Zobrazeno 1 - 10
of 12 086
pro vyhledávání: '"Lakatos A"'
Autor:
Rácz, R., Kovács, S. T. S., Lakatos, G., Rahul, K. K., Mifsud, D. V., Herczku, P., Sulik, B., Juhász, Z., Perduk, Z., Ioppolo, S., Mason, N. J., Field, T. A., Biri, S., McCullough, R. W.
Publikováno v:
Rev. Sci. Instrum. (2024) 95, 095105
The detection of various molecular species, including complex organic molecules relevant to biochemical and geochemical processes, in astronomical settings such as the interstellar medium or the outer Solar System has led to the increased need for a
Externí odkaz:
http://arxiv.org/abs/2411.11765
Autor:
Baran, Sándor, Marín, Julio C., Cuevas, Omar, Díaz, Mailiu, Szabó, Marianna, Nicolis, Orietta, Lakatos, Mária
By the end of 2023, renewable sources cover 63.4% of the total electric power demand of Chile, and in line with the global trend, photovoltaic (PV) power shows the most dynamic increase. Although Chile's Atacama Desert is considered the sunniest plac
Externí odkaz:
http://arxiv.org/abs/2411.11073
Autor:
Lakatos, Mária, Baran, Sándor
In our contemporary era, meteorological weather forecasts increasingly incorporate ensemble predictions of visibility - a parameter of great importance in aviation, maritime navigation, and air quality assessment, with direct implications for public
Externí odkaz:
http://arxiv.org/abs/2406.14159
The use of assistive robots in domestic environments can raise significant ethical concerns, from the risk of individual ethical harm to wider societal ethical impacts including culture flattening and compromise of human dignity. It is therefore esse
Externí odkaz:
http://arxiv.org/abs/2406.09239
Autor:
Lakatos Artur
Publikováno v:
Acta Universitatis Sapientiae: Economics and Business, Vol 8, Iss 1, Pp 79-82 (2020)
Externí odkaz:
https://doaj.org/article/9e6c308f10c6436cba553898e3d0b0db
Training summarization models requires substantial amounts of training data. However for less resourceful languages like Hungarian, openly available models and datasets are notably scarce. To address this gap our paper introduces HunSum-2 an open-sou
Externí odkaz:
http://arxiv.org/abs/2404.03555
The development of generative large language models (G-LLM) opened up new opportunities for the development of new types of knowledge-based systems similar to ChatGPT, Bing, or Gemini. Fine-tuning (FN) and Retrieval-Augmented Generation (RAG) are the
Externí odkaz:
http://arxiv.org/abs/2403.09727
Autor:
Baran, Sándor, Lakatos, Mária
Publikováno v:
Weather and Forecasting 39 (2024), no 11, 1591-1604
Since the start of the operational use of ensemble prediction systems, ensemble-based probabilistic forecasting has become the most advanced approach in weather prediction. However, despite the persistent development of the last three decades, ensemb
Externí odkaz:
http://arxiv.org/abs/2401.14393
Autor:
Lakatos, Robert, Bogacsovics, Gergo, Harangi, Balazs, Lakatos, Istvan, Tiba, Attila, Toth, Janos, Szabo, Marianna, Hajdu, Andras
The efficiency of natural language processing has improved dramatically with the advent of machine learning models, particularly neural network-based solutions. However, some tasks are still challenging, especially when considering specific domains.
Externí odkaz:
http://arxiv.org/abs/2306.07786
This workshop focused on identifying the challenges and dynamics between people and robots to foster short interactions and long-lasting relationships in different fields, from educational, service, collaborative, companion, care-home and medical rob
Externí odkaz:
http://arxiv.org/abs/2311.05401