[HTML][HTML] Concept of early prediction and identification of truck vehicle failures supported by In-Vehicle telematics platform based on abnormality detection algorithm

I Semenov, A Świderski, A Borucka, P Guzanek - Applied sciences, 2024 - mdpi.com
As automotive technology advances in the realm of digitization, vehicles are becoming
smarter and, at the same time, more vulnerable to various threats. This paper focuses on …

[HTML][HTML] Enhanced Indoor Positioning System Using Ultra-Wideband Technology and Machine Learning Algorithms for Energy-Efficient Warehouse Management

D Gnaś, D Majerek, M Styła, P Adamkiewicz… - Energies, 2024 - mdpi.com
The following article presents a proprietary real-time localization system using temporal
analysis techniques and detection and localization algorithms supported by machine …

Integration of statistical analysis and machine learning techniques for enhanced quality control in candle oil cartridge manufacturing

M Kulisz, K Antosz, E Kozłowski - Design, Simulation, Manufacturing: The …, 2024 - Springer
Quality control is crucial in production and plays a key role in ensuring the delivery of
superior products. The research presented in this paper aimed to establish a robust decision …

[HTML][HTML] The use of the multi-sequential LSTM in electrical tomography for masonry wall moisture detection

M Kulisz, G Kłosowski, T Rymarczyk, A Hoła, K Niderla… - Measurement, 2024 - Elsevier
The study describes an innovative approach to reconstructing moisture distribution within
walls using EIT, extending beyond the conventional single measurement vector methods …

Biometric Breakthroughs for Sustainable Travel: Transforming Public Transportation through Secure Identification

K Čižiūnienė, M Prokopovič, J Zaranka, J Matijošius - Sustainability, 2024 - mdpi.com
This study investigates the use of biometric technology in public transit to improve trip safety
and effectiveness. The incorporation of biometric technology into transit networks improves …

Detection and Determination of User Position Using Radio Tomography with Optimal Energy Consumption of Measuring Devices in Smart Buildings

M Styła, E Kozłowski, P Tchórzewski, D Gnaś… - Energies, 2024 - mdpi.com
The main objective of the research presented in the following work was the adaptation of
reflection-radar technology in a detection and navigation system using radio-tomographic …

Validation of Ecology and Energy Parameters of Diesel Exhausts Using Different Fuel Mixtures, Consisting of Hydrogenated Vegetable Oil and Diesel Fuels …

J Matijošius, A Rimkus, A Gruodis - Machines, 2024 - mdpi.com
Machine learning models have been used to precisely forecast emissions from diesel
engines, specifically examining the impact of various fuel types (HVO10, HVO 30, HVO40 …

Reduction of dynamic loads in the drive system of mining scraper conveyors through the use of an innovative highly flexible metal coupling.

AN Wieczorek, Ł Konieczny, G Wojnar… - Maintenance & …, 2024 - search.ebscohost.com
The article provides a discussion on the results of the authors' original studies of a power
transmission system of a mining scraper conveyor coupled with an innovative highly flexible …

Application of Logistic Regression to Analyze The Economic Efficiency of Vehicle Operation in Terms of the Financial Security of Enterprises

M Grzelak, P Owczarek, RM Stoica, D Voicu, R Vilău - Logistics, 2024 - mdpi.com
Background: A measurable feature of the efficiency of vehicle use in transportation
companies is the revenue from transport orders, which has a significant impact on their …

The use of decision trees to identify the causes of failures in a medical enterprise-a case study

I Rojek, M Jasiulewicz-Kaczmarek, M Piechowski… - IFAC-PapersOnLine, 2024 - Elsevier
The large amount of historical data contains information about events that occur along an
industrial production line. Having a set of historical data about emergency events and their …