Prediction of energy consumption in an electric arc furnace using Weka

N León-Munizaga, M Aguirre-Munizaga… - … on Technologies and …, 2020 - Springer
Industry 4.0 and digital transformation have managed to integrate technology into production
processes with the aim of improving their automation levels. The purpose of this research …

[引用][C] Análisis y detección de fallas en motores eléctricos aplicando algoritmos de inteligencia artificial

BA Odar Chero - 2023 - Universidad de Piura

[PDF][PDF] A Tent Lévy Flying Sparrow Search Algorithm for Wrapper-Based Feature Selection: A COVID-19 Case Study. Symmetry 2023, 15, 316

Q Yang, Y Gao, Y Song - 2023 - researchgate.net
The “Curse of Dimensionality” induced by the rapid development of information science
might have a negative impact when dealing with big datasets, and it also makes the …

[HTML][HTML] Методы объединения, сокращения размеров и обработка больших данных

ПИ Питкевич - Инженерный вестник Дона, 2021 - cyberleninka.ru
Актуальность исследования обусловлена тем, что анализ больших данных может быть
проблематичным, так как он зачастую включает сбор и хранение смешанных данных …

Review on the Application of Big Data Algorithms to Understand a Pandemic Virus

A Guzmán-Ponce, JL González-Ruíz… - … of Research on …, 2023 - igi-global.com
The COVID-19 pandemic is an ever-evolving and accumulating public health crisis affecting
global populations. Scientist worldwide have generated proposal through big data technics …

The impact of digitization on corporate controlling and the role of controllers

J Hastenteufel, M Dorow, S Weber - Managerial Economics, 2023 - journals.agh.edu.pl
Digitization is a megatrend that strongly influences organisations and is reflected in all
business processes and operational functions. It is therefore not surprising that controlling is …

On data-preprocessing for effective predictive maintenance on multi-purpose machines

L Meitz, M Heider, T Schöler, J Hähner - 2023 - opus.bibliothek.uni-augsburg.de
Maintenance of complex machinery is time and resource intensive. Therefore, decreasing
maintenance cycles by employing Predictive Maintenance (PdM) is sought after by many …

Algoritmos de inteligencia computacional para abordar problemas de detección de anomalías en entornos Big Data

J Carrasco Castillo - 2023 - digibug.ugr.es
La proliferación del uso de sistemas informáticos en todo tipo de ámbitos, tanto médico,
industrial, económico y científico ha traído consigo la generación de volúmenes cada vez …

Hierarchical multi-stage dimensional reduction based on feature hashing and bi-filtering strategy for large-scale text classification

A Ado - 2023 - eprints.uthm.edu.my
The advancement in technology has resulted in large size of data, which then introduce
challenges to labelling or classification tasks with high dimensional features. Specifically, in …

[PDF][PDF] Modelling Heterogeneous Time Series from Irregular Data Streams

FMA Shaqra - 2024 - rmit.figshare.com
In this era of rapid advances in technology, machine learning and artificial intelligence (AI)
have emerged as transformative forces, revolutionising the way we approach complex real …