Zobrazeno 1 - 10
of 11 754
pro vyhledávání: '"Grosu A."'
Recent advances in reinforcement learning have demonstrated the potential of quantum learning models based on parametrized quantum circuits as an alternative to deep learning models. On the one hand, these findings have shown the ultimate exponential
Externí odkaz:
http://arxiv.org/abs/2412.08725
The exponential growth of IoT networks necessitates a paradigm shift towards architectures that offer high flexibility and learning capabilities while maintaining low energy consumption, minimal communication overhead, and low latency. Traditional Io
Externí odkaz:
http://arxiv.org/abs/2410.19562
Reinforcement learning algorithms for mean-field games offer a scalable framework for optimizing policies in large populations of interacting agents. Existing methods often depend on online interactions or access to system dynamics, limiting their pr
Externí odkaz:
http://arxiv.org/abs/2410.17898
Autor:
Chan, Yute, Grosu, Cristina, Kick, Matthias, Jakes, Peter, Seidlmayer, Stefan, Gigl, Thomas, Egger, Werner, Eichel, Ruediger-A., Granwehr, Josef, Hugenschmidt, Christoph, Scheurer, Christoph
The spinel Li4Ti5O12 (LTO) has emerged as a promising anode material for the next generation of all-solid-state Li-ion batteries (ASSB), primarily due to its characteristic "zero strain" charge/discharge behavior and exceptional cycling stability, wh
Externí odkaz:
http://arxiv.org/abs/2410.02535
Autor:
Bhandary, Shrajan, Kuhn, Dejan, Babaiee, Zahra, Fechter, Tobias, Spohn, Simon K. B., Zamboglou, Constantinos, Grosu, Anca-Ligia, Grosu, Radu
Accurate segmentation of prostate tumours from PET images presents a formidable challenge in medical image analysis. Despite considerable work and improvement in delineating organs from CT and MR modalities, the existing standards do not transfer wel
Externí odkaz:
http://arxiv.org/abs/2407.10537
Dynamic Vision Sensors (DVS), offer a unique advantage in control applications, due to their high temporal resolution, and asynchronous event-based data. Still, their adoption in machine learning algorithms remains limited. To address this gap, and p
Externí odkaz:
http://arxiv.org/abs/2409.18038
We analyzed the Hartree-Fock approximation for an electron system. The interaction between particles is modeled by a non-Coulombian potential. We analyzed both the three-dimensional and two-dimensional systems. We obtained accurate analytical results
Externí odkaz:
http://arxiv.org/abs/2408.14967
Autor:
Lygizou, Elpiniki Maria, Reiter, Michael, Maurer-Granofszky, Margarita, Dworzak, Michael, Grosu, Radu
Acute Leukemia is the most common hematologic malignancy in children and adolescents. A key methodology in the diagnostic evaluation of this malignancy is immunophenotyping based on Multiparameter Flow Cytometry (FCM). However, this approach is manua
Externí odkaz:
http://arxiv.org/abs/2406.18309
Autor:
Hartong, Nanna E., Sachpazidis, Ilias, Blanck, Oliver, Etzel, Lucas, Peeken, Jan C., Combs, Stephanie E., Urbach, Horst, Zaitsev, Maxim, Baltas, Dimos, Popp, Ilinca, Grosu, Anca-Ligia, Fechter, Tobias
Background: The aim of this study was to investigate the role of clinical, dosimetric and pretherapeutic magnetic resonance imaging (MRI) features for lesion-specific outcome prediction of stereotactic radiotherapy (SRT) in patients with brain metast
Externí odkaz:
http://arxiv.org/abs/2405.20825
The automated generation of diverse and complex training scenarios has been an important ingredient in many complex learning tasks. Especially in real-world application domains, such as autonomous driving, auto-curriculum generation is considered vit
Externí odkaz:
http://arxiv.org/abs/2403.17805