Tootfinder

Star Wars: Wo man keinen Alarm auslöst, wenn man Droiden zerstört.
#andor #disney #starwars

Anzahl der #Windkraftanlagen je #Bundesland in Deutschland mit Stand vom 19.07.2025.
Die "Ausschließliche Wirtschaftszone" bedeutet Offshore-Standort.
Der Datenbestand enthält ggf. unplausible Datensätze.
Anmerkung: Erster Versuch einer

Anzahl der neuen #Windkraftanlagen je #Bundesland in Deutschland im Jahr 2025 mit Stand vom 19.07.2025.
Die "Ausschließliche Wirtschaftszone" bedeutet Offshore-Standort.
Der Datenbestand enthält ggf. unplausible Datensätze.
Anmerkung: Erster Versuch einer

Real-Time Agile Software Management for Edge and Fog Computing Based Smart City Infrastructure
Debasish Jana, Pinakpani Pal, Pawan Kumar
https://arxiv.org/abs/2506.12616

Real-Time Agile Software Management for Edge and Fog Computing Based Smart City Infrastructure
The evolution of smart cities demands scalable, secure, and energy-efficient architectures for real-time data processing. With the number of IoT devices expected to exceed 40 billion by 2030, traditional cloud-based systems are increasingly constrained by bandwidth, latency, and energy limitations. This paper leverages the ROOF (Real-time Onsite Operations Facilitation) framework with decentralized computing at intermediary fog and peripheral edge network layers to reduce latency by processing …

Observer Switching Strategy for Enhanced State Estimation in CSTR Networks
Lisbel B\'arzaga-Martell, Francisco Ib\'a\~nez, Angel L. Cede\~no, Maria Coronel, Francisco Concha, Norelys Aguila-Camacho, Jos\'e Ricardo P\'erez-Correa
https://arxiv.org/abs/2506.13878

Observer Switching Strategy for Enhanced State Estimation in CSTR Networks
Accurate state estimation is essential for monitoring and controlling nonlinear chemical reactors, such as continuous stirred-tank reactors (CSTRs), where limited sensor coverage and process uncertainties hinder real-time observability. This paper introduces a novel multi-observer switching framework that combines several advanced estimators: Extended Luenberger Observer (ELO), Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), Quadrature Kalman Filter (QKF), and Particle Filter (PF),…

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 …

Scheduling Agile Earth Observation Satellites with Onboard Processing and Real-Time Monitoring
Antonio M. Mercado-Mart\'inez, Beatriz Soret, Antonio Jurado-Navas
https://arxiv.org/abs/2506.11556

Scheduling Agile Earth Observation Satellites with Onboard Processing and Real-Time Monitoring
The emergence of Agile Earth Observation Satellites (AEOSs) has marked a significant turning point in the field of Earth Observation (EO), offering enhanced flexibility in data acquisition. Concurrently, advancements in onboard satellite computing and communication technologies have greatly enhanced data compression efficiency, reducing network latency and congestion while supporting near real-time information delivery. In this paper, we address the Agile Earth Observation Satellite Scheduling …

Capsule-ConvKAN: A Hybrid Neural Approach to Medical Image Classification
Laura Pitukov\'a, Peter Sin\v{c}\'ak, L\'aszl\'o J\'ozsef Kov\'acs
https://arxiv.org/abs/2507.06417

Capsule-ConvKAN: A Hybrid Neural Approach to Medical Image Classification
This study conducts a comprehensive comparison of four neural network architectures: Convolutional Neural Network, Capsule Network, Convolutional Kolmogorov--Arnold Network, and the newly proposed Capsule--Convolutional Kolmogorov--Arnold Network. The proposed Capsule-ConvKAN architecture combines the dynamic routing and spatial hierarchy capabilities of Capsule Network with the flexible and interpretable function approximation of Convolutional Kolmogorov--Arnold Networks. This novel hybrid mod…

Anzahl der #Windkraftanlagen je #Bundesland in Deutschland mit Stand vom 10.07.2025.
Die "Ausschließliche Wirtschaftszone" bedeutet Offshore-Standort.
Der Datenbestand enthält ggf. unplausible Datensätze.
Anmerkung: Erster Versuch einer

NASP: Network Slice as a Service Platform for 5G Networks
Felipe Hauschild Grings, Gustavo Zanatta Bruno, Lucio Rene Prade, Cristiano Bonato Both, Jos\'e Marcos Camara Brito
https://arxiv.org/abs/2505.24051

NASP: Network Slice as a Service Platform for 5G Networks
With 5G's rapid global uptake, demand for agile private networks has exploded. A defining beyond-5G capability is network slicing. 3GPP specifies three core slice categories, massive Machine-Type Communications (mMTC), enhanced Mobile Broadband (eMBB), and Ultra-Reliable Low-Latency Communications (URLLC), while ETSI's Zero-Touch Network and Service Management (ZSM) targets human-less operation. Yet existing documents do not spell out end-to-end (E2E) management spanning multiple domains and su…