies to policies of sustainable development.

This study explores the transformative potential of Artificial Intelligence (AI) in the tourism sector, emphasizing its role in enhancing service quality, operational efficiency, and global reach. To assess future impacts, the study uses a Social Accounting Matrix (SAM) and a Computable General Equilibrium (CGE) model built on GTAP 11 data. A scenario analyzing €66 billion in AI-tourism investments across G7 and other nations suggests strong short-term returns, particularly for capital and skilled labor, with the U.S. leading due to favorable infrastructure and market conditions. These findings point to the need for skill development and equitable policy design. AI’s capacity to personalize experiences and optimize operations positions it as a key driver of sustainable growth in tourism, with considerable economic spillovers and transformative potential across global markets.

A General Equilibrium Analysis

Tourism, Structural Features and Artificial Intelligence

The Hidden Government

Introducing Public Administration and Bureaucracy

Implementing Strategy and Change in Healthcare

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;
 
 Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;

Artificial Security and the Politics of Hype in the EU

Managing Nonprofit Organizations

Comparative Global Insights

Policies for Productivity

International Series in Operations Research & Management Science

This book presents a rigorous, practitioner-ready framework for determining when interventional causal claims can be validly drawn from observational data. By integrating potential outcomes (PO), structural causal models (SCMs), directed acyclic graphs (DAGs), quasi-experimental and longitudinal designs, information-theoretic approaches, and modern machine-learning methods with decision-analytic principles, it identifies necessary conditions for each step of the causal inference process, from defining estimands and identifying causal effects to study design, measurement, estimation, interpretation, robustness, and external validity. The framework is operationalized through practical checklists, tables, diagnostic and falsification tests, and AI-assisted tools, making it accessible across fields such as epidemiology, environmental and occupational health, and regulatory risk analysis. Designed to meet the needs of professionals making high-stakes decisions based on nonexperimental data, the book addresses the lack of clear, testable criteria for credible causal inference. Real-world examples throughout the book illustrate diagnostics, falsification tests, and robustness checks, linking evidence directly to decision-making. Bridging multiple causal frameworks and modern machine-learning methods, it equips readers to assess when data support cause-and-effect conclusions, supporting more responsible, evidence-based policy and risk management.The book offers health risk analysts, epidemiologists, and policy professionals a practical guide to valid causal inference from observational data. It is also ideal for graduate students and workshop participants in data science, decision analysis, risk analysis, and AI/ML applications.

Valid Causal Inference from Observational Data

Useful & Usable

Biomedical Applications of AI and IoMT in Smart Healthcare

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