Tootfinder

QWD-GAN: Quality-aware Wavelet-driven GAN for Unsupervised Medical Microscopy Images Denoising
Qijun Yang, Yating Huang, Lintao Xiang, Hujun Yin
https://arxiv.org/abs/2509.15814

QWD-GAN: Quality-aware Wavelet-driven GAN for Unsupervised Medical Microscopy Images Denoising
Image denoising plays a critical role in biomedical and microscopy imaging, especially when acquiring wide-field fluorescence-stained images. This task faces challenges in multiple fronts, including limitations in image acquisition conditions, complex noise types, algorithm adaptability, and clinical application demands. Although many deep learning-based denoising techniques have demonstrated promising results, further improvements are needed in preserving image details, enhancing algorithmic e…

Improving Pre-Trained Vision-Language-Action Policies with Model-Based Search
Cyrus Neary, Omar G. Younis, Artur Kuramshin, Ozgur Aslan, Glen Berseth
https://arxiv.org/abs/2508.12211

Improving Pre-Trained Vision-Language-Action Policies with Model-Based Search
Pre-trained vision-language-action (VLA) models offer a promising foundation for generalist robot policies, but often produce brittle behaviours or unsafe failures when deployed zero-shot in out-of-distribution scenarios. We present Vision-Language-Action Planning & Search (VLAPS) -- a novel framework and accompanying algorithms that embed model-based search into the inference procedure of pre-trained VLA policies to improve their performance on robotic tasks. Specifically, our method biases a …

Algorithmic analysis of a complex reliability system subject to multiple events with a preventive maintenance strategy and a Bernoulli vacation policy through MMAPs
Juan Eloy Ruiz-Castro, Hugo Ala\'in Zapata-Ceballos
https://arxiv.org/abs/2510.11506

Algorithmic analysis of a complex reliability system subject to multiple events with a preventive maintenance strategy and a Bernoulli vacation policy through MMAPs
In this work, a single-unit multi-state system is considered. The system is subject to internal failures, as well as external shocks with multiple consequences. It also incorporates a preventive maintenance strategy and a Bernoulli vacation policy for the repairperson. It is algorithmically modeled in both continuous and discrete time using Marked Markovian Arrival Processes (MMAP). The system's operation/degradation level is divided into an indeterminate number of levels. Upon returning from a…

A Type 2 Fuzzy Set Approach for Building Linear Linguistic Regression Analysis under Multi Uncertainty
Junzo Watada, Pei-Chun Lin, Bo Wang, Jeng-Shyang Pan, Jose Guadalupe Flores Muniz
https://arxiv.org/abs/2509.10498

A Type 2 Fuzzy Set Approach for Building Linear Linguistic Regression Analysis under Multi Uncertainty
In this paper, we propose a novel heuristic algorithm for constructing a Type-2 Fuzzy Set of the Linear Linguistic Regression (T2F-LLR) model, designed to address uncertainty and vagueness in real-world decision-making. We consider a practical scenario involving a cosmetic company's promotional planning across four product categories: Basic Face Care, Face Cleaning, Cosmetics, and Body Care, aimed at both male and female consumers. Data are collected using fuzzy linguistic questionnaires from c…

This is only true for some flavors of "big accounts."
A number of the people I follow with thousands of followers are ONLY on the #Fediverse and most of the rest are only here and on Bluesky. I routinely block people here and on Bluesky (and across the bridge) who pull in the sewage from X and dump it in either place.
I'm not really interested in following people that wa…

Coupled tensor models for probability mass function estimation: Part I, Principles and algorithms
Philippe Flores (CNRS, UGA, Grenoble INP, GIPSA-lab), Konstantin Usevich (CRAN, CNRS, UL), David Brie (CRAN, CNRS, UL)
https://arxiv.org/abs/2509.04930

Coupled tensor models for probability mass function estimation: Part I, Principles and algorithms
In this article, a Probability Mass Function (PMF) estimation method which tames the curse of dimensionality is proposed. This method, called Partial Coupled Tensor Factorization of 3D marginals or PCTF3D, has for principle to partially couple order-3 data projections -- seen as order-3 tensors -- to obtain a tensor decomposition of the probability mass tensor. The novelty of PCTF3D relies on partial coupling which consists in choosing a subset of 3D marginals. The choice of marginals is then f…

