Artificial neural networks for navigation systems: A review of recent research

DJ Jwo, A Biswal, IA Mir - Applied Sciences, 2023 - mdpi.com
Several machine learning (ML) methodologies are gaining popularity as artificial
intelligence (AI) becomes increasingly prevalent. An artificial neural network (ANN) may be …

Analysis of accuracy and reliability of different types of GPS receivers

M Rychlicki, Z Kasprzyk, A Rosiński - Sensors, 2020 - mdpi.com
There are several known cases of positioning error, leading to serious consequences,
sometimes also deadly. Therefore, obtaining accurate position data by means of GPS …

Design and experiment of an adaptive cruise weeding robot for paddy fields based on improved YOLOv5

J Ju, G Chen, Z Lv, M Zhao, L Sun, Z Wang… - … and Electronics in …, 2024 - Elsevier
Weed control in paddy fields is a critical agronomic practice for enhancing rice yield, in
which mechanical weed control is widely used due to its high weed control rate and …

The analysis and modelling of the quality of information acquired from weather station sensors

M Stawowy, W Olchowik, A Rosiński, T Dąbrowski - Remote Sensing, 2021 - mdpi.com
This article explores the quality of information acquired from weather station sensors. A
review of literature in this field concludes that most publications concern the analysis of data …

Immersive virtual reality as an empirical research tool: exploring the capability of a machine learning model for predicting construction workers' safety behaviour

Y Gao, VA González, TW Yiu, G Cabrera-Guerrero, N Li… - Virtual Reality, 2022 - Springer
In recent years, research has found that people have stable predispositions to engage in
certain behavioural patterns to work safely or unsafely, which vary among individuals as a …

The influence of varying atmospheric and space weather conditions on the accuracy of position determination

M Nowakowski, E Dudek, A Rosiński - Sensors, 2023 - mdpi.com
Today's technological developments make it possible to use machines to perform specific
tasks instead of humans. However, the challenge for such autonomous devices is to …

On the Correlation of Solar Activity and Troposphere on the GNSS/EGNOS Integrity. Fuzzy Logic Approach

K Krzykowska-Piotrowska, E Dudek, P Wielgosz… - Energies, 2021 - mdpi.com
There is a noticeable number of studies carried out on both the operational parameters of
Global Navigation Satellite System (GNSS) and the satellite signal itself. Researchers look …

The use of artificial neural networks to estimate optimum insulation thickness, energy savings, and carbon dioxide emissions

E Küçüktopcu, B Cemek - Environmental Progress & …, 2021 - Wiley Online Library
This study examined artificial neural networks'(ANNs) applicability in modeling optimum
insulation thickness (OIT), annual total net savings (ATS), and reduction of carbon dioxide …

A reliability-exploitation analysis of a static converter taking into account electromagnetic interference

J Paś, A Rosiński, K Białek - Transport and Telecommunication Journal, 2021 - sciendo.com
The paper presents issues associated with the impact of electromagnetic interference on
static converters, which exploitation in a railway transport environment. The measurements …

Initial performance assessment of the single-frequency (SF) service with the BeiDou satellite-based augmentation system (BDSBAS)

Z Hu, X Liu, G Wang, Q Zhang, R Zhou, L Chen… - GPS Solutions, 2023 - Springer
The BeiDou satellite-based augmentation system (BDSBAS) is expected to provide single-
frequency (SF) service through B1C signals for users in Chinese mainland and the …