Results 191 to 200 of about 629,041 (341)
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Investigating the influence of permeable formwork on the mechanical characteristics of glass fiber reinforced concrete. [PDF]
Kandasamy S+7 more
europepmc +1 more source
Robotic Environmental Monitoring Using Gelatin Hydrogels as a Biodegradable Adhesive
Gelatin‐based hydrogels are presented as a robust, biodegradable, and water‐soluble method of adhesion for robotic environmental monitoring. Factors affecting the adhesion strength are characterized, and the hydrogel is tested on different materials with varying surface roughness.
Christian Geckeler+2 more
wiley +1 more source
Flexural performance of reinforced concrete beams exposed to uncontrolled fire with and without plaster protection. [PDF]
Hisbani N+4 more
europepmc +1 more source
Useful data on reinforced concrete buildings for the designer and estimator
openalex +2 more sources
Review on the Strengthening of Reinforced Concrete Columns by Reinforced Concrete Jacketing [PDF]
Karim Sh, Karim Fr
openaire +1 more source
This study introduces a modular lab automation system with affordable robotics and artificial intelligence (AI), enabling flexible, human‐in‐the‐loop task orchestration. Key features include dynamic task recording, efficient data management, and AI‐assisted measurements.
Stefan Conrad+3 more
wiley +1 more source
A Comprehensive Review of Retrofitted Reinforced Concrete Members Utilizing Ultra-High-Performance Fiber-Reinforced Concrete. [PDF]
Saeed FH, Hejazi F.
europepmc +1 more source