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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;

India Studies in Business and Economics

This book presents a comprehensive study that conducts a data-driven performance benchmarking exercise for regional school education systems in India, with a clear focus on highlighting disparities and challenges within these systems, as well as providing targeted policy recommendations for potential improvements. The book conducts an in-depth examination of the educational environment, current status, policies, and interventions across schools. It explores why, despite various national initiatives aimed at improving access to and quality of school education, significant gaps persist across Indian states, particularly in the two most populous states, Uttar Pradesh and Bihar, which face a range of economic challenges.The book evaluates rankings and efficiency variations in school education development and develops a novel nonparametric efficiency-effectiveness framework to analyze the performance of the school education system. In addition to employing a state-of-the-art meta-BoD-RDM framework for constructing a school education development index, the empirical analysis employs a two-stage network Data Envelopment Analysis (NDEA) model using survey-based data from schools in India to compute school-wise efficiency and effectiveness scores. These scores are then integrated with a machine learning-based Random Forest algorithm to identify the key factors behind the observed inter-school variations in school efficiency and school effectiveness. The book also discusses progress in school education development during the COVID-19 pandemic. It identifies several key areas that require policy intervention and urgent attention from educationists and governments. This data-enabled benchmarking and analytical study not only contributes to understanding the current landscape but also supports the formulation of future educational policies aimed at effectively addressing the evolving needs of the school education system in India.

Data-Driven Benchmarking of School Education Systems in India

How do we live alongside machines that are sometimes smarter than us? We are entering a new era. AI systems can already outperform humans in some domains while failing spectacularly in others. They can act as tutors, collaborators, researchers, strategists, and creators...yet they can also produce falsehoods, generate convincing nonsense, and fail unpredictably. The challenge is no longer simply adopting new technology. It is learning how to think, work, and live in a world where machines are sometimes smarter than us. In Co-Existence, Ethan Mollick—a Wharton professor and author of the widely read One Useful Thing newsletter—argues that the future of AI will not be defined by replacement, but by interaction. Drawing on years of research, experimentation, and frontline experience with rapidly evolving AI systems, Mollick shows readers how to: • work productively with AI while retaining judgment and autonomy; • distinguish where human insight matters most; • avoid becoming overly dependent on systems designed to persuade and imitate; • adapt creatively as AI reshapes education, business, and everyday life; and • build a durable human advantage in a world of intelligent machines. Clear-eyed, practical, and written with warmth and humor, Co-Existence is your guide to navigating the next phase of the AI revolution.

The Next Phase of AI

Co-Existence

NomosTextbook

Methods, Frameworks, Applications

Logistics and Quality Management

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

Explore how digital technologies are transforming sustainable supply chain performance. Supply Chain Technologies by Kamran Mahroof, Uthayasankar Sivarajah and Emilia Vann Yaroson is a structured and application-focused textbook for upper-level undergraduate and postgraduate students on Supply Chain Management courses. It supports modules in digital supply chain transformation, technology management and sustainable operations, providing a clear framework for understanding how emerging technologies reshape global supply networks. Explore how organizations respond to disruption, integrate digital tools and measure technological impact using appropriate performance metrics. The text develops both strategic and analytical understanding, enabling learners to evaluate innovation, resilience and long-term sustainability. Drawing on real-world examples from Patagonia, Walmart and Amazon, this book explores how digital innovation drives efficiency, transparency and responsible growth across sectors. By connecting theory with operational practice, the textbook equips students to critically assess technology investments and design adaptable, future-ready supply chains. This textbook includes: - Clear chapter learning objectives aligned to course outcomes - Integrated frameworks linking technology adoption to supply chain strategy - Analytical tools for evaluating performance, risk and resilience &gt;With its balanced integration of sustainability, digital innovation and strategic implementation, Supply Chain Technologies prepares students to lead technological transformation within complex global supply networks.

Creating Sustainable Value Through Innovation and Digital Transformation

Supply Chain Technologies

Routledge Advances in Organizational Learning and Knowledge Management

This edited volume explores the transformative intersections of education, innovation, and sustainability, with a particular focus on Asian economies. Through rigorous research and real-world case studies, it examines how digital technologies including Artificial Intelligence (AI), Machine Learning (ML), and collaborative learning can drive sustainable growth and organizational transformation. The book provides actionable insights into leveraging digitalization to enhance institutional performance, graduate employability, and environmental sustainability, offering a multidisciplinary framework for advancing the UN Sustainable Development Goals (SDGs). Readers will benefit from case studies on topics such as decarbonization policies, eco-handloom innovations, and corporate governance practices, alongside theoretical discussions on organisational learning, digital knowledge sharing, and innovative pedagogical approaches like collaborative virtual reality platforms. The book also highlights cutting-edge applications of environmental text data mining and sustainable value stream mapping, providing tools for educators, policymakers, and business leaders to foster agile, competitive, and socially responsible organizations. Designed for academics, advanced students, educators, policymakers, and professionals, this volume equips readers with strategies to leverage technology and collaboration for institutional improvement and alignment with global sustainability goals and is an essential resource for those seeking to understand the dynamics of sustainability and digital transformation.

Productivity, Information Technology, and Strategies for the Digital and Green Economy

Organisational Learning Innovations in Asia

Business Machine Learning

Masterarbeit aus dem Jahr 2021 im Fachbereich BWL - Sonstiges, Note: 1.0, Fachhochschule Koblenz - Standort RheinAhrCampus Remagen, Sprache: Deutsch, Abstract: Die Bekämpfung der Geldwäsche stellt die Kreditinstitute vor große Herausforderungen. Kreditinstitute können derzeit neben den "klassischen" Verfahren wie der Implementierung von "unflexiblen" IT-basierten AML-Lösungen (Anti-Money-Laundering) nur mit immer größeren Personalressourcen auf die Herausforderungen reagieren. Das Forschungsziel der vorliegenden Arbeit ist es, zu untersuchen, ob der Einsatz der künstlichen Intelligenz (Artificial Intelligence) bei der Bekämpfung der Geldwäsche wirkungsvoll unterstützen kann. Dazu wird die folgende Forschungsfrage gestellt: "Inwieweit können Kreditinstitute durch den Einsatz von KI-Technologien auffällige Muster und Hinweise auf Geldwäsche effizienter als mit bestehenden IT-Systemen entdecken?" Um die Forschungsfrage zu beantworten, wird eine qualitative Forschungsmethode gewählt. Dabei wird die vorhandene akademische Literatur zum Einsatz künstlicher Intelligenz bei der Bekämpfung der Geldwäsche untersucht und werden qualitative Interviews mit Branchenexperten als Instrument zur Datenerhebung mit Branchenexperten durchgeführt. Als Resultat zeigt sich, dass die Lücke zwischen den aktuellen AML-Methoden und der hochmodernen künstlichen Intelligenz (KI) geschlossen werden kann. Durch die neuen Trends und Richtungen in der KI-Technologie ist es möglich, skalierbare AML-Lösungen zu entwickeln.

Qualitative Analyse und Betrachtung

Einsatz von Artificial Intelligence zur Bekämpfung der Geldwäsche in Kreditinstituten

Easy and effective strategies for using AI chatbots Turn your business into a 24/7 customer service powerhouse with AI chatbots that work around the clock! Perfect for anyone drowning in customer emails or missing sales opportunities while they sleep, AI Chatbots For Dummies explains how to build intelligent chatbots from scratch - no coding required. You'll discover how major companies use chatbots to boost efficiency and customer satisfaction and learn to create your own automated assistants for customer service, lead generation, and marketing campaigns that practically run themselves. Inside ... <ul><li>Build no-code solutions</li><li>Create 24/7 customer support</li><li>Accelerate lead generation</li><li>Convert leads into customers</li><li>Reduce overhead and workload</li><li>Improve customer satisfaction</li><li>Scale your company</li><li>Integrate the newest tools</li></ul>

AI ChatBots For Dummies

Equips legal professionals and stakeholders with a clear, authoritative, and practical guide to the UK legal treatment of digital payments and tokenised assets. The Law of Digital Payments explores the evolving landscape of UK financial law as it adapts to innovations in digital finance. With fintech disrupting traditional models of value exchange, legal professionals must navigate complex regulatory challenges concerning digital wallets, open banking APIs, smart contracts, decentralised finance (DeFi), and the treatment of tokenised assets under common law. This work delves into how UK courts and regulators are addressing these innovations. It provides clarity on the current legal treatment of payment tokens, security tokens, cryptoassets and non-fungible tokens (NFTs). It also investigates the impact of the Financial Services and Markets Act 2023, the Bank of England's stance on central bank digital currencies (CBDCs), and how the Payment Services Regulations and E-Money Regulations are applied to innovative business models. Drawing upon regulatory guidance, case law, and international developments, the book is designed to help practitioners, regulators, academics, and financial institutions understand and navigate the complex intersection of law and digital finance. This title is included in Bloomsbury Professional's Banking and Finance Law online service.

The Law of Digital Payments

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

Supply Chain Management For Dummies

Dynamics of Disasters

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