Elsevier science technology mär 2021 (2 résultats)

Langue : anglais
Edité par Elsevier Science & Technology, Elsevier Mär 2021, 2021
- Couverture souple
- impression à la demande
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 110,00
EUR 23,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 2 disponibles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Measuring Transport Equity provides a range of methods with the potential to shape transport decision-making processes, thus allowing for the adoption of more equitable transport solutions. Presenting numerous applied methods and applications of transport equity assessment, this book formalizes the disciplinary practice, definitions, and methodologies for transport equity. In addition, it recognizes the different types of equity and acknowledges that each requires its own assessment methodologies. Bringing together the most up-to-date perspectives and practical approaches for assessing equity in relation to accessibility, environmental impacts, health, and wellbeing, the book sets standards for researchers, policymakers, and practitioners for conducting social impact analyses and is an ideal reference for those involved in transport planning. 328 pp. Englisch.…

- Couverture souple
- impression à la demande
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
Contacter le vendeurVendeur avec une évaluation de 5 étoilesEtat: Neuf
EUR 127,00
EUR 23,00 expéditionExpédition depuis Allemagne vers Etats-UnisQuantité disponible : 2 disponibles
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. 306 pp. Englisch.…