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Gesamtkatalog

Catalogue complet

This PDF has been created in accordance with the PDF/UA-1 standard to enhance accessibility, including screen reader support, described non-text content (images, graphs), bookmarks for easy navigation

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Mathematics and Statistics (R0)

Dimitris E. Simos

Panos M. Pardalos

Ilias S. Kotsireas

Bernhard Garn

Stefan Wolfgang Pickl

Dynamics of Disasters

Hybrid Threats

&lt;p&gt;Anticipating Disasters through a Security Twin.- On Track for Resilience Assessing and Enhancing Railway Security in the Digital Age.- A Framework for Hybrid Risk Analysis.- Evaluation of the Regional Situation Under Volcanic Eruption and Corresponding Decisions.- Feasibility of School Building in Banda Aceh City 19 Years After Tsunami.- Discrete event simulation in a firefighting resource scheduling problem.-Dependence Structures in Modeling Disaster Dynamics.- Building Incident Centric Knowledge Graphs&amp;nbsp; Enhancing Crisis Management with Data-Driven Insights.- Exploring Constraint Based Approaches for Disaster Scenario Generation.- Ethics in Technology Challenges The Edward Snowden&amp;rsquo;s Case and Privacy Perspectives.- Toward a Theory of Hybrid Warfare.&lt;/p&gt;

The neglect of maritime governance by governments, institutions and the industry itself has been nothing short of remarkable. For a sector that is characterised by widespread corruption, inefficiency and excessive environmental pollution, injury and death, the inadequacies of the current structure of control, policy and administration, which have persisted throughout its development over many years whilst increasingly recognised, has resulted in little progress or improvement. This book provides a detailed yet concise and succinct interpretation of what constitutes maritime governance and its significance for the success, operation and influence of the sector.
The major drivers, their impact and how they inter-relate, are identified and the whole process is placed within the context of globalisation, a major factor within the shipping and ports industry. A framework for analysing maritime governance structures is put forward centred around jurisdiction, objectives, instruments and agencies. The issue of maritime governance is then examined from an international policy perspective and how this differs from domestic agendas. Conclusions are drawn on the future for maritime governance, how the current situation can be improved and the remaining problems considered. The book will be of great interest to scholars and students of maritime governance, as well as practitioners seeking a scholarly overview of the topic.
Michael Roe holds the Chair of Maritime and Logistics Governance at the University of Plymouth, UK. He previously worked with the Greater London Council and the Universities of Aston, Coventry, London Metropolitan and the University of London (City). The author of over 70 refereed journal papers and 16 books, he specialises in Eastern European maritime policy and the wider governance of maritime affairs.

Drivers and Challenges

The Framework of Maritime Governance

Synthesis Lectures on Digital Circuits & Systems

This book is about the Arduino microcontroller and the Arduino concept. The visionary Arduino represented a new innovation in microcontroller hardware in 2005, the concept of open source hardware, making a broad range of computing accessible for all.

This book, "Arduino V: AI and Machine Learning," second edition, is an accessible primer on Artificial Intelligence and Machine Learning for those without a deep AI and ML background. The author concentrates on Artificial Intelligence (AI) and Machine Learning (ML) applications for microcontroller–based systems. The intent is to introduce the concepts and allow readers to practice on low cost, accessible Arduino hardware and software. Readers should find this book a starting point, an introduction, to this fascinating field. A number of references are provided for further exploration.

Arduino V: Machine Learning, 2ed

Multiple Criteria Decision Making

Theory and Applications of MCDM Methods

Industrial Decision Analysis

Rapidly transform your analytics teams to deliver AI-driven insights.

The AI-driven Data Team by Nicholas Kelly is a proven-to-work playbook for data and analytics leaders who want to align analytics capabilities with the demands of an AI-powered business environment. Written for leaders accountable for data, analytics and business intelligence, this book provides tools for diagnosing capability gaps among data analytics teams, modernizing legacy stacks and delivering AI-driven insights to help organizations make better decisions. 

You'll learn how to:
- Diagnose skills gaps and map AI-augmented career paths
- Integrate modern AI tools with existing analytics stacks
- Launch six revenue-driving and cost-focused pilots in 90 days
- Embed ISO and NIST-aligned governance without slowing innovation
- Apply ROI calculators, governance checklists and sprint planners

Drawing on expert insights and real-world applications, this book helps you upskill your analysts, strengthen AI governance and provide AI-driven insights that drive real results.

Themes include: AI strategy, data governance, analytics leadership, ROI from AI, organizational transformation, executive decision-making

Improve Your Analytics with AI

The Ai-Driven Data Team

Platform Supply Chains in the AI Era

Predict-then-optimize Paradigm

Platform Supply Chains 1

Dieses Buch zeigt, wie Unternehmen gesetzliche Erwartungen an Lieferketten (z. B. LkSG oder CSDDD) auch als Chance nutzen können. Es wird eine praxisorientierte Methode zur Quantifizierung von Risiken (QuaRisk) in Bezug auf Menschenrechtsverletzungen und Umweltauswirkungen in der Lieferkette vorgestellt. Damit lassen sich Risikokennzahlen erstellen, die die Wahrscheinlichkeit und potenziellen Auswirkungen von Risiken auf einzelne Lieferanten, Länder, Materialgruppen und die gesamte Lieferkette abbilden. Gleichzeitig erfüllt die Methode die gesetzlichen Anforderungen der Regulierungsbehörden und gibt Unternehmen die Möglichkeit, simulationsbasierte Kennzahlen zur Bewertung und Steuerung wirtschaftlicher Auswirkungen zu nutzen. 
Das Modell ermöglicht es Unternehmen,&nbsp;ihre Lieferketten durch ein methodengestütztes, automatisierbares Risikomanagement effizient an rechtlichen Vorgaben auszurichten und diese gleichzeitig nachhaltiger und resilienter zu gestalten.
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Quantifizierung von Menschenrechts- und Umwelt-Risiken entlang der Lieferkette im Rahmen von LkSG und CSDDD

