Zobrazeno 1 - 10
of 215 160
pro vyhledávání: '"Machine Learning approach"'
Autor:
Cao, Han, Anguita, Augusto, Warembourg, Charline, Escriba-Montagut, Xavier, Vrijheid, Martine, Gonzalez, Juan R., Cadman, Tim, Schneider-Lindner, Verena, Durstewitz, Daniel, Basagana, Xavier, Schwarz, Emanuel
Machine learning has been widely adopted in biomedical research, fueled by the increasing availability of data. However, integrating datasets across institutions is challenging due to legal restrictions and data governance complexities. Federated lea
Externí odkaz:
http://arxiv.org/abs/2412.07991
Quantum circuit mapping is a critical process in quantum computing that involves adapting logical quantum circuits to adhere to hardware constraints, thereby generating physically executable quantum circuits. Current quantum circuit mapping technique
Externí odkaz:
http://arxiv.org/abs/2412.03249
In this study, the novel hybrid machine learning approach is proposed in carbon price fluctuation prediction. Specifically, a research framework integrating DILATED Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) neural network
Externí odkaz:
http://arxiv.org/abs/2411.02709
Autor:
Shang, D. W.
Due to the impact of the COVID-19 pandemic, new attractions ways are tended to be adapted by compelling sites to provide tours product and services, such as virtual reality (VR) to visitors. Based on a systematic human-computer interaction (HCI) user
Externí odkaz:
http://arxiv.org/abs/2410.12223
In this work, we propose a machine learning approach to address one aspect of the quantum marginal problem: finding a global density matrix compatible with a given set of quantum marginals. Our method involves combining a quantum marginal imposition
Externí odkaz:
http://arxiv.org/abs/2410.11145
MIMO systems can simultaneously transmit multiple data streams within the same frequency band, thus exploiting the spatial dimension to enhance performance. MIMO detection poses considerable challenges due to the interference and noise introduced by
Externí odkaz:
http://arxiv.org/abs/2412.09068
Autor:
Bartz-Beielstein, Thomas, Wellendorf, Axel, Pütz, Noah, Brandt, Jens, Hinterleitner, Alexander, Schulz, Richard, Scholz, Richard, Mersmann, Olaf, Knabe, Robin
The increasing shortage of nursing staff and the acute risk of falls in nursing homes pose significant challenges for the healthcare system. This study presents the development of an automated fall detection system integrated into care beds, aimed at
Externí odkaz:
http://arxiv.org/abs/2412.04950
Numerical N-body simulations are commonly used to explore stability regions around exoplanets, offering insights into the possible existence of satellites and ring systems. This study aims to utilize Machine Learning (ML) techniques to generate predi
Externí odkaz:
http://arxiv.org/abs/2412.04568
Background: Liver diseases are a major global health concern, often diagnosed using resource-intensive methods. Electrocardiogram (ECG) data, widely accessible and non-invasive, offers potential as a diagnostic tool for liver diseases, leveraging the
Externí odkaz:
http://arxiv.org/abs/2412.03717
Publikováno v:
Entropy 2024, 26, 955
The identification of key nodes in complex networks is an important topic in many network science areas. It is vital to a variety of real-world applications, including viral marketing, epidemic spreading and influence maximization. In recent years, m
Externí odkaz:
http://arxiv.org/abs/2412.01949