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Energy (R0)

Muhammad Hussain

Tieling Zhang

Big Data Analytics in Energy Pipeline Integrity Management

&lt;p class="MsoNormal"&gt;Chapter 1: Introduction.- Chapter 2: Fundamentals of Big Data Analytics in the Energy Sector.- Chapter 3: Data Collection Methods in Pipeline Integrity Management.- Chapter 4: Data Integration and Preprocessing Techniques.- Chapter 5: Literature Review.- Chapter 6: Using Big Data Analytics in PIMS.- Chapter 7: Data Quality Issues in Model Testing.- Chapter 8: Energy Pipeline Defect Growth Prediction Using Degradation Modelling.- Chapter 9: Predictive Maintenance and Pipeline Integrity.- Chapter 10: Machine Learning Applications in Pipeline Integrity Management.- Chapter 11: Risk Assessment and Big Data Analytics.- Chapter 12: Data Visualization and Reporting for Pipeline Integrity.&lt;/p&gt;

Beyond the Human Touch: AI's Revolution in Healthcare provides a comprehensive, accessible, and engaging exploration of how Artificial Intelligence (AI) is transforming healthcare. The book aims to serve as a definitive guide for healthcare professionals, policymakers, researchers, and students, offering insights into the practical applications, ethical considerations, and future potential of AI in the healthcare sector. This book benefits the healthcare and AI communities by:¿ Providing a thorough understanding of how AI technologies are being integrated into various aspects of healthcare.¿ Offering practical insights and strategies for implementing AI in clinical and administrative settings.¿ Highlighting the ethical and regulatory considerations necessary for responsible AI adoption.¿ Envisioning the future of AI in healthcare, including its potential to address global health disparities.

AI's Revolution in Healthcare

Beyond the Human Touch

This open access book assesses whether European data regulation can be amended in light of contemporary technological developments. In an era when data powers our daily lives, economies and societies, data regulation is essential. However, European data regulation is still premised on concepts and foundations that were developed more than 50 years ago. The book offers an in-depth exploration of the European data regulatory landscape, from its historical roots to the challenges posed by new technological advancements. Through a detailed legal and technical analysis, it explores key data categories - such as anonymised, pseudonymised, aggregated, sensitive data, and metadata - highlighting their fluid and changing nature and the growing possibilities for transitioning between them. By identifying regulatory tensions and challenges arising from various technologies, such as AI, Big Data, and quantum computing, the book offers policymakers, legal scholars, computer scientists and data protection experts different perspectives on how to reshape future privacy and data protection legislation in a rapidly advancing technological world. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com.

The Past, Present, and Future of European Data Regulation

How can European public law effectively address the profound rights challenges posed by AI systems? This groundbreaking book delves into this pressing question by critically analysing the limitations of current regulatory frameworks, including the Artificial Intelligence Act, the General Data Protection Regulation, and European human rights law. Drawing on leading judgments from the European Court of Human Rights and the Court of Justice of the European Union, the book explores real-world case studies of AI systems employed by public authorities, highlighting their impact on fundamental rights. Arguing that the EU's risk-based regulation approach falls short in protecting fundamental and human rights, the author introduces a compelling alternative: a rights-based inter-legal approach grounded in the theory of inter-legality. This innovative framework emphasises the 'publicness' and 'inter-systemic' nature of AI, advocating for a lifecycle perspective - from design to deployment and beyond. Rich with legal insights and practical methodology, this book presents a three-step adjudication model to integrate the inter-legal approach into European legal practice, paving the way for a more robust protection of fundamental principles, rules and rights in the AI era. Essential reading for scholars, policymakers and practitioners, this work redefines how Europe can lead the charge in responsible AI regulation.

