Tootfinder

Angriffe im Stadtpark - Polizei sucht jetzt dieses „lustige“ Räuber-Duo #News #Nachrichten

Der nächste Termin unserer Reihe „Juniorteams laden ein“ steht an!
Dieses Mal ist Lisa Steffney von equaletics e.V. einladen. Der Verein setzt sich für Chancengerechtigkeit im Sport ein. Lisa berichtet darüber, wie Chancengleichheit im Ehrenamt möglich ist.
Anmeldung über den Link: https://forms.office.com/e/56ESm90ZH5

Hamilton-Jacobi Reachability for Viability Analysis of Constrained Waste-to-Energy Systems under Adversarial Uncertainty
Achraf Bouhmady, Othman Cherkaoui Dekkaki
https://arxiv.org/abs/2510.11396

Hamilton-Jacobi Reachability for Viability Analysis of Constrained Waste-to-Energy Systems under Adversarial Uncertainty
This paper investigates the problem of maintaining the safe operation of Waste-to-Energy (WtE) systems under operational constraints and uncertain waste inflows. We model this as a robust viability problem, formulated as a zero-sum differential game between a control policy and an adversarial disturbance. Within a Hamilton-Jacobi framework, the viability kernel is characterized as the zero sublevel set of a value function satisfying a constrained Hamilton-Jacobi-Bellman (HJB) equation in the vi…

Mitigating Increase-Decrease Gaming with Alternative Connection Agreements: A Defender-Attacker-Defender Game
Bart van der Holst, Thomas Swarts, Phuong Nguyen, Johan Morren, Koen Kok
https://arxiv.org/abs/2510.07102

Mitigating Increase-Decrease Gaming with Alternative Connection Agreements: A Defender-Attacker-Defender Game
Redispatch markets are widely used by system operators to manage network congestion. A well-known drawback, however, is that Flexibility Service Providers (FSPs) may strategically adjust their baselines in anticipation of redispatch actions, thereby aggravating congestion and raising system costs. To address this increase-decrease gaming, Distribution System Operators (DSOs) could use Alternative Connection Agreements (ACAs) to conditionally limit the available connection capacity of market par…

Identifying Memory Effects in Epidemics via a Fractional SEIRD Model and Physics-Informed Neural Networks
Achraf Zinihi
https://arxiv.org/abs/2509.22760 https://

Identifying Memory Effects in Epidemics via a Fractional SEIRD Model and Physics-Informed Neural Networks
We develop a physics-informed neural network (PINN) framework for parameter estimation in fractional-order SEIRD epidemic models. By embedding the Caputo fractional derivative into the network residuals via the L1 discretization scheme, our method simultaneously reconstructs epidemic trajectories and infers both epidemiological parameters and the fractional memory order $α$. The fractional formulation extends classical integer-order models by capturing long-range memory effects in disease prog…