Tootfinder

An Efficient Intrusion Detection System for Safeguarding Radiation Detection Systems
Nathanael Coolidge, Jaime Gonz\'alez Sanz, Li Yang, Khalil El Khatib, Glenn Harvel, Nelson Agbemava, I Putu Susila, Mehmet Yavuz Yagci
https://arxiv.org/abs/2509.01599

An Efficient Intrusion Detection System for Safeguarding Radiation Detection Systems
Radiation Detection Systems (RDSs) are used to measure and detect abnormal levels of radioactive material in the environment. These systems are used in many applications to mitigate threats posed by high levels of radioactive material. However, these systems lack protection against malicious external attacks to modify the data. The novelty of applying Intrusion Detection Systems (IDS) in RDSs is a crucial element in safeguarding these critical infrastructures. While IDSs are widely used in netw…

Multi-Lingual Implicit Discourse Relation Recognition with Multi-Label Hierarchical Learning
Nelson Filipe Costa, Leila Kosseim
https://arxiv.org/abs/2508.20712 https://

Multi-Lingual Implicit Discourse Relation Recognition with Multi-Label Hierarchical Learning
This paper introduces the first multi-lingual and multi-label classification model for implicit discourse relation recognition (IDRR). Our model, HArch, is evaluated on the recently released DiscoGeM 2.0 corpus and leverages hierarchical dependencies between discourse senses to predict probability distributions across all three sense levels in the PDTB 3.0 framework. We compare several pre-trained encoder backbones and find that RoBERTa-HArch achieves the best performance in English, while XLM-…

Noise-Resilient Spatial Search with Lackadaisical Quantum Walks
Gabriel M. O. Vieira, Nelson Maculan, Franklin de L. Marquezino
https://arxiv.org/abs/2508.13462 https://

Noise-Resilient Spatial Search with Lackadaisical Quantum Walks
Quantum walks are a powerful framework for the development of quantum algorithms, with lackadaisical quantum walks (LQWs) standing out as an efficient model for spatial search. In this work, we investigate how broken-link decoherence affects the performance of LQW-based search on a two-dimensional toroidal grid. We show through numerical simulations that, while decoherence drives the loopless walk toward a uniform distribution and eliminates its search capability, the inclusion of self-loops si…

Topology-Aware Volume Fusion for Spectral Computed Tomography via Histograms and Extremum Graph
Mohit Sharma, Emma Nilsson, Martin Falk, Talha Bin Masood, Lee Jollans, Anders Persson, Tino Ebbers, Ingrid Hotz
https://arxiv.org/abs/2508.14719

Topology-Aware Volume Fusion for Spectral Computed Tomography via Histograms and Extremum Graph
Photon-Counting Computed Tomography (PCCT) is a novel imaging modality that simultaneously acquires volumetric data at multiple X-ray energy levels, generating separate volumes that capture energy-dependent attenuation properties. Attenuation refers to the reduction in X-ray intensity as it passes through different tissues or materials. This spectral information enhances tissue and material differentiation, enabling more accurate diagnosis and analysis. However, the resulting multivolume datase…