<div class="raw-html-embed"> Action newsletter : Abonnez-vous dès maintenant à notre newsletter et bénéficiez de 10 % de réduction sur vos commandes en ligne jusqu’au 8 août 2025. <a href="/fr/newsletter">Infos et inscription.</a></div>

NL_Doormat: Hintergrundfarbe des Newsletter Banners unten in der Doormat. Mit # eingeben z.B. #1405BE

NL_Doormat: Verlinkung zur Newsletter Seite

Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Publikationen

Publications

Literatur

Onlinemodule LEXIA

Modules en ligne LEXIA

Bücher

Livres

Buchreihen

Collections

Datenbanken

recht.ch

Studienliteratur

Littérature pour les études

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Sortiment und Funktionen

Assortiment et recherche

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Project Regeneration Vol. 2 1
Datenträger

Project Regeneration Vol. 2

A hands-on approach to understanding the impact of local and global stresses on ecosystems Ecotoxicology: A Case-based Approach follows a "learning by doing" approach, building a deeper understanding of this multi-faceted discipline through the guided analysis of five carefully selected case studies that between them address both local and global anthropogenic impacts on ecosystem structure and function. The book is divided into three sections. Section I covers the definition, history and methodology of ecotoxicology. Section II comprises five case studies, each detailing a selected anthropogenic stress, showing how the ecotoxicological approach has been used to explain its environmental impact and by doing so has provided mitigation and restoration strategies. The final section highlights future directions of ecotoxicology. To aid in reader learning, each chapter includes a test bank and reading list for further study. Written by a highly experienced instructor with more than 30 years of studying and teaching the subject, Ecotoxicology includes case studies on: <ul> <li>Acid rain in the past and in the present</li> <li>Finfish and shellfish aquaculture</li> <li>The tar sands of Canada, as an example of the consequences of oil and gas extraction</li> <li>The release of toxic metals such as mercury, lead and cadmium, and the dumping of chemical wastes and other contaminants of concern in the Great Lakes area</li> </ul> Ecotoxicology: A Case-based Approach is an essential guide for upper undergraduate and postgraduate students in ecology and environmental sciences, as well as professionals and policy makers concerned with the conservation and sustainable management of natural resources.

A Case-based Approach

Ecotoxicology

Collins Su Doku

300 Su Doku Puzzles

Collins Bumper Book of Su Doku book 2

What All Healthcare Professionals Can Learn from the Artificial Intelligence Revolution

AI in Emergency Medicine

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

A Introduction

Austrian Economics

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

Coercion and the Making of the Modern World

Empires of Labor

Collected Poems, 1998-2020

Patricia Jabbeh Wesley

The Handbook of Infrastructure Communication

Excel as an HR Business Partner and support the business to meet its strategic objectives whilst meeting the needs of employees.

Aligning People Strategy with Business Goals

HR Business Partner Excellence

Python in Excel Step by Step

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

Project Regeneration Vol. 2

Autres titres sur ce thème