Sentence examples for more efficient exploration from inspiring English sources

Accurate predictions of oil and gas reservoir properties are important for more efficient exploration and production of fossil energy resources.

This knowledge enables scientists to predict, for example, long-term weather and climatic changes and leads to more efficient exploration and exploitation of the Earth's resources, which in turn result in better management of the environment in general.

The low computational footprint of proposed frontier generation approach provides the opportunity for exploration strategies to process frontier information at much higher frequencies which could be used to generate more efficient exploration strategies.

This methodology will foster more efficient exploration of biologically relevant chemical space of natural products in pesticide discovery, and can also be tailored readily for the lead optimization in medicinal chemistry.

The formation of placer deposits including gold, diamonds and other heavy minerals is also controlled by sediment transport processes, so that these studies can form the basis for more efficient exploration programs.

This work has demonstrated a successful application of the hybridization of three Artificial Intelligence techniques in one of the real-life problems encountered in oil and gas production where high quality information and accurate predictions are required for better and more efficient exploration, resource evaluation and their management.

It was concluded that HIS has huge potentials in the improvement of petroleum reservoir property predictions resulting in improved exploration, more efficient exploitation, increased production, and more effective management of energy resources.

This contributes greatly to more efficient data exploration and analysis with the PDDB.

Results indicate that the UDI framework provides easier and more computationally efficient exploration and querying of urban data and in turn can enable new computational approaches to urban system design, management and operations.

Though new regulator binding sites have long been assumed to primarily evolve by gradual point-wise mutations [18], regulator binding site rearrangements, or "promoter shuffling" (in analogy to the more familiar "exon shuffling"), could allow for more rapid and efficient exploration of the regulatory space of promoters and might therefore be an important evolutionary force [19].

This means that humans became markedly more efficient than the exploration algorithms that best described their naive performance.