Preparation of Flood Model and Hazard Estimation on Yamuna River (using GIS and Remote Sensing)
Full text
Figure
Related documents
cycles; as CIOs must evaluate the size of their estate, the complexity of their trading environments – and whether they need a dedicated platform provided by the incumbent
In order to evaluate how the errors in predictions by matrix completion-based methods impact the ranking performance of the estimated low-rank model, we analyzed the top n % of
The explanation for the low adjustment costs in relation to the benefits is as follows: (1) most importantly, adjustment costs are typically short term and terminate when workers
Decomposition of sodium metabisulfite and solutions may release toxic and hazardous fumes of sulfur oxides, including sulfur dioxide, which may cause
It is common to hear that housing glut is caused mainly by spiking up of housing prices and that the developers do not build enough affordable homes. However, the empirical
The proposed model is the only one that is applicable in environments including sensitive data, prohibiting access scans over raw-data and knowledge of raw-data updates (required
Feedforward neural networks (FNNs), or multilayer perceptrons (MLPs) [53], are the archetypes of deep learning models. These networks were inspired by neuroscience and how
In summary, in our study, PUC occurred in 32% of dogs with CKD and was subclinical in 92% of these cases. This high frequency of PUC also was found in dogs with IRIS stage 1