Sentence examples for for efficiently handling from inspiring English sources

Geographical information system (GIS) provides an excellent framework for efficiently handling large and complex spatial data for natural resources management (Jenson and Trautwein 1987; Burrough 1986).

Recently, stochastic gradient descent (SGD) frameworks [6, 19, 20] have emerged as building blocks to develop the learning methods for efficiently handling the large-scale dataset.

Moreover, we introduce a new management system for efficiently handling level of detail objects in order to improve performance for forest scenes.

Moreover, for efficiently handling out-of-sample extension and learning with the local consistency, we decompose the manifold learning as a two-step approach.

The increasing customer base has been posing a challenging situation for the existing Internet architecture that cannot be used for efficiently handling the massively growing demands with respect to optimal channel capacity and traffic congestion controls.

In particular, our new quasi-solved form has been carefully designed for efficiently handling conjunction and negation, which are the main Boolean operations necessary to keep matrices of formulas in normal form.

A low-level flexible-structure control is proposed for designing control systems capable of efficiently handling constraints on the manipulated variables of heat exchanger networks (HENs).

As further reported in our previous work (see, e.g., [29]), gossiping is ideal for effectively and efficiently handling the adverse effects of churn.

In this work we describe causal temporal constraint networks (CTCN) as a new computable model for representing temporal information and efficiently handling causality.

Auction proponents say they believe that they provide a better model for valuing all types of real estate and more efficiently handling transactions, and see a vital role for auctions long after the economy has recovered.

Efficiently handling complex terms and annotation types is thus still a challenge for such approaches, making the results of the BioCreative tasks particularly interesting to better understand the comparison between manual and automated extractions.