Sentence examples for computational enhancement from inspiring English sources

This paper presents a study of the computational enhancement of a Graphics Processing Unit (GPU) enabled 2D flood model.

The recent revival of interest in retro-synthetic analysis [6, 7] is also an example of computational enhancement of our scientific knowledge.

Hence, a delamination prediction strategy via K-means clustering, ANN and optimization algorithms integrated with surrogate models based on ANN for computational enhancement have been successfully developed and found efficient for detection of the interface of delamination, its size and location in FRP composite laminates using variations in natural frequencies.

Computational enhancements for homoskedastic WGP models have been developed based on expectation-maximization (EM) based algorithms (Hayashi and Iwata 2010), or analytically derived posterior densities of each marker effect (Meuwissen et al. 2009).

This paper surveys this topic in terms of computational image enhancement, feature extraction, classification schemes and designed hardware-based acquisition set-ups.

We focus on some basic linear and nonlinear MIMO detection and precoding algorithms and their optimization for a DSP target, and a few principal steps for computational performance enhancement are outlined.

Computational intensive image enhancement algorithms such as the Retinex [2] and its variants including optimization through variational methods [3, 4] are not discussed.

Given an m × n image, the computational complexity of edge enhancement and GVF computation is O Kmn log(mn)), where K is the number of filters or the number of iterations.

This problem can be resolved by combining a Gaussian-pyramid-based adaptive scale selection method [6] or a multi-scale convolution method [12] with the proposed method; however, this design usually requires lots of computations and decreases the computational efficiency of the entire enhancement process.

This paper presents a novel energy-efficient sound separation algorithm with very low computational cost for speech enhancement in wireless-communicated binaural hearing aids.

In this work we report on a computational study regarding the enhancement of the absorption of mid infrared (MIR) light for gas sensing applications.