Bonakdari hossein (74 risultati)

Condizione: New.

Condizione: New.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

Paperback. Condizione: Brand New. 388 pages. 11.02x8.50x0.87 inches. In Stock.

Condizione: New.

Condizione: New.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

Paperback. Condizione: new. Paperback. Machine Learning in in Earth, Environmental and Planetary Sciences: Theoretical and Practical Applications Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. In English.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Condizione: New.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Paperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.

Condizione: New.

Condizione: New. In English.

Taschenbuch. Condizione: Neu. Water Engineering Modeling and Mathematic Tools | Pijush Samui (u. a.) | Taschenbuch | Englisch | 2021 | Elsevier Inc | EAN 9780128206447 | Verantwortliche Person für die EU: Kolibri 360 GmbH, Ettore-Bugatti-Str. 6-14, 51149 Köln, produktsicherheit[at]kolibri360[dot]de | Anbieter: preigu.…

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a modern perspective on hazard and risk assessment in civil engineering, with special attention to sustainable infrastructure development. Through its comprehensive coverage of theoretical concepts and its thoughtful integration of sustainability into engineering practice, it serves as a valuable resource for professionals, researchers, and students.It bridges the gap between hazard and risk assessment and the principles of sustainable development, presenting a holistic approach to identifying, assessing, and mitigating risks associated with natural hazards while advancing sustainable infrastructure solutions. Beyond outlining core concepts, the book provides practical examples, user friendly code, and step by step software guidance. Readers will find numerous illustrations, diagrams, tables, and case studies that deepen understanding and support the application of risk assessment methodologies.Ultimately, the book is a guide to unlocking innovative solutions and shaping the future of civil engineering. Civil engineers, environmental scientists, policymakers, and anyone interested in understanding risk assessment will benefit from its insights into building a sustainable, resilient world.…

Condizione: As New. Unread book in perfect condition.

Condizione: New. 2023. 1st Edition. Paperback. . . . . .

Paperback. Condizione: New. Water Engineering Modeling and Mathematic Tools provides an informative resource for practitioners who want to learn more about different techniques and models in water engineering and their practical applications and case studies. The book provides modelling theories in an easy-to-read format verified with on-site models for specific regions and scenarios. Users will find this to be a significant contribution to the development of mathematical tools, experimental techniques, and data-driven models that support modern-day water engineering applications. Civil engineers, industrialists, and water management experts should be familiar with advanced techniques that can be used to improve existing systems in water engineering. This book provides key ideas on recently developed machine learning methods and AI modelling. It will serve as a common platform for practitioners who need to become familiar with the latest developments of computational techniques in water engineering.…

Condizione: As New. Unread book in perfect condition.

Condizione: New. Describes how to develop different schemes of machine learning techniques and apply to Earth, environmental and planetary data Provides detailed, guided line-by-line examples using real-world data, including the appropriate MATLAB codes.

Condizione: New.