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This paper analyzes the statistical toolkit of Eurostat for collecting and processing data on the implementation of Artificial Intelligence (AI) in enterprises across European Union (EU) countries. The study defines the ...

The emergence of business intelligence (BI) from advancements in information technology transforms vast amounts of company data into valuable information crucial for strategic decision-making. Numerous studies have sho...

The rapid expansion of conversational artificial intelligence (AI) usage in healthcare, nutrition, and digital health education has made prompting a routine part of professional and personal practice. However, each AI pr...

The prediction of suspended sediment concentration (SSC) is of critical importance for the management of aquatic ecosystems, flood control, and erosion assessments. However, the continuous measurement of SSC is technical...

Abstract Grinding chatter is a self-induced vibration which is unfavorable to precision machining processes. This paper proposes a forecasting method for grinding state identification based on bivarition empirical mode d...

Education-related businesses are conducted by SMPN 286 West Jakarta. The traditional method of recording and processing student grade data by the concerned teacher frequently results in errors. Hence SMPN 286 intends to ...

Abstract Long-range dependency processing is the core challenge of sequence modeling, and traditional sequence modeling algorithms suffer from information decay and low parallel computing efficiency in ultra long sequenc...

Abstract Objective To assess the efficacy of non-surgical treatment for adenomyosis. Data Sources A search was performed by two authors in the Pubmed, Scopus, and Scielo databases and in the grey literature from incep...

Machine learning (ML) and neuromorphic computing have been enforcing problem-solving in many applications. Such approaches found fertile ground in optical communications, a technological field that is very demanding in t...

With the constant advancement of the smart grid, zero-day attack processes in Advanced Metering Infrastructure (AMI) and Supervisory Control and Data Acquisition (SCADA) networks are also continually evolving. This study...

Formulation of the problem. In scientific research in sociology, education, physics, chemistry and other sciences, methods of correlation analysis are used. Correlation coefficients are used to determine the existence of...

As Machine Learning Operations (MLOps) adoption accelerates, systematic integration of explainability is imperative for reliability, transparency, and continuous quality assurance. This paper presents a scoping review ex...

A data warehouse efficiently processes a given set of queries by utilizing the multiple materialized views. Owing to the constraint on space and maintenance cost, the materialization of all views is unfeasible. One of th...

This dataset comprises physiological signals recorded via a wearable device (Empatica E4) during structured acute stress induction and both aerobic and anaerobic exercise sessions. Collected metrics include blood volume ...

Las aplicaciones de Soporte de Decisiones involucran consultas complejas en base de datos muy grandes. Partiendo de que los tiempos de respuestas deberían ser pequeños, la optimización de consultas o querys es muy cr...

The studies of Relational Data Base Management Systems and Databases constitute nowadays a main tren of investigation in large businesses and universities of the entire world. The creation of a data base engine keeps bei...

Parallel computing on networks of workstations are intensively used in some application areas such as linear algebra operations. Topics such as processing as well as communication hardware heterogeneity are considered so...

"In current Big Data scenarios, traditional data warehousing and Online Analytical Processing (OLAP) operations on cubes are clearly not sufficient to address the current data analysis requirements. Nevertheless, OLAP op...

Fil: Schäffner, Wolfgang. Universidad de Buenos Aires; Argentina. Fil: Schäffner, Wolfgang. Universidad Humboldt; Alemania. El trabajo analiza la descripción estadística de México que Humboldt realiza en su Ensayo s...

When IBM's John Backus first developed the Fortran programming language, back in 1957, he certainly never dreamt that it would become a world-wide success and still be going strong many years later. Given the oft-repeate...

In some cases, low resolution of those images composing a video film hinders the proper visual interpretation of its data. A typical example of this is video obtained from security cameras. There thus exists the need to ...

This research presents a fingerprint image processing algorithm for personal automatic identification, which has been in development since 1998. It is principally based on the comparison of the fingerprint's biometric pa...

En los últimos años, el área de la investigación y el desarrollo de los vehículos au- tónomos tuvo un gran auge debido a su impacto en los sectores económicos, culturales y ambientales. La detección y el seguim...

La existencia de relaciones o dependencias estadísticas en los datos (correlaciones) se puede estudiar mediante herramientas estadísticas que se han desarrollado en los últimos dos siglos. Sin embargo, una pregunta t...