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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;

Intelligent Urban Infrastructure: Smart Solutions for Sustainable Cities explores how emerging digital technologies are reshaping the design, management, and sustainability of modern cities. This comprehensive volume examines the integration of Artificial Intelligence (AI), Internet of Things (IoT), data analytics, and intelligent automation into critical urban systems such as transportation, energy, water management, healthcare, and public safety. It presents a forward-looking perspective on how infrastructure can evolve to become more adaptive, resilient, and environmentally responsible. The book highlights practical frameworks and technology-driven content that demonstrate measurable improvements in efficiency, cost optimization, and environmental performance. Designed for researchers, postgraduate students, urban planners, engineers, policymakers, and industry professionals, this book serves as a valuable reference for those seeking to understand and implement intelligent infrastructure solutions that enable smarter, greener, and more liveable cities worldwide.

Smart Solutions for Sustainable Cities

Intelligent Urban Infrastructure

Boost your AI quotient for AI-ready leadership.Most leaders know that AI can deliver efficiency gains, making it a company priority in a challenging business environment. But the pace of change is outstripping their ability to adapt. More than 75% of leaders report that AI is creating challenges they have never faced before and these new challenges, anxieties and uncertainty about the future are creating a 'readiness gap'.AI-Q, your AI Quotient, is both a new metric for assessing readiness and a framework for building it. Use the AI-Q MAP (Mindset, Abilities and Practices) to: <ul> <li> assess where you are today </li> <li> identify the critical gaps, and </li> <li> build the leadership and organizational capabilities you need to ensure your AI investments deliver returns. </li> </ul>Futurist and economist Athena Peppes draws on research from leading institutions and expert interviews to offer a new approach to AI-readiness, the new critical leadership capability in the human+AI era.

The new leadership imperative for the Human+AI era

AI-Q

Creative Reuse

Reshaping EU Copyright Law to Support Creativity Online

Most composition textbooks begin with skills like thesis writing and paragraph structure. This one begins with a person. Writing as Self-Design is a transformative textbook in which students examine control of information and discover their agency in meaning-making. Informed by neuroscience, rhetorical theory, digital literacy, and composition pedagogy, this book challenges students to question how meaning is made, filtered, and constrained in the digital age, and to develop their unique voices through composition strategies that reclaim writing as an act of self-design. It is a book which responds to the technological landscape in which we find ourselves. Rather than convincing students of the value of research and writing, Writing as Self-Design allows them to discover their own emotional value through enhanced agency in inquiry and resistance. Through this textbook, composition becomes a space in which students question information control, the hedonic cycle of passive consumption, and their greater agency in creativity and intentional design. Recognizing the ubiquity of tools like AI, this book encourages critical examination of how and why they are used. Students engage with algorithmic bias, misinformation, datafication, and the influence of platforms like Google, TikTok, and ChatGPT: not just as topics, but as forces that shape the way they think, write, and relate to the world. The value of Writing as Self-Design will resonate well beyond the classroom, addressing the importance of the critical skills needed to navigate the "total noise" of our media-saturated lives, build personal definitions of success, and rediscover the creative cycle that leads to lasting happiness and fulfilment.

Finding Voice and Agency Through Composition

Writing as Self-Design

Emerging technologies such as autonomous vessels, artificial intelligence, and alternative fuels are revolutionizing the way we operate at sea. This volume examines how advancements in information technology and biotechnology are influencing the evolution of ocean law and policy. These technologies, including blockchain, satellite and submarine cable communications, nuclear power at sea, seabed mining, underwater archaeology, marine genetics, and decarbonization, are changing the architecture of ocean governance. This volume explores both the opportunities and challenges these advancements pose to the law of the sea, which is evolving to adapt to ever accelerating rates of global change. Looking forward, the book considers the role of the law of the sea in the future of ocean governance. This title is also available as open access on Cambridge Core.

Marine Technology, Ocean Development and the Law of the Sea

In Digitizing the Supply Chain, Nick Seiersen explores the transformative potential of information technologies in modern supply chain management. This book examines the foundational technologies, tools, and challenges of the digital transformation of supply chains, offering insights into future trends and opportunities.

The author reviews key technologies such as AI, IoT, blockchain, and Big Data, illustrating their application through real-world case studies. Readers will gain a practical understanding of how to leverage these technologies to optimize logistics, enhance cybersecurity, and manage risk.

This book serves as an essential resource for executives and professionals seeking to navigate the complexities of deploying new technologies to build resilient, future-proof supply chains.

