Results 271 to 280 of about 3,348,536 (356)
How Similar Are Students' Aggregated State Emotions to Their Self-Reported Trait Emotions? Results from a Measurement Burst Design Across Three School Years. [PDF]
Keller MM+3 more
europepmc +1 more source
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
Achievement emotions in kindergarten: the association of solution accuracy with discrete joy, sadness, and surprise. [PDF]
Kutaka TS, Chernyavskiy P, Hofkens T.
europepmc +1 more source
This article offers a comprehensive review of topic modeling techniques, tracing their evolution from inception to recent developments. It explores methods such as latent Dirichlet allocation, latent semantic analysis, non‐negative matrix factorization, probabilistic latent semantic analysis, Top2Vec, and BERTopic, highlighting their strengths ...
Pratima Kumari+6 more
wiley +1 more source
Kondo-like Behavior in Lightly Gd-Doped Manganite CaMnO<sub>3</sub>. [PDF]
Ivek T+6 more
europepmc +1 more source
Soft robots capable of morphing into various 3D shapes are crucial for applications like human‐machine interfaces and biological manipulation. However, controlling 3D shape‐morphing robots with soft actuators remains a challenge. This work introduces a machine learning model that maps complex 3D deformations to control inputs, enabling robots to mimic ...
Jue Wang+3 more
wiley +1 more source
Transfer learning of neural operators for partial differential equations based on sparse network λ-FNO. [PDF]
Xu J, Zhou Y, Liu Q, Li K, Yang H.
europepmc +1 more source
UP3: Unsupervised Predictive Path Planner for Mobile Robots in Unknown Environment
In this article, an unsupervised learning‐based predictive path planning framework UP3 for mobile robots is introduced. The framework employs attention‐based path optimization, control barrier functions, and a deep constraint correction module. UP3 allows the robot to use local observation to generate smooth, safe, and collision‐free path points toward
Jianing Luo+4 more
wiley +1 more source