Results 111 to 120 of about 5,104 (213)
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
Calibration‐Free Electromyography Motor Intent Decoding Using Large‐Scale Supervised Pretraining
Calibration‐free electromyography motor intent decoding is enabled through large‐scale supervised pretraining across heterogeneous datasets. A Spatially Aware Feature‐learning Transformer processes variable channel counts and electrode geometries, allowing transfer across users and recording setups. On a held‐out benchmark, fine‐tuned cross‐user models
Alexander E. Olsson +3 more
wiley +1 more source
Cooperative evolution with reward-based heterogeneous tax in spatial public goods games. [PDF]
Yue L, Zhang H, Sun Y, An T, Wang J.
europepmc +1 more source
Directed migration shapes cooperation in spatial ecological public goods games. [PDF]
Funk F, Hauert C.
europepmc +1 more source
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source
Discipline and punishment in panoptical public goods games. [PDF]
Botta R, Blanco G, Schaerer CE.
europepmc +1 more source
Group size effects and critical mass in public goods games. [PDF]
Pereda M, Capraro V, Sánchez A.
europepmc +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Analysing public goods games using reinforcement learning: effect of increasing group size on cooperation. [PDF]
Tamura K, Morita S.
europepmc +1 more source
Author Correction: Group size effects and critical mass in public goods games. [PDF]
Pereda M, Capraro V, Sánchez A.
europepmc +1 more source

