Results 171 to 180 of about 195,949 (260)
Progressive distribution adapted neural networks for cross-corpus speech emotion recognition. [PDF]
Zong Y +6 more
europepmc +1 more source
Comparative histological and semi‐automated image analysis of primate lips: Masson's trichrome‐stained sagittal sections were segmented to quantify the connective tissue, adipose, and muscular components, enabling interspecific comparisons of labial architecture.
Liat Rotenstreich +5 more
wiley +1 more source
Speech emotion recognition based on a stacked autoencoders optimized by PSO based grass fibrous root optimization. [PDF]
Zeng C, Li J, Habibi A.
europepmc +1 more source
The Impact of Attention Mechanisms on Speech Emotion Recognition. [PDF]
Chen S +5 more
europepmc +1 more source
Descriptive, comparative, and functional anatomy of the facial musculature in cattle (Bos taurus)
Abstract Facial expressions can provide insight into animal emotions and pain, but no standardized system for assessing the entire facial display in cattle (Bos taurus Linnaeus) exists. The Facial Action Coding System (FACS), originally developed for humans, identifies distinct facial movements based on mimetic muscles.
Maja Söderlind +6 more
wiley +1 more source
A Combined CNN Architecture for Speech Emotion Recognition. [PDF]
Begazo R +3 more
europepmc +1 more source
A novel speech emotion recognition method based on feature construction and ensemble learning. [PDF]
Guo Y, Xiong X, Liu Y, Xu L, Li Q.
europepmc +1 more source
‘SOMS BrainSpace’: A digital serious game for undergraduate neuroscience
Abstract Neuroanatomy is challenging for many undergraduates, requiring strong visuospatial skills and a deep understanding of complex concepts. This study developed and evaluated SOMS BrainSpace, a digital serious game for neuroanatomy education, using a mixed methods approach.
Anthony Tran +3 more
wiley +1 more source
Building a Gender-Bias-Resistant Super Corpus as a Deep Learning Baseline for Speech Emotion Recognition. [PDF]
Abbaschian B, Elmaghraby A.
europepmc +1 more source
Abstract Engaging students and fostering interactions can be a challenge in large enrollment, foundational‐level, undergraduate anatomy classes. Despite the active learning environment of the anatomy laboratory, students often struggle to find study partners or even speak to fellow learners in a large classroom.
Kristin Stover +2 more
wiley +1 more source

