Tootfinder

SEO-Spam:
Warum Google immer schlechter wird
Die Suche im Internet gestaltet sich immer schwieriger. Ein Grund dafür sind sogenannte #Affiliate-Links, mit denen Website-Anbieter auf einfache Weise Geld verdienen. Gegen deren Suchmaschinenoptimierung sind Dienste wie #Google

SEO-Spam: Warum Google immer schlechter wird
Die Suche im Internet gestaltet sich immer schwieriger. Ein Grund dafür sind sogenannte Affiliate-Links, mit denen Website-Anbieter auf einfache Weise Geld verdienen. Gegen deren Suchmaschinenoptimierung sind Dienste wie Google Search oder Microsoft Bing offenbar machtlos.

This https://arxiv.org/abs/2306.04527 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

ContriMix: Scalable stain color augmentation for domain generalization without domain labels in digital pathology
Differences in staining and imaging procedures can cause significant color variations in histopathology images, leading to poor generalization when deploying deep-learning models trained from a different data source. Various color augmentation methods have been proposed to generate synthetic images during training to make models more robust, eliminating the need for stain normalization during test time. Many color augmentation methods leverage domain labels to generate synthetic images. This ap…

Hui, bei #Netzpolitik ist es im Jahr 2024 mal aufgefallen, dass die SEO-Spam aus der Suchmaschine #Google einen unbrauchbaren Schrotthaufen gemacht hat:

Modelling the rotation dependence of cycle variability in sun-like stars: Answering why only slowly rotating stars produce grand minima
Vindya Vashishth
https://arxiv.org/abs/2402.10911

Modelling the rotation dependence of cycle variability in sun-like stars: Answering why only slowly rotating stars produce grand minima
The Sun and solar-type stars exhibit irregular cyclic variations in their magnetic activity over long time scales. To understand this irregularity, we employed the flux transport dynamo models to investigate the behavior of one solar mass star at various rotation rates. To achieve this, we have utilized a mean-field hydrodynamic model to specify differential rotation and meridional circulation, and we have incorporated stochastic fluctuations in the Babcock-Leighton source of the poloidal field…

Angularly Sparse Channel Estimation in Dual-Wideband Tera-Hertz (THz) Hybrid MIMO Systems Relying on Bayesian Learning
Abhisha Garg, Suraj Srivastava, Nimish Yadav, Aditya K. Jagannatham, Lajos Hanzo
https://arxiv.org/abs/2402.12158

Angularly Sparse Channel Estimation in Dual-Wideband Tera-Hertz (THz) Hybrid MIMO Systems Relying on Bayesian Learning
Bayesian learning aided massive antenna array based THz MIMO systems are designed for spatial-wideband and frequency-wideband scenarios, collectively termed as the dual-wideband channels. Essentially, numerous antenna modules of the THz system result in a significant delay in the transmission/ reception of signals in the time-domain across the antennas, which leads to spatial-selectivity. As a further phenomenon, the wide bandwidth of THz communication results in substantial variation of the ef…