Zobrazeno 1 - 10
of 7 889
pro vyhledávání: '"Endler"'
Anhand einer Fallstudie wird die Arbeit mit dem von der Freiberg Institut für Energie und Klimaökonomie GmbH erschaffenen H2-Tankstellen-Konfigurators dargestellt. Durch die Variation der Wasserstoffversorgung einer fiktiv geplanten H2-Tankstelle w
Company fundamentals are key to assessing companies' financial and overall success and stability. Forecasting them is important in multiple fields, including investing and econometrics. While statistical and contemporary machine learning methods have
Externí odkaz:
http://arxiv.org/abs/2411.05791
Autor:
Etti, Melanie, Alger, Jackeline, Salas, Sofia P., Saggers, Robin, Ramdin, Tanusha, Endler, Margit, Gemzell-Danielsson, Kristina, Alfven, Tobias, Ahmed, Yusuf, Callejas, Allison, Eskenazi, Deborah, Khalil, Asma, Le Doare, Kirsty
Publikováno v:
Universidad Peruana de Ciencias Aplicadas (UPC)Repositorio Academico - UPCPLoS ONE.
Background The World Health Organization's "Coordinated Global Research Roadmap: 2019 Novel Coronavirus"outlined the need for research that focuses on the impact of COVID-19 on pregnant women and children. More than one year after the first reported
Externí odkaz:
http://hdl.handle.net/10757/658463
In the research on FANETs (Flying Ad-Hoc Networks) and distributed coordination of UAVs (Unmanned Aerial Vehicles), also known as drones, there are many studies that validate their proposals through simulations. Simulations are important, but beyond
Externí odkaz:
http://arxiv.org/abs/2404.00113
Context: Machine Learning Operations (MLOps) has emerged as a set of practices that combines development, testing, and operations to deploy and maintain machine learning applications. Objective: In this paper, we assess the benefits and limitations o
Externí odkaz:
http://arxiv.org/abs/2403.13115
This work discusses the benefits of having multiple simulated environments with different degrees of realism for the development of algorithms in scenarios populated by autonomous nodes capable of communication and mobility. This approach aids the de
Externí odkaz:
http://arxiv.org/abs/2403.12753
Autor:
Qiao, Zhijie, Zhou, Mingyan, Zhuang, Zhijun, Agarwal, Tejas, Jahncke, Felix, Wang, Po-Jen, Friedman, Jason, Lai, Hongyi, Sahu, Divyanshu, Nagy, Tomáš, Endler, Martin, Schlessman, Jason, Mangharam, Rahul
When academic researchers develop and validate autonomous driving algorithms, there is a challenge in balancing high-performance capabilities with the cost and complexity of the vehicle platform. Much of today's research on autonomous vehicles (AV) i
Externí odkaz:
http://arxiv.org/abs/2312.00951