The southern sotho speech identification/discrimination test construction
Jacob Japane Mohale Semela
openalex +1 more source
A loss‐based ensemble generative adversarial network (GAN) framework is proposed to address mode collapse in sperm morphology classification. By integrating spatial augmentation and multiple GAN models, the study enhances synthetic data quality. The Shifted Window Transformer achieves 95.37% accuracy on the HuSHeM dataset, outperforming previous ...
Berke Cansiz +2 more
wiley +1 more source
Identification of a Novel Likely Pathogenic Variant of DIAPH3 Associated With New Phenotype of Sensorineural Hearing Loss. [PDF]
Zeng L +8 more
europepmc +1 more source
Discrimination loss vs. SRT: A model-based approach towards harmonizing speech test interpretations [PDF]
Mareike Buhl +4 more
openalex +1 more source
Riemannian Geometry for the Classification of Brain States with Intracortical Brain Recordings
Geometric machine learning is applied to decode brain states from invasive intracortical neural recordings, extending Riemannian methods to the invasive regime where data is scarcer and less stationary. A Minimum Distance to Mean classifier on covariance manifolds uses geodesic distances to outperform convolutional neural networks while reducing ...
Arnau Marin‐Llobet +9 more
wiley +1 more source
Effect of Age on Psychoacoustic Abilities in Musicians and Nonmusicians. [PDF]
Shankar K, Uppunda AK.
europepmc +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
The relationship between auditory processing disorder and articulation disorders. [PDF]
Alqudah S, Al-Rashed L, Mansi L.
europepmc +1 more source
From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal +2 more
wiley +1 more source
Auditory-cognitive contributions to speech-in-noise perception determined with structural equation modelling of a large sample. [PDF]
Benzaquén E +5 more
europepmc +1 more source

