RTK-GNSS (Real Time Kinematic - Global Navigation Satellite System) is based on a ‘rover’ GNSS antenna that receives error correction information from a ‘base’ GNSS antenna. While the rover can be placed on a robot to move around, the base station has the additional ‘knowledge’ of being stationary. …

Designing lead-free piezoelectric ceramics with tailored electrical properties remains a critical challenge for various applications. In this paper we present a novel methodology integrating Machine Learning (ML) and optimization procedures to fine-tune electrical properties in lead-free (1-x) Na0.5 …

Purpose This study aims to critically evaluate the competitiveness of Transformer-based models in financial forecasting, specifically in the context of stock realized volatility forecasting. It seeks to challenge and extend upon the assertions of Zeng et al. (2023) regarding the purported limitations …

This study proposes a novel loss function for neural network models that explores the topological structure of stock realized volatility (RV) data by adding Wasserstein Distance (WD). The study shows that the proposed loss statistically significantly improves the forecast accuracy of neural network models …

The effect of error augmentation on upper extremity motor performance in patients with chronic stroke.

The effect of error augmentation on upper extremity motor performance in patients with chronic stroke.

This paper investigates the application of neural basis expansion analysis with exogenous variables (NBEATSx) in the prediction of daily stock realized volatility for various time steps. It compares NBEATSx’s forecasting accuracy and robustness with several commonly used models, namely Long-Short Term …

Accurate localization in autonomous robots enables effective decision-making within their operating environment. Various methods have been developed to address this challenge, encompassing traditional techniques, fiducial marker utilization, and machine learning approaches. This work proposes a deep-learning …

Inleiding Dit onderzoek is uitgevoerd binnen zorgorganisatie Argos Zorggroep, verpleeghuis De Es. De opdrachtgever van dit onderzoek, de ergotherapeut binnen verpleeghuis De Es, signaleert dat ouderen met dementie geen autonomie hebben bij het uitvoeren van dagelijkse activiteiten binnen en buiten het …

Background: Advanced statistical modeling techniques may help predict health outcomes. However, it is not the case that these modeling techniques always outperform traditional techniques such as regression techniques. In this study, external validation was carried out for five modeling strategies for …