A Rights-Based Inter-Legal Approach to Artificial Intelligence

Precarious Futures
 &nbsp;explores the evolving and emerging relationship between crime and technology in an increasingly complex and interconnected world, along with its implications for new perceptions of crime and deviance. It evaluates the rise of the World Wide Web and the model of cybercrime, questions whether existing criminological thought offers relevance and efficacy in current circumstances, conditions and future predictions, and revisits the concept of Relative Deprivation and&nbsp;the underpinning social psychological and socio-political foundations of it. It argues that&nbsp;Relative Deprivation&nbsp;allied to post-industrial precarity provides a central platform for understanding crime and deviance in a hyper-connected and hyper-commercial neoliberal world.&nbsp;The book develops to explore current criminological and security conceptions of artificial intelligence, big data, crime and social control, as well as hacktivism, and how opportunities for crime have become ‘democratised’ and expanded through the Web. Drawing&nbsp;on empirical data, theoretical narratives and a review of the state of crime now and in a speculative near future, Hamerton and Webber discuss some potential directions for a new transdisciplinary critical criminology.&nbsp;
 Precarious Futures
 &nbsp;speaks to&nbsp;criminologists, sociologists and social theory scholars and students, as well as academics and professionals in associated technological fields such as cyber-security, computer science and web science.
 Christopher Hamerton
 &nbsp;is&nbsp;Deputy Director of the Institute of Criminal Justice Research at the&nbsp;University of Southampton, UK.
 Craig Webber
 &nbsp;is&nbsp;Head of the Department of Sociology, Social Policy and Criminology at the&nbsp;University of Southampton, UK.

Crime, Technology and the Web

Precarious Futures

Regulating Big Tech beyond the Trans-Atlantic

Global Platform Governance

This open access book critically analyses a wide range of consumer law issues generated or exacerbated by the Internet of Things. The Internet of Things challenges many of the dichotomies which have shaped current laws: goods-services, hardware-software, tangible-intangible, online-offline. The book focuses on 4 specific challenges: things-as-service, liability, bricking of physical devices through software control, and the potential for enhanced personalisation, especially for digital assistants. The chapters analyse specific applications such as smart homes, connected cars, and consumer wearables with a view to providing innovative solutions to the new challenges posed by the Internet of Things, and to steer the development of the Internet of Things in a fairer direction. As well as offering an important analysis of the potential for smart consumer laws in the Internet of Things, the book also provides important insights into the growing divergence between Germany's and the UK's consumer laws since Brexit. The ebook editions of this book are available open access under a CC BY 4.0 licence on bloomsburycollections.com. Open access was funded by UKRI (Arts and Humanities Research Council) and the German Research Foundation (DFG).

Lessons from Germany and the United Kingdom

From Smart Technologies to Smart Consumer Law

In a world where machines learn, evolve, and sometimes outthink us, Artificial Intelligence and Safety offers a rare, integrated lens into both the power and peril of intelligent systems. Drawing on the authors' unique blend of programming mastery and enterprise risk leadership, this guide is your compass in the age of intelligent machines.This book goes beyond traditional risk management frameworks by integrating the latest advancements in artificial intelligence (AI) and generative AI. Combining real-world case studies, Socratic questioning, and the wisdom of AI governance pioneers, it journeys through the evolution of AI, the rise of deep learning, and the practical implications of large language models (LLMs) and retrievalaugmented generation (RAG). The authors translate complex technical knowledge into actionable insights and teach how to use Python not just for prediction, but for protection-turning code into a risk management ally. Readers will understand how to embed ethics by design, assess emerging risks, and confidently apply AI governance frameworks.This guide demystifies AI for everyone-from software architects to policymakers and risk managers. Whether you're crafting LLMs or setting enterprise policy, this book empowers you to not only ask the right questions but build the right systems, because the future of AI isn't just about building intelligence, it's about building it responsibly.

A Practical Guide for Programmers and Decision Makers

Artificial Intelligence and Safety

Alles, was 2026 datenschutzrechtlich wichtig ist, in einem praktischen Datenschutzpaket!

Unternehmen und Einrichtungen müssen sicherstellen, dass die Vorgaben des aktuellen Datenschutz- und IT-Sicherheitsrechts eingehalten werden - v.a. beim Umgang mit personenbezogenen und sensiblen Daten.

