9086 research outputs found
Sort by
Innovative Polierverfahren : Laserunterstützte Werkzeugstrukturierung für höchste Qualitätsansprüche
No full textDigital Applications for Mental Health : Use of a user-centered Design Process to develop an mHealth App for Aftercare of Eating Disorder Patients
Get PDF
Evaluation of Emotional Everyday Scenarios for the Development of a Digital Health Application
Get PDFSocial Connections between Large Language Model Agents : Testing LLM Agents in a Social Setting
No full textIn this study, we explore if large language models (LLMs) can apply the concept of personal closeness and use this to enhance communication between each other while using midrange personal computers. We test and modify the LLM “Llama 3” on commodity hardware to measure the level of interpersonal closeness between the different LLM’s characters. In particular, we show insights into the development of their connection. Results indicate that the scoring of one LLM agent could have an effect on each other's LLM agents’ scoring
Electrical impedance tomography guided positive end-expiratory pressure titration in critically ill and surgical adult patients : a systematic review and meta-analysis
Get PDFUsing Neural Networks with Linear Regression as a scalable model to predict the behaviour of pumps
No full textThis article presents a method for predicting the
behavior of external gear pumps using a neural network, to
optimize a higher-level dosing process. Sparse neural networks
learn to map the characteristic curves of fluid machinery. The
presented method achieves an error flow rate of approximately
3.28 milliliters per minute. The neural networks make it possible
to directly substitute the volume flow sensor in order to design
dosing applications without cost-intensive volume flow sensors.
However, due to the existing manufacturing tolerances of the
used pumps, the overall pump efficiency differs significantly.
For this reason, it is not directly possible to apply the networks
universally to an entire pump series, which strongly limits the
industrially scalable solution. For this reason, the algorithms are
extended by a linear regression model, which enables users to
calibrate the neural networks to the individual pumps based on
very few reference measurements
