Tootfinder

Die Stadtbibliothek Bremerhaven lädt gemeinsam mit der Jugendgruppe „Würfelhusten“ zu einem besonderen Pen-and-Paper-Event für Freitag, den 28. November 2025, um 16.00 Uhr ein
https://www.bremerhaven.de/de/aktuelles/fantasy-ab…

Viel Lektüre für den 30. November #schweiz #demokratie

Evaluating Fundus-Specific Foundation Models for Diabetic Macular Edema Detection
Franco Javier Arellano, Jos\'e Ignacio Orlando
https://arxiv.org/abs/2510.07277 https://

Evaluating Fundus-Specific Foundation Models for Diabetic Macular Edema Detection
Diabetic Macular Edema (DME) is a leading cause of vision loss among patients with Diabetic Retinopathy (DR). While deep learning has shown promising results for automatically detecting this condition from fundus images, its application remains challenging due the limited availability of annotated data. Foundation Models (FM) have emerged as an alternative solution. However, it is unclear if they can cope with DME detection in particular. In this paper, we systematically compare different FM an…

Axion Perturbations: A General Analytical Treatment
Itamar J. Allali, Priyesh Chakraborty, JiJi Fan, Matthew Reece
https://arxiv.org/abs/2510.07371 https://

Axion Perturbations: A General Analytical Treatment
Cosmological data provides us two key constraints on dark matter (DM): it must have a particular abundance, and it must have an adiabatic spectrum of density perturbations in the early universe. Many different cosmological scenarios have been proposed that establish the abundance of axion DM in qualitatively different ways. In this paper we emphasize that, despite this variety of backgrounds, the perturbations in axion DM can be understood from universal principles. How does a feebly interactin…

Wideband dynamic metasurface antenna performance with practical design characteristics
Joseph M. Carlson, Nitish V. Deshpande, Miguel Rodrigo Castellanos, Robert W. Heath Jr
https://arxiv.org/abs/2510.07827

Wideband dynamic metasurface antenna performance with practical design characteristics
Dynamic metasurface antennas (DMA) provide low-power beamforming through reconfigurable radiative slots. Each slot has a tunable component that consumes low power compared to typical analog components like phase shifters. This makes DMAs a potential candidate to minimize the power consumption of multiple-input multiple-output (MIMO) antenna arrays. In this paper, we investigate the use of DMAs in a wideband communication setting with practical DMA design characteristics. We develop approximatio…

CRACI: A Cloud-Native Reference Architecture for the Industrial Compute Continuum
Hai Dinh-Tuan
https://arxiv.org/abs/2509.07498 https://arxiv.org/pdf/2509…

CRACI: A Cloud-Native Reference Architecture for the Industrial Compute Continuum
The convergence of Information Technology (IT) and Operational Technology (OT) in Industry 4.0 exposes the limitations of traditional, hierarchical architectures like ISA-95 and RAMI 4.0. Their inherent rigidity, data silos, and lack of support for cloud-native technologies impair the development of scalable and interoperable industrial systems. This paper addresses this issue by introducing CRACI, a Cloud-native Reference Architecture for the Industrial Compute Continuum. Among other features,…

TransMPC: Transformer-based Explicit MPC with Variable Prediction Horizon
Sichao Wu, Jiang Wu, Xingyu Cao, Fawang Zhang, Guangyuan Yu, Junjie Zhao, Yue Qu, Fei Ma, Jingliang Duan
https://arxiv.org/abs/2509.07381

TransMPC: Transformer-based Explicit MPC with Variable Prediction Horizon
Traditional online Model Predictive Control (MPC) methods often suffer from excessive computational complexity, limiting their practical deployment. Explicit MPC mitigates online computational load by pre-computing control policies offline; however, existing explicit MPC methods typically rely on simplified system dynamics and cost functions, restricting their accuracy for complex systems. This paper proposes TransMPC, a novel Transformer-based explicit MPC algorithm capable of generating highl…

Enhanced cast-128 with adaptive s-box optimization via neural networks for image protection
Fadhil Abbas Fadhil, Maryam Mahdi Alhusseini, Mohammad-Reza Feizi-Derakhshi
https://arxiv.org/abs/2509.07606 …

Enhanced cast-128 with adaptive s-box optimization via neural networks for image protection
An improved CAST-128 encryption algorithm, which is done by implementing chaos-based adaptive S-box generation using Logistic sine Map (LSM), has been provided in this paper because of the increasing requirements of efficient and smart image encryption mechanisms. The study aims to address the drawbacks of static S-box models commonly used in traditional cryptographic systems, which are susceptible to linear and differential attacks. In the proposed scheme, the dynamic, non-linear, invertible, …

Asking For It: Question-Answering for Predicting Rule Infractions in Online Content Moderation
Mattia Samory, Diana Pamfile, Andrew To, Shruti Phadke
https://arxiv.org/abs/2510.06350

Asking For It: Question-Answering for Predicting Rule Infractions in Online Content Moderation
Online communities rely on a mix of platform policies and community-authored rules to define acceptable behavior and maintain order. However, these rules vary widely across communities, evolve over time, and are enforced inconsistently, posing challenges for transparency, governance, and automation. In this paper, we model the relationship between rules and their enforcement at scale, introducing ModQ, a novel question-answering framework for rule-sensitive content moderation. Unlike prior clas…

Feature Space Analysis by Guided Diffusion Model
Kimiaki Shirahama, Miki Yanobu, Kaduki Yamashita, Miho Ohsaki
https://arxiv.org/abs/2509.07936 https://arx…

Feature Space Analysis by Guided Diffusion Model
One of the key issues in Deep Neural Networks (DNNs) is the black-box nature of their internal feature extraction process. Targeting vision-related domains, this paper focuses on analysing the feature space of a DNN by proposing a decoder that can generate images whose features are guaranteed to closely match a user-specified feature. Owing to this guarantee that is missed in past studies, our decoder allows us to evidence which of various attributes in an image are encoded into a feature by th…