Search academic resources

Data analytics is the essential component in deriving insights from data obtained from multiple sources. It represents the technology, methods and techniques used to obtain insights from massive datasets. As data increas...

Globally, the long-haul transmission of ultra-high bandwidth data is enabled through coherent communications. Driven by the rapid pace of growth in interconnectivity over the last decade, long-haul data transmission has ...

BackgroundIn the field of geological exploration of coal mines, methods such as in-seam seismic exploration, the transient electromagnetic method, and audio-frequency electrical penetration offer unique technical advanta...

Organizations have become highly reliant on a range of data sources that span structured, semi-structured, and unstructured data types. These repositories allow large-scale storage for faster ingestion and analytics but ...

Abstract Background Reproductive, maternal, newborn, child health, and nutrition (RMNCH&N) data is an indispensable tool for program and policy decisions in low- and middle-income countries. However, being equipped with ...

Abstract The accurate estimation of parameters is the premise for establishing a high-fidelity simulation model of a valve-controlled cylinder system. Bench test data are easily obtained, but it is challenging to emulate...

Abstract Background Our objective is to investigate the association between prospectively-reported and retrospectively-reported falls data and the likelihood of subsequent falls in a cohort of patients with and without v...

Abstract Background Cerebral palsy (CP) registers serve as instrumental tools to support development of care pathways, preventative strategies, and health gains. Such health gains, however, are not always universal, wit...

The Intrastat system is used for gathering statistical data on trade in goods between the EU Member States. Data from all the Member States are aggregated by Eurostat. Specifics of the data collection process are differe...

Insurance companies that have adopted the application of data mining methods in their business have become more competitive in the insurance market. Data mining methods provides the insurance industry with numerous adv...

The problem of incomplete data matrices is repeatedly found in large databases; posing a significant obstacle for an effective treatment of data. This paper examines a self-organizing-map (SOM) based method of data imput...

The continuing expansion of connected and electro-mobility products and services has led to their ability to rapidly generate very large amounts of data, leading to a demand for effective data management solutions. This ...

The Indonesian Navy organization has the duties and responsibilities of state sovereignty. In carrying out its duties, very large and large data and real time data include data on ships in all Indonesian waters from sate...

Nowadays, electric vehicles (EVs) are increasingly equipped with advanced onboard devices capable of collecting and recording real-time charging data. The analysis of such data from a large-scale EV fleet plays a crucial...

ABSTRACT Background and Aim Healthcare data quality is critical for informed decision‐making and effective healthcare management. However, variability in perceived data quality exists across different healthcare facili...

Abstract Background The reuse of health data is critical for advancing health research, yet it raises complex ethical, legal, and societal challenges. In the European Union, the recently adopted European Health Data Spac...

Subjects / keywords: Big data; Computer science; Electronic books

Subjects / keywords: Data protection; Colombia; Privacy, Right of; Big data; Law and legislation; Information technology

Abstract Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The Biobanking and Biomolecular Resources European Research Infrastructure (BBMRI-ERIC) established a CRC-Cohort with European cover...

To solve the problem of lack of market insight and insufficient innovation creativity in entrepreneurship of college students, this paper aims to explore the application of data mining and predictive analysis technology ...

Digital phantoms are virtual representations of the human body used in medical research to test equipment, train medical professionals and develop or validate algorithms. These models can be created from ‘real-world’...

"The amount of multidimensional data published on the semantic web (SW) is constantly increasing, due to initiatives such as Open Data and Open Government Data, among other ones. Models, languages, and tools, that allow ...

This study focuses on the grassroots data practices of an environmental non-government organization (ENGO), examining the constitutive role of data in environmental activism in China. Drawing on the concept of contentiou...

Disease classification based on drug prescription data plays a crucial role in helping healthcare professionals understand patient health conditions and supporting clinical decision-making. Drug prescription data actuall...