Tootfinder

fftvis: A Non-Uniform Fast Fourier Transform Based Interferometric Visibility Simulator
Tyler A. Cox, Steven G. Murray, Aaron R. Parsons, Joshua S. Dillon, Kartik Mandar, Zachary E. Martinot, Robert Pascua, Piyanat Kittiwisit, James E. Aguirre
#toXiv_bot_toot

This https://arxiv.org/abs/2505.24799 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Beyond Pretty Pictures: Combined Single- and Multi-Image Super-resolution for Sentinel-2 Images
Super-resolution aims to increase the resolution of satellite images by reconstructing high-frequency details, which go beyond naïve upsampling. This has particular relevance for Earth observation missions like Sentinel-2, which offer frequent, regular coverage at no cost; but at coarse resolution. Its pixel footprint is too large to capture small features like houses, streets, or hedge rows. To address this, we present SEN4X, a hybrid super-resolution architecture that combines the advantages…

'Dinge die mit "S" beginnen oder so aussehen ...' #FotoVorschlag (Things starting with S).
#Schnee / #Snow
I took this

Beyond Pretty Pictures: Combined Single- and Multi-Image Super-resolution for Sentinel-2 Images
Aditya Retnanto (Asian Development Bank, Philippines), Son Le (Asian Development Bank, Philippines), Sebastian Mueller (Asian Development Bank, Philippines), Armin Leitner (GeoVille Information Systems and Data Processing GmbH, Austria), Konrad Schindler (ETH Z\"urich, Switzerland), Yohan Iddawela (Asian Development Bank, Philippines), Michael Riffler (GeoVille Information Systems and D…

Beyond Pretty Pictures: Combined Single- and Multi-Image Super-resolution for Sentinel-2 Images
Super-resolution aims to increase the resolution of satellite images by reconstructing high-frequency details, which go beyond naïve upsampling. This has particular relevance for Earth observation missions like Sentinel-2, which offer frequent, regular coverage at no cost; but at coarse resolution. Its pixel footprint is too large to capture small features like houses, streets, or hedge rows. To address this, we present SEN4X, a hybrid super-resolution architecture that combines the advantages…

A look at seven UX issues in the Fediverse web experience, including complex onboarding, the lack of a dedicated DM UI wrapper, and fragmented user discovery (Tim Chambers)
https://www.timothychambers.net/2025/06/18/113327.html

The Seven Deadly UX Sins of the Fediverse Web Experience (To Fix)
So, confession time: I was recently helping a new client get set up on the Fediverse—guiding them through their first steps into our glorious decentralized galaxy. And seeing it all again through fresh eyes? Reader, it was brutal. So much of what should be table stakes for any social media UX in the year of our Lord 2025 still is missing or deeply broken still. I know progress has been made and a good fight, fought.

WattsOnAI: Measuring, Analyzing, and Visualizing Energy and Carbon Footprint of AI Workloads
Hongzhen Huang, Kunming Zhang, Hanlong Liao, Kui Wu, Guoming Tang
https://arxiv.org/abs/2506.20535

WattsOnAI: Measuring, Analyzing, and Visualizing Energy and Carbon Footprint of AI Workloads
The rapid advancement of AI, particularly large language models (LLMs), has raised significant concerns about the energy use and carbon emissions associated with model training and inference. However, existing tools for measuring and reporting such impacts are often fragmented, lacking systematic metric integration and offering limited support for correlation analysis among them. This paper presents WattsOnAI, a comprehensive software toolkit for the measurement, analysis, and visualization of …

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture
Gautam Siddharth Kashyap, Md Tabrez Nafis, Samar Wazir
https://arxiv.org/abs/2506.15737

A Study of Hybrid and Evolutionary Metaheuristics for Single Hidden Layer Feedforward Neural Network Architecture
Training Artificial Neural Networks (ANNs) with Stochastic Gradient Descent (SGD) frequently encounters difficulties, including substantial computing expense and the risk of converging to local optima, attributable to its dependence on partial weight gradients. Therefore, this work investigates Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs) - two population-based Metaheuristic Optimizers (MHOs) - as alternatives to SGD to mitigate these constraints. A hybrid PSO-SGD strategy is …