Tootfinder

Soft Robotics-Inspired Flexible Antenna Arrays
Elio Faddoul, Andreas Nicolaides, Konstantinos Ntougias, Ioannis Krikidis
https://arxiv.org/abs/2507.06589 h…

Soft Robotics-Inspired Flexible Antenna Arrays
In this work, a novel soft continuum robot-inspired antenna array is proposed, featuring tentacle-like structures with multiple antenna elements. The proposed array achieves reconfigurability through continuous deformation of its geometry, in contrast to reconfigurable antennas which incur a per-element control. More specifically, the deformation is modeled by amplitude and spatial frequency parameters. We consider a multi-user multiple-input single-output downlink system, whereby the optimal d…

AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code
Nadeen Fathallah, Daniel Hern\'andez, Steffen Staab
https://arxiv.org/abs/2507.19549

AccessGuru: Leveraging LLMs to Detect and Correct Web Accessibility Violations in HTML Code
The vast majority of Web pages fail to comply with established Web accessibility guidelines, excluding a range of users with diverse abilities from interacting with their content. Making Web pages accessible to all users requires dedicated expertise and additional manual efforts from Web page providers. To lower their efforts and promote inclusiveness, we aim to automatically detect and correct Web accessibility violations in HTML code. While previous work has made progress in detecting certain…

Parametrized topological complexity of bundles of real projective spaces, I
Michael Farber, Amit Kumar Paul, Lucile Vandembroucq
https://arxiv.org/abs/2509.17839 https://…

Parametrized topological complexity of bundles of real projective spaces, I
Analysis of motion algorithms for autonomous systems operating under variable external conditions leads to the concept of parametrized topological complexity \cite{CFW}. In \cite{CFW}, \cite{CFW2} the parametrized topological complexity was computed in the case of the Fadell - Neuwirth bundle which is pertinent to algorithms of collision free motion of many autonomous systems in ${\Bbb R}^d$ avoiding collisions with multiple obstacles. The parametrized topological complexity of sphere bundles w…

Replaced article(s) found for nlin.CD. https://arxiv.org/list/nlin.CD/new
[1/1]:
- Integrability and Quantum Chaos in the Spectrum of Bell Operators
Albert Aloy, Guillem M\"uller-Rigat, Maciej Lewenstein, Jordi Tura, Matteo Fadel

Enhancing Privacy Preservation and Reducing Analysis Time with Federated Transfer Learning in Digital Twins-based Computed Tomography Scan Analysis
Avais Jan, Qasim Zia, Murray Patterson
https://arxiv.org/abs/2509.08018

Enhancing Privacy Preservation and Reducing Analysis Time with Federated Transfer Learning in Digital Twins-based Computed Tomography Scan Analysis
The application of Digital Twin (DT) technology and Federated Learning (FL) has great potential to change the field of biomedical image analysis, particularly for Computed Tomography (CT) scans. This paper presents Federated Transfer Learning (FTL) as a new Digital Twin-based CT scan analysis paradigm. FTL uses pre-trained models and knowledge transfer between peer nodes to solve problems such as data privacy, limited computing resources, and data heterogeneity. The proposed framework allows re…

ROVER: Robust Loop Closure Verification with Trajectory Prior in Repetitive Environments
Jingwen Yu, Jiayi Yang, Anjun Hu, Jiankun Wang, Ping Tan, Hong Zhang
https://arxiv.org/abs/2508.13488

ROVER: Robust Loop Closure Verification with Trajectory Prior in Repetitive Environments
Loop closure detection is important for simultaneous localization and mapping (SLAM), which associates current observations with historical keyframes, achieving drift correction and global relocalization. However, a falsely detected loop can be fatal, and this is especially difficult in repetitive environments where appearance-based features fail due to the high similarity. Therefore, verification of a loop closure is a critical step in avoiding false positive detections. Existing works in loop…

Confinement in QCD: A Hybrid String Model with Vortex Corrections and Entanglement Entropy
Fidele J. Twagirayezu
https://arxiv.org/abs/2507.10825 https://

Confinement in QCD: A Hybrid String Model with Vortex Corrections and Entanglement Entropy
Confinement in Quantum Chromodynamics (QCD), binding quarks and gluons into hadrons, is characterized by a linear potential and the Wilson loop area law. We develop an analytical framework in $\text{SU(3)}$ gauge theory, proposing a hybrid effective string model that integrates chromoelectric flux tubes with topological corrections from \(\mathbb{Z}_3\) center vortices. Using strong-coupling expansion, we derive the Wilson loop expectation value, incorporating novel logarithmic vortex correctio…

Convection in a Rapidly Rotating Spherical Shell: Newton's Method Using Implicit Coriolis Integration
Juan Cruz Gonzalez Sembla, Camille Rambert, Fred Feudel, Laurette S. Tuckerman
https://arxiv.org/abs/2508.16635

Convection in a Rapidly Rotating Spherical Shell: Newton's Method Using Implicit Coriolis Integration
Geophysical flows are characterized by rapid rotation. Simulating these flows requires small timesteps to achieve stability and accuracy. Numerical stability can be greatly improved by the implicit integration of the terms that are most responsible for destabilizing the numerical scheme. We have implemented an implicit treatment of the Coriolis force in a rotating spherical shell driven by a radial thermal gradient. We modified the resulting timestepping code to carry out steady-state solving v…

Emoanti: audio anti-deepfake with refined emotion-guided representations
Xiaokang Li, Yicheng Gong, Dinghao Zou, Xin Cao, Sunbowen Lee
https://arxiv.org/abs/2509.10781 https://

Emoanti: audio anti-deepfake with refined emotion-guided representations
Audio deepfake is so sophisticated that the lack of effective detection methods is fatal. While most detection systems primarily rely on low-level acoustic features or pretrained speech representations, they frequently neglect high-level emotional cues, which can offer complementary and potentially anti-deepfake information to enhance generalization. In this work, we propose a novel audio anti-deepfake system that utilizes emotional features (EmoAnti) by exploiting a pretrained Wav2Vec2 (W2V2) …

Reconfigurable Antenna Arrays With Tunable Loads: Expanding Solution Space via Coupling Control
Elio Faddoul, Konstantinos Ntougias, Ioannis Krikidis
https://arxiv.org/abs/2507.15074

Reconfigurable Antenna Arrays With Tunable Loads: Expanding Solution Space via Coupling Control
The emerging reconfigurable antenna (RA) array technology promises capacity enhancement through dynamic antenna positioning. Traditional approaches enforce half-wavelength or greater spacing among RA elements to avoid mutual coupling, limiting the solution space. Additionally, achieving sufficient spatial channel sampling requires numerous discrete RA positions (ports), while high-frequency scenarios with hybrid processing demand many physical RAs to maintain array gains. This leads to exponent…