Mit dem "Datenschutz-Paket 2026" bekommen sie eine hilfreiche Unterstützung an die Hand. Es enthält eine bewährte Zusammenstellung der wichtigsten Muster, Checklisten, Vorlagen und Informationen zum Nachlesen, die sie für die Umsetzung des aktuellen Datenschutzrechts auf europäischer und nationaler Ebene (DSGVO, BDSG, TDDDG, Data Act etc.) benötigen.

Sammlung mit Vorlagen, Merkblättern und Mustern rund um den Datenschutz

Das Datenschutz-Paket

A Practical Guide for Engineering Leaders

Generative AI in Software Development

How can retailers implement the right strategies to optimize customer journeys and adapt to rapid technological change?

The Future of Shopping is a practical guide for managers, brand leaders and retail professionals who want to develop strategies that combine digital innovation with core retail principles. While the fundamentals of why people buy remain constant, how retailers apply them has been transformed by data, AI and emerging platforms.

Written by retail technology expert Miya Knights, this book draws on real-world examples from Amazon, Tesco, Walmart and Temu to show how technology is reshaping the shopping experience. With detailed frameworks and actionable tools, it equips professionals to strengthen credibility, apply models with confidence and deliver measurable career and business impact.

You'll learn how to:
- Apply data-driven insights to anticipate customer needs before they arise
- Implement retail media networks to enhance reach and engagement
- Develop strategies that combine sustainability with digital transformation
- Optimize personalization by aligning generative AI with the human touch
- Build models that connect innovation to measurable business performance

Covering every stage of the customer journey, The Future of Shopping equips mid-career professionals to implement new technologies strategically, optimize performance and advance their influence in a competitive sector.

Themes include: retail strategy, customer journey optimization, digital innovation, retail media networks, sustainability in retail, AI personalization

Using Digital, Data and AI to Win with Customers

The Future of Shopping

Industrialized Construction in the Age of AI and Robotics explores the transformative convergence of artificial intelligence, robotics, and modern construction methods. This comprehensive textbook reveals how cutting-edge technologies are reshaping the construction industry, offering unprecedented improvements in efficiency, quality, and sustainability.From fundamental concepts to practical applications, the book is divided into three sections. Part One establishes the foundational principles of industrialized construction and introduces the revolutionary potential of AI and robotics. Part Two delves deep into six critical operational areas: AI-driven design systems, agile production processes, intelligent supply chain management, automated on-site assembly, predictive maintenance, and smart work packaging. The final section examines current challenges, from technical and financial constraints to regulatory considerations, before exploring emerging trends and future innovations. Each chapter features detailed case studies and practical examples that bridge theory and real-world implementation.Written for a diverse audience, this essential resource serves as both an academic textbook and a professional reference. Students in Civil Engineering, Industrial Engineering, Construction Engineering and Management, and AI &amp; Robotics programs will find it invaluable for understanding the intersection of these disciplines. Industry practitioners, including construction managers, project engineers, and technology integrators, will gain practical insights into implementing AI and robotics solutions. Whether you're preparing for a career in modern construction, leading technological transformation in your organization, or conducting advanced research in the field, this book provides the interdisciplinary knowledge needed to succeed in construction's AI-driven future.

Industrialized Construction in the Age of AI and Robotics

Hotly-anticiaped new guide to working, learning and living with the latest genereations of AI, from the acclaimed Wharton Professor of Management and author of the One Useful Thing Substack. 'Ethan Mollick is the perfect guide' -- New York Times Cutting through the noise of AI evangelists and AI doom-mongers, Wharton professor Ethan Mollick has become one of the most prominent and provocative explainers of AI, focusing on the practical aspects of how these new tools for thought can transform our world. In this his latest book, he takes readers up to the cutting edge future and how we can engage best with these transforamtive platforms..

Beyond The Jagged Frontier

Big Data Analytics in Energy Pipeline Integrity Management

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