QuaRisk – Risikomanagement für Lieferketten neu gedacht

A critical introduction to the psychiatric technologies of the future Artificial intelligence (AI) promises to transform nearly every area of modern life, and psychiatry is no exception. The field faces the mounting crisises in diagnostic inaccuracy, treatment stagnation, and persistent failures in suicide prevention, while traditional approaches struggle to keep pace with patient needs. AI and neuroscience offer a new path forward, pointing toward a future where mental health care is grounded in objective data, individualized predictions, and biologically informed treatments. Decoding Despair provides a cutting-edge look at these emerging scientific possibilities and the long-standing norms they may replace. Beginning with an examination of psychiatry's current challenges, it moves toward a present where AI-powered tools are beginning to reshape diagnostics, treatment selection, and drug development. The book offers readers a deeper understanding of mental health as both a scientific field and a lived human experience, while igniting an essential conversation about the transformative potential of precision psychiatry and technology. Decoding Despair readers will also find: <ul> <li>Exploration of the patient's journey from first symptoms to being prescribed medication</li> <li>Deep dive into the healthcare system and an understanding of the connections between stakeholders</li> <li>Clear explanations of how AI models work and how they can be practically applied to solving issues in mental health</li> <li>Deep introduction into the world of data and the different models of data acquisition necessary for building AI solutions</li> <li>Analysis of the potential innovations that could come first and the conditions necessary for them to occur</li> </ul> &nbsp; Decoding Despair is ideal for professionals and innovators building the future of psychiatry-as well as anyone seeking to understand their own mental health and the technological breakthroughs poised to reshape this critical field of care.

How AI is Reshaping Psychiatry

Decoding Despair

A foundational treatment of discrete choice models, with a focus on random utility models Discrete choice models are essential tools for understanding decision-making when individuals must choose among alternatives. They have applications across the social sciences, notably in economics, marketing, and political science. This book offers a foundational treatment of discrete choice models, introducing the logit model and its generalizations, logistic and Poisson regressions, and generalized linear models, and demonstrates their use in analyzing important econometric models. These include international trade gravity, demand estimation, matching with and without transfers, hedonic markets, and dynamic discrete choice. Bridging theoretical clarity and practical applicability, the book is suitable for use in graduate-level coursework and will be an essential resource for researchers and practitioners. • Extensive coverage of computational issues, focusing on optimization and the reformulation as generalized linear models • Emphasis on econometric questions, including simulation, estimation, and inference methods, with estimation techniques based on both simulated and actual datasets • A substantial set of exercises and problems at the end of each chapter • Two appendixes, with one covering the mathematical tools needed to understand the material, and the other the Python code examples

Mathematical Methods, Econometrics, and Data Science

Discrete Choice Models

Nick Clegg, formerly one of Meta's most senior executives, presents a blueprint for reforming Big Tech while preserving the essential openness of the internet 'Warns of the dangers posed to a free and open global internet by an age of autocrats and a titanic power struggle over AI' Guardian As democracies seek to curb the power of Big Tech, as authoritarian regimes like China and Russia isolate their populations from the internet, and as the AI race supercharges divisions between competing nations, the most powerful tool for bringing us together risks being dismantled. Taking us behind the scenes at Meta, and drawing on his unique experience on the world stage of both tech and politics, Nick Clegg sets out where Big Tech has gone wrong and the radical reforms that are needed if global platforms are to ensure their long-term future. But he also shows that many of the charges against them are overstated or simply untrue, and presents a blueprint for the international cooperation that is needed if we are to preserve what makes them so vital to our future: their potential to empower and improve billions of lives. Radical, reasonable, deeply felt and disarmingly honest, How To Save the Internet reminds us how much we stand to lose on our current path - and how much we might yet gain from a global, open internet. 'Entertaining . . . lucid, detailed . . . there is much to agree with' Spectator 'Studded throughout [with] good analyses of the political situation around technology' Observer 'A gripping and timely book. Nick Clegg writes with clarity, authority and urgency' Peter Frankopan, author of The Silk Roads 'A wake-up call we cannot afford to ignore' Tony Blair 'A vital read' Reid Hoffman, co-founder of LinkedIn

The Threat to Global Connection in the Age of AI and Political Conflict

How to Save the Internet

Recursions

A Media Theory of Machine Learning

Errant Intelligence

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Multiscale Financial Data Analytics And Machine Learning

This book explores the scientific and technological relevance of rare earth elements in energy and sustainability. It covers their roles in clean energy systems, including electric vehicles, wind turbines, and energy storage. Emphasis is placed on material properties, extraction processes, and sector-specific applications. The book also discusses market trends, environmental concerns, and supply chain issues, making it valuable for researchers, students, and professionals in energy and materials science fields. This book explores the vital role of rare earth elements in driving clean energy and sustainable development. Covering topics from mining impacts and global resource distribution to applications in wind energy, solar power, batteries, electric vehicles, and fuel cells, it provides a comprehensive overview of current and emerging technologies. It also examines recycling methods, the circular economy, and potential alternatives to rare earths. Designed for researchers, engineers, and students, the book offers both foundational insights and forward-looking perspectives on rare earth applications in the evolving energy landscape. This book is applicable across various industries, including production, design engineering, automotive, aviation, and defense. It supports researchers in these fields by highlighting the role of rare earth elements in enhancing battery performance, improving energy efficiency, and advancing sustainable technologies such as electric vehicles, wind turbines, and energy storage systems.

Essential Materials for Energy and Sustainable Development

Rare Earth Elements

Dynamics of Disasters

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