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The Greatest Hits Collection () 1
Datenträger

The Greatest Hits Collection ()

Time of the Twins

The Handbook of Infrastructure Communication

First Principles, Modeling, and Design

Electromagnetic Analysis of Electric Machines

A Memoir

And You Will Call It Fate

How do we combat racism in a world determined to tell us it doesn't exist? To hold the line against racism, we need to know it when we see it. And as the dominant racial group in our society, White people must take up the charge. The problem is that White people haven't been socialised to detect racial bias in the way people of colour do. Racism is more than using racial slurs or overt, hateful speech, and it's more than unintentional slights; it's about an entire system that upholds Whiteness as the preferred standard. Fortunately, detecting it is a skill that can be learned. The Bias Gap is a re-education, call to action and practical guide, full of research-backed strategies including how to: · cultivate a growth mindset about bias · unlearn colourblindness and practice colour consciousness · talk to kids about race and racism - and bring others along for the journey At a time when diversity, equity and inclusion (DEI) is under coordinated attack, The Bias Gap is the essential toolkit for anyone who believes we all have a role to play in creating a more equitable world. Evelyn R. Carter, PhD, is a social psychologist and DEI expert, who has applied cutting-edge bias detection practices in a vast array of industries ranging from higher education to financial services, from technology to retail and professional sports, and at organisations like American Express, Burberry, Nike and Uber. Dr Carter's work has been featured in The Atlantic, Harvard Business Review and more.

How to Detect, Interrupt and Unlearn Bias in Everyday Life

Was That Racist?

A Case Study Approach

Teaching Higher Education Administrators

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

Collected Poems, 1998-2020

Patricia Jabbeh Wesley

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