Solar Flare Hard X-ray Polarimetry with the CUbesat Solar Polarimeter (CUSP) mission
Nicolas De Angelis, Andrea Alimenti, Davide Albanesi, Ilaria Baffo, Daniele Brienza, Riccardo Campana, Valerio Campamaggiore, Mauro Centrone, Enrico Costa, Giovanni Cucinella, Andrea Curatolo, Giovanni De Cesare, Giulia de Iulis, Ettore Del Monte, Andrea Del Re, Sergio Di Cosimo, Simone Di Filippo, Giuseppe Di Persio, Immacolata Donnarumma, Sergio Fabiani, Pierluigi Fanelli, Nicolas Gagliardi, Abhay Ku…

Solar Flare Hard X-ray Polarimetry with the CUbesat Solar Polarimeter (CUSP) mission
The CUbesat Solar Polarimeter (CUSP) project is a CubeSat mission planned for a launch in low-Earth orbit and aimed to measure the linear polarization of solar flares in the hard X-ray band by means of a Compton scattering polarimeter. CUSP will allow us to study the magnetic reconnection and particle acceleration in the flaring magnetic structures of our star. CUSP is a project in the framework of the Alcor Program of the Italian Space Agency aimed at developing new CubeSat missions. It is und…

The multi-physics analysis, design and testing of CUSP, a CubeSat mission for space weather and solar flares x-ray polarimetry
Giovanni Lombardi, Sergio Fabiani, Ettore Del Monte, Andrea Alimenti, Riccardo Campana, Mauro Centrone, Enrico Costa, Nicolas De Angelis, Giovanni De Cesare, Sergio Di Cosimo, Giuseppe Di Persio, Abhay Kumar, Alessandro Lacerenza, Pasqualino Loffredo, Gabriele Minervini, Fabio Muleri, Paolo Romano, Alda Rubini, Emanuele Scalise, Enrico Silva, Paolo Soffitta, Da…

The multi-physics analysis, design and testing of CUSP, a CubeSat mission for space weather and solar flares x-ray polarimetry
The space-based CUbesat Solar Polarimeter (CUSP) mission aims to measure the linear polarization of solar flares in the hard X-ray band by means of a Compton scattering polarimeter. CUSP is a project in the framework of the Alcor Program of the Italian Space Agency aimed at developing new CubeSat missions. As part of CUSP's Phase B study, which began in December 2024 and will last one year, we present the current development status of the design solutions adopted for the mission's most critical…

Fully Decentralised Consensus for Extreme-scale Blockchain
Siamak Abdi, Giuseppe Di Fatta, Atta Badii, Giancarlo Fortino
https://arxiv.org/abs/2508.02595 https://

Fully Decentralised Consensus for Extreme-scale Blockchain
Blockchain is a decentralised, immutable ledger technology that has been widely adopted in many sectors for various applications such as cryptocurrencies, smart contracts and supply chain management. Distributed consensus is a fundamental component of blockchain, which is required to ensure trust, security, and integrity of the data stored and the transactions processed in the blockchain. Various consensus algorithms have been developed, each affected from certain issues such as node failures, …

Generative Annotation for ASR Named Entity Correction
Yuanchang Luo, Daimeng Wei, Shaojun Li, Hengchao Shang, Jiaxin Guo, Zongyao Li, Zhanglin Wu, Xiaoyu Chen, Zhiqiang Rao, Jinlong Yang, Hao Yang
https://arxiv.org/abs/2508.20700

Generative Annotation for ASR Named Entity Correction
End-to-end automatic speech recognition systems often fail to transcribe domain-specific named entities, causing catastrophic failures in downstream tasks. Numerous fast and lightweight named entity correction (NEC) models have been proposed in recent years. These models, mainly leveraging phonetic-level edit distance algorithms, have shown impressive performances. However, when the forms of the wrongly-transcribed words(s) and the ground-truth entity are significantly different, these methods …