Tootfinder

Heute ist die letzte Gelegenheit vor der entscheidenden Sitzung einem CDU-#Staddrat der Wahl zu sagen, was ihr von einer vierstreifigen #Carolabrücke haltet.
Hier die Termine:

Online-Optimized Gated Radial Basis Function Neural Network-Based Adaptive Control
Mingcong Li
https://arxiv.org/abs/2506.13168 https://

Online-Optimized Gated Radial Basis Function Neural Network-Based Adaptive Control
Real-time adaptive control of nonlinear systems with unknown dynamics and time-varying disturbances demands precise modeling and robust parameter adaptation. While existing neural network-based strategies struggle with computational inefficiency or inadequate temporal dependencies, this study proposes a hybrid control framework integrating a Temporal-Gated Radial Basis Function (TGRBF) network with a nonlinear robust controller. The TGRBF synergizes radial basis function neural networks (RBFNNs…

The Role of Connection Density in an Adaptive Network with Chaotic Units
Ramiro Pl\"uss, Pablo Mart\'in Gleiser
https://arxiv.org/abs/2505.11437 h…

The Role of Connection Density in an Adaptive Network with Chaotic Units
We investigate the role of connection density in an adaptive network model of chaotic units that dynamically rewire based on their internal states and local coherence. By systematically varying the network's connectivity density, we uncover distinct dynamical regimes and structural transitions, revealing mechanisms of spontaneous modularity, dynamical segregation, and integration. We find that at higher densities, the network exhibits both local clustering and global synchrony. Additionally, we…

Heute ist die letzte Gelegenheit vor der entscheidenden Sitzung einem CDU-#Staddrat der Wahl zu sagen, was ihr von einer vierstreifigen #Carolabrücke haltet.
Hier die Termine:

Joint UAV Trajectory Planning and LEO Satellite Selection for Data Offloading in Space-Air-Ground Integrated Networks
Boran Wang, Ziye Jia, Can Cui, Qihui Wu
https://arxiv.org/abs/2506.12750

Joint UAV Trajectory Planning and LEO Satellite Selection for Data Offloading in Space-Air-Ground Integrated Networks
With the development of low earth orbit (LEO) satellites and unmanned aerial vehicles (UAVs), the space-air-ground integrated network (SAGIN) becomes a major trend in the next-generation networks. However, due to the instability of heterogeneous communication and time-varying characteristics of SAGIN, it is challenging to meet the remote Internet of Things (IoT) demands for data collection and offloading. In this paper, we investigate a two-phase hierarchical data uplink model in SAGIN. Specifi…

🔬 3D-Computersimulationen von Proteinen
Beobachtet live in 100-millionenfacher Vergrößerung die Nanomaschinen der Zelle, wie sie arbeiten und wie sie unseren Blutdruck regulieren.
⏲ Uhrzeit: 17:00 - 24:00 Uhr
🗓️ Datum: 21.06.2025
🧑‍🔬 Veranstalter: Max-Planck-Institut für Multidisziplinäre Naturwissenschaften
📍 Veranstaltungsort: @…

General-relativistic magnetar magnetospheres in 3D with physics-informed neural networks
Petros Stefanou, Arthur G. Suvorov, Jose A. Pons
https://arxiv.org/abs/2506.13519

General-relativistic magnetar magnetospheres in 3D with physics-informed neural networks
Magnetar phenomena are likely intertwined with the location and structure of magnetospheric currents. While general-relativistic effects may be important in shaping the force-free equilibria describing static configurations, most studies have been restricted to axial symmetry. Using a novel methodology based on physics-informed neural networks, fully three-dimensional configurations of varying stellar compactness are constructed. Realistic profiles for surface currents, qualitatively capturing …

Joint Optimization of Multi-UAV Deployment and 3D Positioning in Traffic-Aware Aerial Networks
Kamran Shafafi, Alaa Awad Abdellatif, Manuel Ricardo, Rui Campos
https://arxiv.org/abs/2506.13287

Joint Optimization of Multi-UAV Deployment and 3D Positioning in Traffic-Aware Aerial Networks
Unmanned Aerial Vehicles (UAVs) have emerged as a key enabler for next-generation wireless networks due to their on-demand deployment, high mobility, and ability to provide Line-of-Sight (LoS) connectivity. These features make UAVs particularly well-suited for dynamic and mission-critical applications such as intelligent transportation systems and emergency communications. However, effectively positioning multiple UAVs in real-time to meet non-uniform, time-varying traffic demands remains a sig…

A Silent Speech Decoding System from EEG and EMG with Heterogenous Electrode Configurations
Masakazu Inoue, Motoshige Sato, Kenichi Tomeoka, Nathania Nah, Eri Hatakeyama, Kai Arulkumaran, Ilya Horiguchi, Shuntaro Sasai
https://arxiv.org/abs/2506.13835

A Silent Speech Decoding System from EEG and EMG with Heterogenous Electrode Configurations
Silent speech decoding, which performs unvocalized human speech recognition from electroencephalography/electromyography (EEG/EMG), increases accessibility for speech-impaired humans. However, data collection is difficult and performed using varying experimental setups, making it nontrivial to collect a large, homogeneous dataset. In this study we introduce neural networks that can handle EEG/EMG with heterogeneous electrode placements and show strong performance in silent speech decoding via m…

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