How AI and 8 Technology Building Blocks Can Supercharge Your Supply Chain

Digitizing the Supply Chain

edition suhrkamp

Was kommt danach?

Liberale Demokratie ohne Zukunft

Gen AI is changing the way you work. So why is your team stuck in neutral?The adoption of generative AI is now widespread, yet it is still typically used on an individual basis: one person, one screen, one task. Meanwhile, the most important work in organizations happens in teams. The transformative potential of enhancing teamwork with gen AI is too big to ignore; fortunately, you can make AI-enabled collaboration real right now and see immediate results.The HBR Guide to Generative AI for Teams is packed with practical tips, prompts, and case studies to elevate team-based work. Whether you're a team leader, manage AI transformation initiatives, or facilitate group work of any kind, you'll learn how to: <ul><li>Bring gen AI into any meeting, workshop, or session</li><li>Run better brainstorms, business reviews, and retrospectives</li><li>Leverage gen AI as a team member, not just a notetaker</li><li>Use your team's collective judgment to avoid pitfalls</li><li>Reach team outcomes that were impossible before gen AI</li><li>Establish a new "humans+AI" way of working in teams</li></ul>Arm yourself with the advice you need to succeed on the job, with the most trusted brand in business. Packed with how-to essentials from leading experts, the HBR Guides provide smart answers to your most pressing work challenges.

HBR Guide to Generative AI for Teams

Master's Thesis from the year 2025 in the subject Leadership and Human Resources - Recruiting, grade: 1,2, University of Applied Sciences Dortmund, language: English, abstract: This master's thesis explores the role of artificial intelligence (AI) in modern recruitment processes with a particular focus on applicants' trust. As digitalization and AI increasingly transform the world of work, organizations are adopting AI-supported recruiting tools to enhance efficiency, standardization, and data-driven decision-making. At the same time, the use of AI in personnel selection raises important questions regarding transparency, fairness, and acceptance from the applicants' perspective.

The objective of this thesis is to examine how applicants perceive AI-assisted recruitment processes and which aspects are relevant for the development of trust in this context. To address this research objective, a qualitative research design was chosen. Semi-structured interviews were conducted with participants who had either experienced AI-supported recruitment processes or reflected on their expectations toward such processes.

The empirical data were analyzed using qualitative content analysis following Kuckartz' approach. This method allows for a systematic examination of subjective perceptions, attitudes, and evaluations, while combining theory-driven and data-driven coding. The analysis focuses on applicants' experiences with different forms of AI usage in recruitment, their expectations toward human and technological decision-making, and their assessment of AI-supported processes within the broader candidate journey.

By linking theoretical concepts of trust in technology with empirical insights from applicants, this thesis contributes to the growing body of literature on AI in recruiting. In addition, it provides a structured foundation for further academic research and offers valuable insights for organizations seeking to better understand applicant perspectives on AI-supported recruitment processes.

Artificial intelligence in the recruitment process. How can companies gain applicants' trust?

Shared Intelligence

Coming of Age

The 4th Edition of Uptime modernizes the world's most trusted maintenance excellence framework for the realities of the digital age. While preserving the proven three-layer Uptime Pyramid of Excellence-Leadership (foundation), Essentials (systems), and Choosing Excellence (disciplined practices)-this edition brings the framework forward with new tools, new technologies, and new expectations facing today's maintenance organizations.Where earlier editions established a robust and practical approach to maintenance management, the 4th Edition integrates the advancements now reshaping the field, including:¿ Evidence-Based Asset Management (EBAM)¿ AI-assisted predictive maintenance¿ Sensor-enabled condition monitoring¿ Mobile and digital workflows¿ Data quality standards for CMMS/EAM systems¿ DOE-backed Precision Maintenance¿ Updated RCM logic for modern operationsThis edition retains the clarity and structure that made Uptime a bestseller, while adding practical, technician-focused methods aligned with contemporary work environments. This book equips frontline maintenance teams, supervisors, planners, and reliability practitioners with a practical, adoption-ready framework for achieving reliability excellence. It aligns the original Uptime Pyramid with modern digital practices and provides actionable guidance on:¿ Leadership behaviors that build a culture of reliability¿ Systems and processes required for consistent maintenance performance¿ Disciplined practices such as RCM, proactive maintenance, precision maintenance, and RCFA¿ Converting evidence into action through a structured Work Identification process.

Strategies for Excellence in Maintenance Management

Uptime

Legal Regulation of AI and Sex Discrimination in Employment

Big Data Analytics in Energy Pipeline Integrity Management

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