Comparative Assessment of Concrete Compressive Strength Prediction at Industry Scale Using Embedding-based Neural Networks, Transformers, and Traditional Machine Learning Approaches

Documenti analoghi

• A Construction-Phase Digital Twin Framework for Quality Assurance and Decision Support in Civil Infrastructure Projects
  di: Islam, Md Asiful, et al.
  Pubblicazione: (2026)
• Strength Prediction of Geopolymer Concrete With Wide‐Ranged Binders and Properties Using Artificial Neural Network
  di: Md Merajul Islam, et al.
  Pubblicazione: (2024)
• CropNeRF: A Neural Radiance Field-Based Framework for Crop Counting
  di: Muzaddid, Md Ahmed Al, et al.
  Pubblicazione: (2026)
• Person Re-Identification via Generalized Class Prototypes
  di: Muzaddid, Md Ahmed Al, et al.
  Pubblicazione: (2025)
• Hybrid NDT‐Machine Learning Framework With SHAP‐Based Interpretation for Predicting Compressive Strength of Steel Slag Concrete
  di: Matiur Rahman Raju, et al.
  Pubblicazione: (2026)