Predicting financial distress of slovak enterprises: Comparison of selected traditional and learning algorithms methods

E Gregova, K Valaskova, P Adamko, M Tumpach… - Sustainability, 2020 - mdpi.com
Predicting the risk of financial distress of enterprises is an inseparable part of financial-
economic analysis, helping investors and creditors reveal the performance stability of any …

Bankruptcy or success? the effective prediction of a company's financial development using LSTM

M Vochozka, J Vrbka, P Suler - Sustainability, 2020 - mdpi.com
There is no doubt that the issue of making a good prediction about a company's possible
failure is very important, as well as complicated. A number of models have been created for …

Community of practice: Converting IT graduate students into specialists via professional knowledge sharing

L Stanca, DC Dabija, E Păcurar - Kybernetes, 2022 - emerald.com
Purpose The paper aims to highlight how an applied learning framework or “community of
practice”(CoP) combined with a traditional theoretical course of study enables the …

Repeated COVID-19 pandemic-related media consumption: Minimizing sharing of nonsensical misinformation through health literacy and critical thinking

D Rommer, J Majerova, V Machova - Linguistic and philosophical …, 2020 - ceeol.com
The aim of this paper is to synthesize and analyze existing evidence on repeated COVID-19
pandemic-related media consumption. Using and replicating data from Annenberg Science …

[PDF][PDF] Application of an improved optimization using learning strategies and long short term-memory for bankruptcy prediction

JA Adisa, S Ojo, PA Owolawi, A Pretorius… - … International Journal of …, 2023 - iaeng.org
Over the past century, bankruptcy prediction has dominated economics headlines and
continues to do so. An efficient way to deal with bankruptcy is to develop models that …

Big data management of smart sustainable cities: networked digital technologies and automated algorithmic decision-making processes

E Nica, V Konecny, M Poliak, T Kliestik - Management Research and …, 2020 - ceeol.com
Empirical evidence on big data management of smart sustainable cities has been scarcely
documented in the literature. Using and replicating data from Black & Veatch, ESI …

Applying the balanced scorecard and predictive analytics in the administration of a European funding program

A Psarras, T Anagnostopoulos, N Tsotsolas… - Administrative …, 2020 - mdpi.com
The performance measurement of a great variety of enterprises is a highly complicated
issue, especially taking into account that performance has a great many aspects and many …

Machine Learning and the Internet of Things for Industrial Process Improvement

S Salagrama, A Garg, J Logeshwaran… - … on Computation of …, 2024 - Springer
Since its inception in the 1980s and early proof of principle for hardware in the 2000s,
quantum computing has made tremendous strides. Despite the fact that the technology is …

Industrial artificial intelligence, internet of things smart devices, and big data-driven decision-making in digital-twin-based cyber-physical production systems

R Breillat - Economics, Management, and Financial Markets, 2020 - ceeol.com
This paper analyzes the outcomes of an exploratory review of the current research on digital-
twin-based cyber-physical production systems. The data used for this study was obtained …

Networked intimacy, data-driven dating, and gendered social meanings in the online sexual marketplace

J Scott - Journal of Research in Gender Studies, 2020 - ceeol.com
Despite the relevance of the online sexual marketplace, only limited research has been
conducted on this topic. Using and replicating data from Pew Research Center, Statista, and …