People @ FH Burgenland
Not a member yet
2139 research outputs found
Sort by
AI in academia: An overview of selected tools and their areas of application
No full textAs a result of OpenAI's ChatGPT, there has been increasing interest in AI and web-based natural language processing (NLP), including in academia. In this article, we provide an overview of the tools that can be used for academic purposes. The overview was conducted from the perspective of a university educator and was intended to guide educators in higher education on emerging AI technologies. The tools discussed ranged from searching the literature and attributions to peer-reviewed articles, scientific writing, and academic writing and editing. The objective is to foster an informed approach to the integration of AI tools in academic settings, ensuring that educators are well-equipped to leverage these technologies to enhance the quality and output of academic work
Artificial Intelligence and Intellectual Property Law (Part 2): Legal Protection of Products and Outputs Generated by AI and ML Systems
No full textJuris (Germany
Arbeitsbedingte Belastungen im Generationenvergleich - Ansätze für das Betriebliche Gesundheitsmanagement
No full textVortragFH St. Pölte
Wer bist du, KI? Philosophische Annäherungen an unser menschliches Selbstverständnis
No full textMasterstudiengang Cloud Computing Engineerin
Carbon footprints of large compression chillers for district cooling – accounting for temporal resolution of the electricity supply
No full textCompression chillers are a common technology used in district cooling networks, with fluctuating cooling loads and consuming different electricity mixes at different times. This work aims to study these effects on the CFs of operating three compression chillers in a district cooling plant in Austria, using LCA-based CF modelling. Electricity consumption dominates the chillers’ CFs. While using the annual average electricity mix overestimated the CF for two warm-season and mixed-season chillers by 12% and 1%, respectively, it underestimated the CF for a mainly cold season chiller by 6%. Seasonal changes in electricity mixes and cooling loads were well suited to explain the calculated CF deviations and should be accounted for in carbon footprints dominated by renewables-rich electricity consumption
