Tootfinder

SO-PIFRNN: Self-optimization physics-informed Fourier-features randomized neural network for solving partial differential equations
Jiale Linghu, Weifeng Gao, Hao Dong, Yufeng Nie
https://arxiv.org/abs/2508.10921

SO-PIFRNN: Self-optimization physics-informed Fourier-features randomized neural network for solving partial differential equations
This study proposes a self-optimization physics-informed Fourier-features randomized neural network (SO-PIFRNN) framework, which significantly improves the numerical solving accuracy of PDEs through hyperparameter optimization mechanism. The framework employs a bi-level optimization architecture: the outer-level optimization utilizes a multi-strategy collaborated particle swarm optimization (MSC-PSO) algorithm to search for optimal hyperparameters of physics-informed Fourier-features randomized…

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(MSc thesis) Biological vision inspired systems in biomedical applications https://ses.library.usyd.edu.au/handle/2123/32716

Sri Lanka hit by plastic pollution after cargo ship sinks off Indian coast https://news.mongabay.com/short-article/2025/07/sri-lanka-hit-by-plastic-pollution-after-cargo-ship-sinks-off-indian-coast/

Sri Lanka hit by plastic pollution after cargo ship sinks off Indian coast
Sri Lankan authorities, locals and environmentalists say they’re deeply concerned about the possible impacts on the country’s marine ecosystem and coastal communities from the sinking of a container ship off the southern coast of India in May, Mongabay contributor Malaka Rodrigo reported in June. The Liberia-flagged ship MSC Elsa 3 sank on May 25 about […]

Covariance Decomposition for Distance Based Species Tree Estimation
Georgios Aliatimis, Ruriko Yoshida, Burak Boyak, James Grant
https://arxiv.org/abs/2506.16425

Covariance Decomposition for Distance Based Species Tree Estimation
In phylogenomics, species-tree methods must contend with two major sources of noise; stochastic gene-tree variation under the multispecies coalescent model (MSC) and finite-sequence substitutional noise. Fast agglomerative methods such as GLASS, STEAC, and METAL combine multi-locus information via distance-based clustering. We derive the exact covariance matrix of these pairwise distance estimates under a joint MSC-plus-substitution model and leverage it for reliable confidence estimation, and …

Replaced article(s) found for physics.ed-ph. https://arxiv.org/list/physics.ed-ph/new
[1/1]:
- Inference accuracy about an aircraft crash
Fran\c{c}ois Graner (MSC), Stefano Matthias Panebianco (DPHN)