Big data platform for health and safety accident prediction

A Ajayi, L Oyedele, JM Davila Delgado… - World Journal of …, 2019 - emerald.com
Purpose The purpose of this paper is to highlight the use of the big data technologies for
health and safety risks analytics in the power infrastructure domain with large data sets of …

Recent advances in the theory and practice of logical analysis of data

M Lejeune, V Lozin, I Lozina, A Ragab… - European Journal of …, 2019 - Elsevier
Abstract Logical Analysis of Data (LAD) is a data analysis methodology introduced by Peter
L. Hammer in 1986. LAD distinguishes itself from other classification and machine learning …

[HTML][HTML] Machine vision based damage detection for conveyor belt safety using Fusion knowledge distillation

X Guo, X Liu, P Gardoni, A Glowacz, G Królczyk… - Alexandria Engineering …, 2023 - Elsevier
A belt conveyor system is one of the essential equipment in coal mining. The damages to
conveyor belts are hazardous because they would affect the stable operation of a belt …

Interpretable logic tree analysis: A data-driven fault tree methodology for causality analysis

K Waghen, MS Ouali - Expert Systems with Applications, 2019 - Elsevier
This paper proposes an effective hybrid-based methodology, called interpretable logic tree
analysis (ILTA), which characterizes and quantifies event causality occurring in engineering …

Subgroup discovery in machine learning problems with formal concepts analysis and test theory algorithms

I Masich, N Rezova, G Shkaberina, S Mironov… - Algorithms, 2023 - mdpi.com
A number of real-world problems of automatic grouping of objects or clustering require a
reasonable solution and the possibility of interpreting the result. More specific is the problem …

Methodology for complex efficiency evaluation of machinery safety measures in a production organization

H Pačaiová, M Andrejiová, M Balažiková… - Applied Sciences, 2021 - mdpi.com
Even though the rules for the free circulation of machinery within the European Union (EU)
market have existed for more than 30 years, accidents related to their activities have …

On Pareto-optimal Boolean logical patterns for numerical data

C Guo, HS Ryoo - Applied Mathematics and Computation, 2021 - Elsevier
This paper clarifies the difference between intrinsically 0–1 data and binarized numerical
data for Boolean logical patterns and strengthens mathematical results and methods from …

Sustainability Assessment of Machinery Safety in a Manufacturing Organization Using AHP and CART Methods

H Pačaiová, R Turisová, J Glatz, D Onofrejová - Sustainability, 2024 - mdpi.com
Machine safety is not only a prerequisite for successful production but also the foundation for
the sustainability and growth of any manufacturing organization. The latest approaches in …

Estimation of probability of harm in safety of machinery using an investigation systemic approach and Logical Analysis of Data

S Jocelyn, MS Ouali, Y Chinniah - Safety science, 2018 - Elsevier
In safety of machinery, estimating the probability of occurrence of harm is a recurrent
problem. This paper proposes and applies a new method to estimate that probability …

Graph, clique and facet of boolean logical polytope

K Yan, HS Ryoo - Journal of Global Optimization, 2022 - Springer
Logical analysis of data (LAD) discovers useful knowledge from a set of data in the form of a
Boolean pattern for classifying future data. Generating a pattern has been shown to be …