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Wesley P: Patricia Jabbeh Wesley

Patricia Jabbeh Wesley

Collected Poems, 1998-2020

A Girl Like Her

Python in Excel Step by Step

The Handbook of Infrastructure Communication

BSAVA British Small Animal Veterinary Association

BSAVA Manual of Guinea Pigs

The Employee Experience Advantage

Der Sammelband gibt Einblicke in die Schnittmenge aus Bildungs- und Netzwerkforschung. Trotz der Allgegenwärtigkeit von Netzwerken im Alltag, auch in der Bildung, werden diese eher selten in der Bildungsforschung berücksichtigt und untersucht. Dabei wirken sie sich maßgeblich auf Bildungsprozesse aus. Es werden Beiträge zusammengetragen, die sich dem Desiderat theoriebasiert wie auch empirisch mit Blick auf verschiedene Bildungsagent:innen (Lehrende, Lernende, Institutionen) nähern. Die Beiträge werden abschließend kommentiert und es werden weitere Potenziale des Forschungsstrangs diskutiert.

Theoretische Ansätze und empirische Studien

Soziale Netzwerke in der Bildung

Holcombe Hall

Pre-order the second book in Maggie Campbell's wonderful HOLCOMBE HALL series! Florrie has already risen to one challenge but as life continues to throw new, and exciting opportunities at her will she continue to flourish?

A New Era for Holcombe Hall

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

Series On Analysis, Applications And Computation

The book is devoted to rigorous mathematical results on discrete nonlinear Schrödinger equations (DNLS), including the initial value problem of the time-dependent DNLS and the standing wave of the stationary DNLS.The stationary DNLS equations emerge as equations for the profile of the standing wave in evolutionary DNLS. The book mainly presents well-localized, finite-energy solutions that represent solitary standing waves (breathers in the terminology of nonlinear science), while some other types of solutions are considered as well. The approach accepted in this book is variational, based on various critical point theorems of the mountain pass and linking type, as well as constrained minimization.The book covers the existence of solutions and their properties under various physically reasonable assumptions on linear and nonlinear potentials. It also contains a number of open problems which might be thesis topics for fresh PhD students. The results presented are scattered over a large number of research articles and have never been presented in a monograph form. In addition, there is necessary material from the spectral theory of discrete Schrödinger operators, time-dependent DNLS, and a brief presentation of critical point theorems used in the book.

Discrete Nonlinear Schrodinger Equation: Beyond Complete Integrability

Coercion and the Making of the Modern World

Empires of Labor

A deeply moving story of Holocaust survival and the joy, hope and tolerance that can still blossom from within.

A Holocaust Survivor's Message of Hope and Celebration of Life

Let's Make Things Better

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

Patricia Jabbeh Wesley

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