The compressive strength (CS) is the most important parameter in the design codes of reinforced concrete structures. The development of simple mathematical equations for the prediction of CS of ...
Dippu is a strategic Data & Analytics leader and thought leader in emerging solutions, including Computer Vision and Generative AI/LLMs. Dippu is a strategic Data & Analytics leader and thought leader ...
Abstract: This research proposes a stacking machine learning method to accurately predict the compressive strength of recycled concrete. The model integrates eXtreme Gradient Boosting (XGBoost), Extra ...
Four-point bending tests were conducted on SFRC of different varieties, lengths, and dosages to determine their effects on the flexural tensile strength and flexural toughness of secondary mixed ...
Abstract: To enhance the environmental sustainability and cost-effectiveness of foamed concrete (FC), this study proposes the use of low-cost and low-energy-consumption wollastonite microfibers (WFs) ...
Dec 16 2025 We released the preprint and Project Page for Sparse-LaViDa, an efficient optimization technique for training and sampling from unified multi-modal dLLMs based on LaViDa. Oct 2025: We ...
Accurate prediction of concrete compressive strength is essential for ensuring the durability and safety of concrete structures. This study utilizes the Deep Forest (GC Forest) model to predict ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback