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Richardson Gary L.: Project Management
Theory and Practice

Project Management Theory and Practice

The Control of Multiple Unmanned Aerial Vehicles

How to Make Sense of a Complex Future

The AI Paradox

Data Analytics for Sustainability

Advanced Biotechnology

Machine Learning and Big Data-enabled Biotechnology

Triangulating AI Security

A Comprehensive Guide for Beginners and Career Switchers

Navigating Your Career in ServiceNow: From First Steps to Strategic Growth

Multi-Scale and Multi-Functional Materials

This book aims to explore the field of tribology in micro- and nano-reinforced composites to enhance material performance across a range of applications. Researchers and engineers are actively researching different reinforcement configurations and material combinations to develop composites with superior tribological properties. This research will lead to more efficient and reliable engineering solutions.Micro- and Nanocomposites: A Tribological Viewpoint will include a brief examination of previous reinforcement techniques and their impact on composite materials. It will also analyze how changes in tribological parameters affect material surface behavior. Understanding the role of tribology is crucial in assessing the performance of reinforced composite materials, especially in sustainable applications. A key focus of the book will be the significance of reinforcement selection from a tribological perspective in studying the environmental impact of modern industrial practices. Case studies are presented at the end of the book to illustrate the key principles discussed throughout.Written for a diverse audience, this resource is suitable for researchers, professionals, corporations, and individuals in higher education courses. It can also serve as a valuable reference for those studying Advanced Composite Materials.

A Tribological Viewpoint

Micro- and Nanocomposites

With the rapid recent advances in the field of railway systems and infrastructure construction, and the evolution of AI tools that have enormous potential for application to railway design, maintenance and operations, industry professionals and researchers need an up-to-date resource on these developments. Artificial Intelligence Methods in Railway Infrastructure Systems: Application of Data Centric Engineering addresses this need. The book encapsulates the latest breakthroughs and contributions in these pivotal areas, providing readers with comprehensive insights into the cutting-edge methodologies and approaches shaping the field of railway infrastructure management. For engineers and researchers, the book provides a focused explanation of AI methodologies such as machine learning, computer vision and predictive analytics and their implementation to railway infrastructure development, tools that are new to this field. It combines theory with practical examples of the application of data centric engineering in structural health monitoring of monitoring of railway systems, thus enabling early anomaly detection and empowering infrastructure managers to address potential issues before they escalate. Given the expansive scope of research driving technological advancements in railway infrastructure management, this book serves as a reference for readers seeking to explore novel AI-based methodologies and harness their potential in the field. Readers will benefit from insights into how AI innovations can streamline their operations and enhance network safety across multiple dimensions. By providing a comprehensive overview of the subject matter, this book guides anticipatory strategies and shape future trends in railway infrastructure management.

Application of Data Centric Engineering

Artificial Intelligence Methods in Railway Infrastructure Systems

Security, Audit and Leadership Series

Real-World Leadership for Security and Risk Professionals

It’s Not in the Manual

Strategic guide for implementing and developing digital twin products, with real-world case studies from different industries Infrastructure Digital Twins is an instructive and practical guide that offers tools on incorporating digital twins into existing processes, illustrated by real-world case studies across diverse sectors. Emphasizing the intersections of digital twin technology, sustainability, and cutting-edge software inventions, this book uncovers the potential to accelerate the global journey toward carbon neutrality and the United Nations Sustainable Development Goals. Written by a an esteemed author, Infrastructure Digital Twins approaches the topic by discussing: <ul> <li>Ground-breaking applications of digital twin technology demonstrated through real-world examples in transportation, construction, aviation, manufacturing, and healthcare sectors, bringing to light the transformative potential of emerging tech in these industries. </li> <li>Advantages offered by the confluence of digital twin technology and modern software engineering tools, including generative Artificial Intelligence (AI), enhanced interoperability and sophisticated relationship mapping between static and dynamic entities. </li> <li>Advanced semantics to leverage AI and data analytics, thus enabling accurate predictions of future scenarios, illuminating the path towards smarter, sustainable cities and infrastructure.</li> <li>Current challenges and future solutions for digital twin adoption in sustainable asset maintenance and management, focusing on innovative strategies to seamlessly develop digital twin products </li></ul>Diving into a subject of growing significance across industries, Infrastructure Digital Twins serves as an essential guide for practicing professionals and executive engineering leaders. It is also applicable for technologists and entrepreneurs, as well as it can serve as a textbook for graduate-level courses focusing on digital twin applications, machine learning, and the emerging landscape of tech innovation in infrastructure sustainability.

Applications in Engineering, Aviation, and Facilities Management

Infrastructure Digital Twins

The Complete Step-by-Step Guide to Agile Project Management with Kanban

Kanban

Examine all the key aspects of distribution, logistics and supply chain planning and management with this definitive, best-selling guide.

Understanding the Supply Chain

The Handbook of Logistics and Distribution Management

Project Management Theory and Practice

Weitere Titel zum Thema