Muutke küpsiste eelistusi

E-raamat: Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure

Edited by
  • Formaat: 458 pages
  • Ilmumisaeg: 17-Nov-2022
  • Kirjastus: CRC Press
  • Keel: eng
  • ISBN-13: 9781000789058
Teised raamatud teemal:
  • Formaat - EPUB+DRM
  • Hind: 89,69 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Lisa ostukorvi
  • Lisa soovinimekirja
  • See e-raamat on mõeldud ainult isiklikuks kasutamiseks. E-raamatuid ei saa tagastada.
Leveraging Artificial Intelligence in Engineering, Management, and Safety of InfrastructureSuurem pilt
  • Formaat: 458 pages
  • Ilmumisaeg: 17-Nov-2022
  • Kirjastus: CRC Press
  • Keel: eng
  • ISBN-13: 9781000789058
Teised raamatud teemal:

DRM piirangud

  • Kopeerimine (copy/paste):

    ei ole lubatud

  • Printimine:

    ei ole lubatud

  • Kasutamine:

    Digitaalõiguste kaitse (DRM)
    Kirjastus on väljastanud selle e-raamatu krüpteeritud kujul, mis tähendab, et selle lugemiseks peate installeerima spetsiaalse tarkvara. Samuti peate looma endale  Adobe ID Rohkem infot siin. E-raamatut saab lugeda 1 kasutaja ning alla laadida kuni 6'de seadmesse (kõik autoriseeritud sama Adobe ID-ga).

    Vajalik tarkvara
    Mobiilsetes seadmetes (telefon või tahvelarvuti) lugemiseks peate installeerima selle tasuta rakenduse: PocketBook Reader (iOS / Android)

    PC või Mac seadmes lugemiseks peate installima Adobe Digital Editionsi (Seeon tasuta rakendus spetsiaalselt e-raamatute lugemiseks. Seda ei tohi segamini ajada Adober Reader'iga, mis tõenäoliselt on juba teie arvutisse installeeritud )

    Seda e-raamatut ei saa lugeda Amazon Kindle's. 

The design, construction, and upkeep of infrastructure is comprised of a multitude of dimensions spanning a highly complex paradigm of interconnected opportunities and challenges. While traditional methods fall short of adequately accounting for such complexity, artificial intelligence (AI) presents novel and out-of-the-box solutions that effectively tackle the growing demands of our infrastructure. The convergence between AI and civil engineering is an emerging frontier with tremendous potential.

The book is likely to provide a boost to the state of infrastructure engineering by fostering a new look at civil engineering that capitalizes on AI as its main driver. It highlights the ongoing push to adopt and leverage AI to realize contemporary, intelligent, safe, and resilient infrastructure. The book comprises interdisciplinary and novel works from across the globe. It presents findings from innovative efforts supplemented with physical tests, numerical simulations, and case studies – all of which can be used as benchmarks to carry out future experiments and/or facilitate the development of future AI models in structural engineering, traffic engineering, construction engineering, and construction materials.

The book will serve as a guide for a wide range of audiences, including senior undergraduate and graduate students, professionals, and government officials of civil, traffic, and computer engineering backgrounds, as well as for those engaged in urban planning and human sciences.



This unique book showcases the applications of various sub-fields of artificial intelligence (AI) in engineering, management and safety aspects of infrastructure.

1. Convolutional Neural Networks and Applications on Civil
Infrastructure
2. Identifying Non-linearity in Construction Workers'
Personality: Safety Behaviour Predictive Relationship Using Neural Network
and Linear Regression Modelling
3. Machine Learning Framework for Predicting
Failure Mode and Flexural Capacity of FRP-Reinforced Beams
4. A Novel
Formulation for Estimating Compressive Strength of High Performance Concrete
Using Gene Expression Programming
5. Implementation of Data-Driven Approaches
for Condition Assessment of Structures and Analyzing Complex Data
6.
Automatic Detection of Surface Thermal Cracks in Structural Concrete with
Numerical Correlation Analysis
7. State-of-the-Art Research in the Area of
Artificial Intelligence with Specific Consideration to Civil Infrastructure,
Construction Engineering and Management, and Safety
8. Artificial
Intelligence in Concrete Materials: A Scientometric View
9. Active Learning
Kriging-Based Reliability for Assessing the Safety of Structures: Theory and
Application
10. A Bayesian Estimation Technique for Multilevel Damage
Classification in DBHM
11. Machine learning and IoT Data for Concrete
Performance Testing and Analysis
12. Knowledge-enhanced Deep Learning for
Efficient Response Estimation of Nonlinear Structures
13. Damage Detection in
Reinforced Concrete Girders by Finite Element and Artificial Intelligence
Synergy
14. Deep Learning in Transportation Cyber-Physical Systems
15.
Artificial Intelligence in the Construction Industry: Theory and Emerging
Applications for the Future of Work
16. The Use of Machine Learning in Heat
Transfer Analysis for Structural Fire Engineering Applications
17. Using
Artificial Intelligence to Derive Temperature Dependent Mechanical Properties
of Ultra-High Performance Concrete
18. Smart Tunnel Fire Safety Management by
Sensor Network and Artificial Intelligence
M.Z. Naser is a tenure-track faculty member at the School of Civil and Environmental Engineering & Earth Sciences, a member of the AI Research Institute for Science and Engineering (AIRISE) at Clemson University, USA. Dr. Naser has co-authored over 100 publications and has 10 years of experience in structural engineering and AI. His research interest spans causal & explainable AI methodologies to discover new knowledge hidden within the domains of structural & fire engineering and materials science to realize functional, sustainable, and resilient infrastructure. He is a registered professional engineer and a member of various international editorial boards and building committees.
Lisainfo e-raamatute kohta Lisainfo e-raamatute kohta
Püsilink: https://www.kriso.ee/db/97810007890586e.html
Märksõnad: