Cover: Application of Soft Computing Techniques in Geotechnical Engineering and Risk Analysis (E-Book)
Priti Maheshwari

Teil der Reihe: Springer Nature Proceedings excluding Computer Science

Application of Soft Computing Techniques in Geotechnical Engineering and Risk Analysis

Proceedings of the Indian Geotechnical Conference 2023
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Inhaltsangabe

Artificial Intelligence Application in Geotechnical Engineering A Review.- Machine Learning Based Earthquake Prediction Model A Comparative Study of Time Series Analysis and Conventional Algorithms.- Prediction of the Critical Failure Surface and Factor of Safety of Finite Slopes Using Machine Learning Algorithms.- Comparing Machine Learning Techniques for Accurate Prediction of Unconfined Compressive Strength of Fine-Grained Soil.- Post event landslide detection using ResU Net model.- A Comparative Study for Predicting Standard Penetration Number Through ML Techniques.

Produktdetails
  • Erscheinungsdatum: 29.10.2025
  • Autor/Autorin: Priti Maheshwari
  • Reihe: Springer Nature Proceedings excluding Computer Science
  • Format: E-Book
  • Dateiformat: PDF
  • Kopierschutz: Wasserzeichen
  • Dateigröße: 31.9 MB
  • Verlag: SPRINGER
  • Sprache: Englisch
  • Umfang: 245 Seiten
  • ISBN: 9789819695294
  • Lieferung: Sofort per Download
  • Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
  • Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.
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