Laser-scanning and 1D wavelet transform for artificial drainage detection in Mediterranean rural landscapes

Early fault detection in machineries cansave millions of dollars in emergency maintenance cost.This paper presents the comparison results of Fault diagnosisTechniques of gear

In this work, we propose in one hand, to develop algorithms based on Split Spectrum Processing (SSP) with Q constant method associated to "Group delay moving entropy".

The low degree of determination between the close-range models and forest at- tributes indicates that either a field sample to optimize the canopy model (Vauhkonen et al. 2014, 2016)

The latter an nuall y gathered the main authorit y holder s and su b -chie fs that is the six Omanhene of the different Akan States, the Asantehene‟s intermediaries in

Among deep learning models, convolutional neural networks (CNN) have been proved to work well on image data [2, 6], while stacked autoencoders are more suitable for learning

The use of simulations enabled teasing apart the relative importance of species richness, species dominance and species functional traits, and demonstrated that only when minimizing

2) policies and procedures for charges to clients for home support services vary (for instance, priority is given in Québec to low-income clients without formal income testing);

To date, only one controlled trial (completed in Québec in 2003) has been conducted with these issues in mind. According to that study, portable oxygen equipment apparently offers