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 …

This paper addresses the question: “What is the level of resistance against powdery mildews, Botrytis cinerea and Sclerotinia sclerotium in several Petunia (Petunia sp.) genotypes of unknown origin?”. It serves to enrich our understanding of fungal resistances in ornamental petunias and the availability …

Basic human rights, like freedom of expression, freedom of the press, and privacy, are being radically transformed by new technologies. The manifestation of these rights in online spaces is known as “digital rights,” which can be impeded or empowered through the design, governance, and litigation of …

This paper addresses an approach to teaching embedded systems programming through a challenge-based competition involving robots. This pedagogical project distinguishes itself by incorporating international students from three international institutions through the Blended Intensive Program (BIP). The …

Inleiding: De sociale afstandbeperkingen als gevolg van de COVID-19 pandemie hebben de leeromgeving van studenten veranderd en hun sociale interacties beperkt. Daarom was het doel van deze studie om de invloed van de sociale afstandsbeperkingen op de sociale netwerken, het welzijn en de academische prestaties …

The closing of schools and sports clubs during theCOVID-19 lockdown raised questions about thepossible impact on children’s motor skilldevelopment. Therefore we compared motorcompetence development over a one-year periodamong four different cohorts of primary schoolchildren. A total of 992 children from …

The use of machine learning in embedded systems is an interesting topic, especially with the growth in popularity of the Internet of Things (IoT). The capacity of a system, such as a robot, to self-localize, is a fundamental skill for its navigation and decision-making processes. This work focuses on …

Localization is a crucial skill in mobile robotics because the robot needs to make reasonable navigation decisions to complete its mission. Many approaches exist to implement localization, but artificial intelligence can be an interesting alternative to traditional localization techniques based on model …

Objectives The objective of this study is to better understand how the COVID-19 outbreak impacted the different domains of the palliative care approach to end-of-life care from the perspective of healthcare professionals (HCPs) from different professions, working in different settings during the first …

Scar contractures are a common complication after burn injuries. These contractures are characterized by impairment of joint mobility, leading to a risk for limitations during daily activities, and restrictions in participation in society. Qualifying its severity is not well established in burn care. …