We consider the task of dimensionality reduction for regression (DRR) informed by realvalued multivariate labels. The problem is often treated as a regression task where the goal is to find a low dimensional representation of the input data that preserves the statistical correlation with the targets. Recently, Covariance Operator Inverse Regression (COIR) was proposed as an effective solution t...

Experimental research involving Arabidopsis thaliana often involves the quantification of phenotypic traits during cultivation on compost or other growing media. Many commercially-available growing media contain peat, but peat extraction is not sustainable due to its very slow rate of formation. Moreover, peat extraction reduces peatland biodiversity and releases stored carbon and methane into ...

Though data-parallelism addresses a wide variety of problems in scientiic computing, this model in inadequate for general adaptive applications. Coir is our object-oriented thread-based model for data and task parallelism 25, 22, 24]. In this paper we brieey discuss the Coir objects-thread objects for control-parallelism and groups of thread objects, called ropes, for data-parallelism. Using an...

Constructing structures on lateritic soil is challenging in geotechnical engineering due to the various physical and characteristics. Many studies investigated different stabiliser materials strengthen parameters of soil. This study used activated carbon coir fibre (ACF) stabilise soils as an environmentally friendly binder. Experiments including unconfined compressive strength (UCS) test direc...

The structure of the isolated milled "wood" lignin from coconut coir has been characterized using different analytical methods, including Py-GC/MS, 2D NMR, DFRC, and thioacidolysis. The analyses demonstrated that it is a p-hydroxyphenyl-guaiacyl-syringyl (H-G-S) lignin, with a predominance of G units (S/G ratio 0.23) and considerable amounts of associated p-hydroxybenzoates. Two-dimensional NMR...