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 …

This document, also referred to as Justification Logfile aims to present the research process on the topic of attracting and recruiting Generation Z at DSK Bank. The Justification Logfile consists of an introduction with a company and problem analysis, followed by thorough explanation on the research …

Workshop Machine Learning for Kids at the NLAIC conference

Sessie: Hoe draagt de professional doctorate bij aan brede welvaart?Sprekers/ deelnemers:Agustin Martinez Caram PD-kandidaat Kunst + Creatief - een artistiek onderzoek met als doel gezonde leefgewoonten te bevorderen door middel van een nieuwe media-kunstinterventiesJos Sanders lector human capital innovations, …

In this paper, we present a digital tool named Diversity Perspectives in Social Media (DivPSM) which conducts automated content analysis of strategic diversity communication in organizational social media posts, using supervised machine-learning. DivPSM is trained to identify whether a post makes mention …

There is an urgent need to engage with deep leverage points in sustainability transformations—fundamental myths, paradigms, and systems of meaning making—to open new collective horizons for action. Art and creative practice are uniquely suited to help facilitate change in these deeper transformational …

Zelfrijdende auto’s, kankerdiagnostiek of een bachelorscriptie geschreven met behulp van chatbot Chat GPT. Kunstmatige intelligentie wordt op alle denkbare manieren ingezet. De mogelijkheden zijn spectaculair en lijken eindeloos, maar is AI overal beter in? Wat kan kunstmatige intelligentie al, en wat …

Physical activity is crucial in human life, whether in everyday activities or elite sports. It is important to maintain or improve physical performance, which depends on various factors such as the amount of physical activity, the capability, and the capacity of the individual. In daily life, it is significant …

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 …