|
|
|
|
|
Madhurima Das, Chandan Kumar Deb, Ram Pal and Sudeep Marwaha
In this study, leaf area prediction models of Dendrobium nobile, were developed through machine learning (ML) techniques including multiple linear regression (MLR), support vector regression (SVR), gradient boosting regression (GBR), and artificial neura...
ver más
|
|
|
|
|
|
|
|
|
Simon Cleven, Michael Raupach and Thomas Matschei
The in-situ measurement of the content and orientation of steel fibres in concrete structures is of great importance for the assessment of their specific mechanical properties, especially in the case of repair. For existing structures, the actual fibre c...
ver más
|
|
|
|
|
|
|
|
|
Domenico Camassa, Anna Castellano, Aguinaldo Fraddosio, Giuseppe Miglionico and Mario Daniele Piccioni
An experimental investigation on the accuracy of dynamically determined tensile force in tie-rods by applying the interferometric radar technique was performed. Tie-rods were used in historical masonry constructions for absorbing thrusts of arches and va...
ver más
|
|
|
|
|
|
|
|
|
Wioletta Raczkiewicz and Artur Wójcicki
The electrochemical galvanostatic pulse method (GPM) is used for the evaluation of the degree of corrosion risk of reinforcement in concrete. This non-destructive method enables determining the corrosion promoting conditions through the measurements of r...
ver más
|
|
|
|
|
|
|
|
|
Héctor Echavarria-Heras, Cecilia Leal-Ramirez, Enrique Villa-Diharce and Juan Ramón Castro-Rodríguez
(1) Background: We previously demonstrated that customary regression protocols for curvature in geometrical space all derive from a generalized model of complex allometry combining scaling parameters expressing as continuous functions of covariate. Resul...
ver más
|
|
|
|