Sentence examples for data for achieving from inspiring English sources
The phrase 'data for achieving' is grammatically correct and can be used in written English
It is often used to refer to the facts, figures, and information needed to do or complete something. For example, "We conducted research to collect data for achieving our goal of growing our subscriber base."
One recent trend is the use of multimodal data for achieving high reliability [ 1– 3].
The WHO Secretariat convenes regular meetings with key data providers on alcohol consumption to discuss and triangulate available data for achieving better estimates when national data are either unavailable or incomplete.
However, there is a lack of research regarding the seamless integration of these heterogeneous data models for achieving effective data communication, which is essential to enhance business workflow of enterprises.
Even though, pure FEC-based schemes can reduce the end-to-end delay, such schemes compromise on effective data rate for achieving reliability.
In contrast, in [12] it is theoretically shown that (eta<0.5) only requires increasingly larger data sets for achieving small reconstruction errors.
The main advantages of MC-SSL over SSL are (a) support for end-to-end security in the presence of partially trusted proxies, and (b) selective data protection for achieving computational efficiency important to resource-constrained clients and heavily loaded servers.
This objective leads to the new double-stage hybrid approach proposed in this research paper to utilize both statistical (wind farm SCADA records) and physical (NWP meteorological variables) data sources for achieving an effective and more accurate short-term wind power forecaster model.
Methods have also been proposed to integrate multiple data sources for achieving high accuracy [ 13].
The challenges any data center faces in power consumption are listed below Lack of Access to Basic Data: Accurate data is required for achieving short-term and long-term capacity planning to ensure organizations don't overinvest or underinvest in power and cooling infrastructure.
Lack of Access to Basic Data: Accurate data is required for achieving short-term and long-term capacity planning to ensure organizations don't overinvest or underinvest in power and cooling infrastructure.
In this paper we propose a data management methodology for achieving parallelism in bioinformatics workflows, while simultaneously minimizing data-interdependent file transfers.
