Sentence examples for data analytical technologies from inspiring English sources

In this paper, we propose the privacy-by-design paradigm to develop technological frameworks for countering the threats of undesirable, unlawful effects of privacy violation, without obstructing the knowledge discovery opportunities of social mining and big data analytical technologies.

Given new and emerging analytical technologies and data mining algorithms, the urine peptidome has become a rich resource for the discovery of naturally occurring peptide biomarkers.

The technology development roadmap for each aspect of the Smart Water Grid system follows a common theme: the adoption of real-time sensing methods and data analytical tools as ICT and analytical software solutions mature and new technologies emerge to better meet the needs of water utilities and customers.

Simultaneously, with the innovations in analytical technologies and methods, a more useful and high-throughput data processing software is also expected.

As analytical technologies for global and targeted measurements mature, especially with regards to metabolites, new findings and hypothesis can be verified utilizing quantitative data.

Advancements in analytical technologies within the metabolomics field and the development of defined methodologies and tools have facilitated the generation of robust and reproducible data for systems biology studies.

Mass spectrometry (MS) is one of the two predominant analytical technologies for metabolite identification.

Modern analytical technologies afford screening of many lipid molecular species in parallel.

Systematic data collection and review processes, standardized nomenclature, and analytical technology are crucial components for producing meaningful AER data trends and conducting signal detection.

This chapter aims to provide readers with an overview of recent applications of process analytical technology (PAT) and multivariate data analysis (MVDA) in pharmaceutical product development and manufacturing.

The integration of the empirical data and the fundamental mathematical modeling along with the in-process analytical technology is a powerful tool that should become the ultimate goal of the control strategy when possible.